Hamid Maghat

1.1k total citations · 1 hit paper
40 papers, 830 citations indexed

About

Hamid Maghat is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Hamid Maghat has authored 40 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Organic Chemistry, 25 papers in Computational Theory and Mathematics and 12 papers in Molecular Biology. Recurrent topics in Hamid Maghat's work include Synthesis and biological activity (28 papers), Computational Drug Discovery Methods (25 papers) and Cancer therapeutics and mechanisms (5 papers). Hamid Maghat is often cited by papers focused on Synthesis and biological activity (28 papers), Computational Drug Discovery Methods (25 papers) and Cancer therapeutics and mechanisms (5 papers). Hamid Maghat collaborates with scholars based in Morocco, Jordan and Portugal. Hamid Maghat's co-authors include Hammou Ahlafi, Mustapha Aazza, Hamou Moussout, Mohammed Bouachrıne, Tahar Lakhlifi, Abdelouahid Sbai, Kamal Tabti, Marwa Alaqarbeh, Mohammed Aziz Ajana and Reda El-Mernissi and has published in prestigious journals such as Journal of Molecular Liquids, Journal of environmental chemical engineering and New Journal of Chemistry.

In The Last Decade

Hamid Maghat

38 papers receiving 815 citations

Hit Papers

Critical of linear and nonlinear equations of pseudo-firs... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hamid Maghat Morocco 15 324 243 225 131 112 40 830
Hussein S. Mohamed Egypt 19 228 0.7× 214 0.9× 100 0.4× 74 0.6× 123 1.1× 62 840
Marwa Alaqarbeh Morocco 16 309 1.0× 95 0.4× 235 1.0× 126 1.0× 154 1.4× 74 818
Shahzad Murtaza Pakistan 20 538 1.7× 143 0.6× 96 0.4× 152 1.2× 219 2.0× 77 1.2k
T. P. Krishna Murthy India 16 149 0.5× 263 1.1× 67 0.3× 183 1.4× 119 1.1× 45 944
Mohsan Nawaz Pakistan 21 534 1.6× 112 0.5× 111 0.5× 163 1.2× 280 2.5× 72 1.2k
Sadaf Mutahir China 22 322 1.0× 215 0.9× 66 0.3× 124 0.9× 434 3.9× 52 1.3k
Sami A. Al‐Hussain Saudi Arabia 22 846 2.6× 156 0.6× 281 1.2× 369 2.8× 275 2.5× 188 1.8k
Dalal Z. Husein Egypt 21 635 2.0× 197 0.8× 152 0.7× 489 3.7× 288 2.6× 71 1.5k
Seema Joshi India 13 299 0.9× 123 0.5× 108 0.5× 111 0.8× 98 0.9× 31 645
Ali Aydın Türkiye 19 388 1.2× 131 0.5× 52 0.2× 190 1.5× 177 1.6× 81 1.1k

Countries citing papers authored by Hamid Maghat

Since Specialization
Citations

This map shows the geographic impact of Hamid Maghat'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 Hamid Maghat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Maghat more than expected).

Fields of papers citing papers by Hamid Maghat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamid Maghat. 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 Hamid Maghat. The network helps show where Hamid Maghat may publish in the future.

Co-authorship network of co-authors of Hamid Maghat

This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Maghat. A scholar is included among the top collaborators of Hamid Maghat 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 Hamid Maghat. Hamid Maghat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
El-Mernissi, Reda, Marwa Alaqarbeh, Eda Sönmez Gürer, et al.. (2025). Design, 3D-QSAR, molecular docking, MD simulations, ADME/Tox properties and DFT study of benzimidazole derivatives as promising α-glucosidase inhibitors. Journal of Molecular Structure. 1328. 141351–141351. 2 indexed citations
2.
Alaqarbeh, Marwa, et al.. (2025). Integrated Computational Exploring of Benzoyl Thienopyrimidine Derivatives as Potential ERα Regulators in Breast Cancer Treatment. Jordan Journal of Pharmaceutical Sciences. 18(2). 596–616.
3.
El-Mernissi, Reda, Marwa Alaqarbeh, Hamid Maghat, et al.. (2024). Integrated computer aided methods to designing potent α-Glucosidase inhibitors based on quinoline scaffold derivative. Current Chemistry Letters. 14(1). 79–106. 2 indexed citations
4.
Sbai, Abdelouahid, et al.. (2024). Inhibition activity of triazoles as a new family for the inhibition of the Indoleamine 2,3-dioxygenase 1 IDO1 protein using 2D-QSAR approach. Current Chemistry Letters. 13(3). 451–466. 1 indexed citations
5.
El-Mernissi, Reda, Marwa Alaqarbeh, Hamid Maghat, et al.. (2024). Design of new α-glucosidase inhibitors through a combination of 3D-QSAR, ADMET screening, molecular docking, molecular dynamics simulations and quantum studies. Arabian Journal of Chemistry. 17(3). 105656–105656. 11 indexed citations
6.
Tabti, Kamal, Abdelouahid Sbai, Hamid Maghat, Tahar Lakhlifi, & Mohammed Bouachrıne. (2023). Discovery of novel indoleamine 2,3-dioxygenase-1 (IDO-1) inhibitors: pharmacophore-based 3D-QSAR, Gaussian field-based 3D-QSAR, docking, and binding free energy studies. Structural Chemistry. 35(1). 135–160. 4 indexed citations
7.
Alaqarbeh, Marwa, Hafiz Muzzammel Rehman, Hamid Maghat, et al.. (2023). Computational and Retrosynthetic Investigation of Isoxazole‐Bearing Chalcones as Antioxidant Activate Compounds. ChemistrySelect. 8(7). 4 indexed citations
10.
Tabti, Kamal, Iqrar Ahmad, Imran Zafar, et al.. (2023). Profiling the structural determinants of pyrrolidine derivative as gelatinases (MMP-2 and MMP-9) inhibitors using in silico approaches. Computational Biology and Chemistry. 104. 107855–107855. 22 indexed citations
11.
Tabti, Kamal, Soukayna Baammi, Abdelouahid Sbai, et al.. (2023). Molecular modeling study of pyrrolidine derivatives as novel myeloid cell leukemia-1 inhibitors through combined 3D-QSAR, molecular docking, ADME/Tox and MD simulation techniques. Journal of Biomolecular Structure and Dynamics. 41(23). 13798–13814. 18 indexed citations
12.
El-Mernissi, Reda, et al.. (2022). Molecular Docking, ADMET Prediction, and Quantum Computational on 2-Methoxy Benzoyl Hydrazone Compounds as Potential Antileishmanial Inhibitors. Biointerface Research in Applied Chemistry. 13(4). 302–302. 7 indexed citations
13.
El-Mernissi, Reda, Marwa Alaqarbeh, Hamid Maghat, et al.. (2022). Computational study of quinoline-based thiadiazole compounds as potential antileishmanial inhibitors. New Journal of Chemistry. 46(36). 17554–17576. 12 indexed citations
14.
El-Mernissi, Reda, Marwa Alaqarbeh, Hamid Maghat, et al.. (2022). In silico identification of 1,2,4-triazoles as potential Candida Albicans inhibitors using 3D-QSAR, molecular docking, molecular dynamics simulations, and ADMET profiling. Molecular Diversity. 27(5). 2111–2132. 16 indexed citations
15.
El-Mernissi, Reda, Hamid Maghat, Mohammed Aziz Ajana, et al.. (2022). In silico study of 2,4,5-trisubstituted thiazoles as inhibitors of tuberculosis using 3D-QSAR, molecular docking, and ADMET analysis. El-Cezeri Fen ve Mühendislik Dergisi. 4 indexed citations
16.
Alaqarbeh, Marwa, et al.. (2022). A study of drug candidates derived from pleconaril for inhibiting coxsackievirus B3 (Cvb3) by ADMET, molecular docking, molecular dynamics and retrosynthesis. New Journal of Chemistry. 46(21). 10154–10161. 10 indexed citations
17.
Khatabi, Khalil El, et al.. (2021). 2D-QSAR modeling of novel pleconaril derivatives (isoxazole-based molecules) as antiviral inhibitors against Coxsackievirus B3 (CVB3). Jordan Journal of Pharmaceutical Sciences. 14(2). 2 indexed citations
18.
El-Mernissi, Reda, Khalil El Khatabi, Hamid Maghat, et al.. (2021). Prediction of potential inhibitors of SARS-CoV-2 using 3D-QSAR, molecular docking modeling and ADMET properties. Heliyon. 7(3). e06603–e06603. 22 indexed citations
19.
Aouidate, Adnane, Adib Ghaleb, Samir Chtita, et al.. (2020). Identification of a novel dual-target scaffold for 3CLpro and RdRp proteins of SARS-CoV-2 using 3D-similarity search, molecular docking, molecular dynamics and ADMET evaluation. Journal of Biomolecular Structure and Dynamics. 39(12). 4522–4535. 44 indexed citations
20.
Moussout, Hamou, Hammou Ahlafi, Mustapha Aazza, & Hamid Maghat. (2018). Critical of linear and nonlinear equations of pseudo-first order and pseudo-second order kinetic models. Karbala International Journal of Modern Science. 4(2). 244–254. 360 indexed citations breakdown →

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.

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