Khalil El Khatabi

599 citations

26 papers · 468 indexed · 1 hit paper · h-index 10

Co-authors: Tahar Lakhlifi Mohammed Bouachrıne Ilham Aanouz Assia Belhassan Mohammed Aziz Ajana Reda El-Mernissi Hamid Maghat Marwa Alaqarbeh
Topics: Computational Drug Discovery Methods (21 papers)Synthesis and biological activity (16 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)
Cited by: Computational Theory and Mathematics Complementary and alternative medicine Pharmacology
Journals: SHILAP Revista de lepidopterologíaHeliyon Journal of Biomolecular Structure and Dynamics
Partner nations: Morocco Portugal India

In The Last Decade

Khalil El Khatabi

26 papers receiving 462 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Moroccan Medicinal plants as inhibitors against SARS-CoV-2 main protease: Computational investigations

2020 276 citations Ilham Aanouz, Assia Belhassan et al. Journal of Biomolecular Structure and Dynamics profile →

Peers

Countries citing papers authored by Khalil El Khatabi

Since Specialization

Citations

This map shows the geographic impact of Khalil El Khatabi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Khalil El Khatabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalil El Khatabi more than expected).

Fields of papers citing papers by Khalil El Khatabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalil El Khatabi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Khalil El Khatabi. The network helps show where Khalil El Khatabi may publish in the future.

Co-authorship network of co-authors of Khalil El Khatabi

This figure shows the co-authorship network connecting the top 25 collaborators of Khalil El Khatabi. A scholar is included among the top collaborators of Khalil El Khatabi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khalil El Khatabi. Khalil El Khatabi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	In-Silico Investigation of Osimertinib Based Compounds as Potential Double Mutant EGFR Kinase Inhibitors Against H1975 Cell Line: Integrating QSAR Modeling, Molecular Docking, MD Simulations, and ADME/Tox Studies 2023 ·Chemistry Africa ·(unknown),(unknown),Marwa Alaqarbeh,(unknown),(unknown),Khalil El Khatabi,M’barek Choukrad,(unknown),Mohammed Bouachrıne,Tahar Lakhlifi	2
2	Designing of Novel Quinolines Derivatives as Hepatocellular Carcinoma Inhibitors by Using In silico Approaches 2022 ·Biointerface Research in Applied Chemistry ·Reda El-Mernissi,Khalil El Khatabi,(unknown),(unknown),(unknown),Mohammed Aziz Ajana,Tahar Lakhlifi,Mohammed Bouachrıne,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown)	5
3	Chemical Composition and In Silico Acetylcholinesterase Inhibitory Activity of Essential Oils of Six Apiaceae Species from South-East Morocco 2022 ·Biointerface Research in Applied Chemistry ·(unknown),(unknown),Khalil El Khatabi,(unknown),Mohammed Aziz Ajana,Mohammed Bouachrıne,Tahar Lakhlifi,Mostafa El Idrissi,M’barek Choukrad,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown)	5
4	Identification of Novel Indole Derivatives as Potent α-Amylase Inhibitors for the Treatment of Type-II Diabetes Using in-Silico Approaches 2022 ·Biointerface Research in Applied Chemistry ·Khalil El Khatabi,Reda El-Mernissi,(unknown),Atul Kumar Singh,Mohammed Aziz Ajana,Tahar Lakhlifi,Shashank Kumar,Mohammed Bouachrıne,(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown)	3
5	Cytotoxic activity of new thioglycosides against Escherichia coli: 2DQSAR study by Multiple Linear Regression method 2022 ·DergiPark (Istanbul University) ·(unknown),(unknown),(unknown),Khalil El Khatabi,(unknown),M’barek Choukrad,(unknown),Abdelouahid Sbai,Tahar Lakhlifi,Mohammed Bouachrıne	1
6	Benzimidazole Derivatives in Identifying Novel Acetylcholinesterase Inhibitors: A Combination of 3D-QSAR, Docking and Molecular Dynamics Simulation 2022 ·Physical chemistry research ·Khalil El Khatabi,Reda El-Mernissi,Ilham Aanouz,Mohammed Aziz Ajana,Tahar Lakhlifi,(unknown),Mohammed Bouachrıne	4
7	Rational design of novel potential EGFR inhibitors by 3D-QSAR, molecular docking, molecular dynamics simulation, and pharmacokinetics studies 2022 ·Chemical Data Collections ·Khalil El Khatabi,Reda El-Mernissi,(unknown),(unknown),Hafiz Muzzammel Rehman,Rohitash Yadav,Tahar Lakhlifi,Mohammed Aziz Ajana,Mohammed Bouachrıne	14
8	NovelEubacterium rectaleinhibitor fromCoriandrum sativumL. for possible prevention of colorectal cancer: a computational approach 2022 ·Journal of Biomolecular Structure and Dynamics ·Khalil El Khatabi,Shashank Kumar,Reda El-Mernissi,Atul Kumar Singh,Mohammed Aziz Ajana,Tahar Lakhlifi,Mohammed Bouachrıne	12
9	Molecular docking, molecular dynamics simulation, and ADMET analysis of levamisole derivatives against the SARS-CoV-2 main protease (M^Pro) 2021 ·Bioimpacts ·Khalil El Khatabi,Ilham Aanouz,Marwa Alaqarbeh,Mohammed Aziz Ajana,Tahar Lakhlifi,Mohammed Bouachrıne	13
10	QSAR Study of α-Glucosidase Inhibitors for Benzimidazole Bearing Bis-Schiff Bases Using CoMFA, CoMSIA, and Molecular Docking 2021 ·(unknown),(unknown),Reda El-Mernissi,Khalil El Khatabi,Ilham Aanouz,(unknown),Abdelouahid Sbai,Mohammed Bouachrıne,Tahar Lakhlifi	7
11	2D-QSAR modeling of novel pleconaril derivatives (isoxazole-based molecules) as antiviral inhibitors against Coxsackievirus B3 (CVB3) 2021 ·Jordan Journal of Pharmaceutical Sciences ·(unknown),Khalil El Khatabi,(unknown),Hamid Maghat,Abdelouahid Sbai,Mohammed Bouachrıne,Tahar Lakhlifi	2
12	Integrated 3D-QSAR, molecular docking, and molecular dynamics simulation studies on 1,2,3-triazole based derivatives for designing new acetylcholinesterase inhibitors 2021 ·TURKISH JOURNAL OF CHEMISTRY ·Khalil El Khatabi,Ilham Aanouz,Reda El-Mernissi,Atul Kumar Singh,Mohammed Aziz Ajana,Tahar Lakhlifi,Shashank Kumar,Mohammed Bouachrıne	14
13	Identification of novel acetylcholinesterase inhibitors through 3D-QSAR, molecular docking, and molecular dynamics simulation targeting Alzheimer’s disease 2021 ·Journal of Molecular Modeling ·Khalil El Khatabi,Reda El-Mernissi,Ilham Aanouz,Mohammed Aziz Ajana,Tahar Lakhlifi,Abbas Khan,Dong‐Qing Wei,Mohammed Bouachrıne	17
14	Prediction of potential inhibitors of SARS-CoV-2 using 3D-QSAR, molecular docking modeling and ADMET properties 2021 ·Heliyon ·(unknown),(unknown),(unknown),Reda El-Mernissi,Khalil El Khatabi,(unknown),Hamid Maghat,Mohammed Aziz Ajana,Abdelouahid Sbai,Mohammed Bouachrıne,Tahar Lakhlifi	22
15	2-Oxoquinoline Arylaminothiazole Derivatives in Identifying Novel Potential Anticancer Agents by Applying 3D-QSAR, Docking, and Molecular Dynamics Simulation Studies 2021 ·Journal of the Mexican Chemical Society ·Reda El-Mernissi,Khalil El Khatabi,(unknown),(unknown),Md Shahinozzaman,Mohammed Aziz Ajana,Tahar Lakhlifi,Mohammed Bouachrıne	9
16	Assessment of asthma treatment against SARS CoV-2 by using a computer approach 2021 ·SHILAP Revista de lepidopterología ·(unknown),Khalil El Khatabi,(unknown),(unknown),(unknown),Tahar Lakhlifi,Mohammed Aziz Ajana,Mohammed Bouachrıne	3
17	2D- and 3D-QSAR and Molecular Docking of 2-Hydroxyisoquinoline-1,3-Diones as Inhibitors of HIV Reverse Transcriptase 2020 ·Ilham Aanouz,Khalil El Khatabi,Assia Belhassan,Tahar Lakhlifi,(unknown),Mohammed Bouachrıne	3
18	Molecular docking and ADMET studies on searching potential inhibitors from Flavonoids derivates for Sars-Cov-2 2020 ·Reda El-Mernissi,Khalil El Khatabi,(unknown),(unknown),(unknown),Mohammed Bouachrıne,Tahar Lakhlifi	1
19	Design of Novel Benzimidazole Derivatives as Potential α-amylase Inhibitors by 3D-QSAR Modeling and Molecular Docking Studies 2020 ·SHILAP Revista de lepidopterología ·Khalil El Khatabi,Ilham Aanouz,Reda El-Mernissi,(unknown),Mohammed Aziz Ajana,Mohammed Bouachrıne,Tahar Lakhlifi	9
20	Discovery of new Sulfur-containing 1,4-naphthoquinone oxime derivatives as anti-MDR cancer agents using 3D QSAR and Docking Methods 2019 ·Khalil El Khatabi	1

About Khalil El Khatabi

Khalil El Khatabi is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmacology, having authored 26 papers that have together received 468 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Synthesis and biological activity (16 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Computational Theory and Mathematics (254 citations), Complementary and alternative medicine (75 citations) and Pharmacology (57 citations). Khalil El Khatabi has collaborated with scholars based in Morocco, Portugal and India. Frequent co-authors include Tahar Lakhlifi, Mohammed Bouachrıne, Ilham Aanouz, Assia Belhassan, Mohammed Aziz Ajana, Reda El-Mernissi, Hamid Maghat, Marwa Alaqarbeh, Atul Kumar Singh and Shashank Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Heliyon and Journal of Biomolecular Structure and Dynamics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact