Samir Chtita

3.9k total citations
242 papers, 2.9k citations indexed

About

Samir Chtita is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Samir Chtita has authored 242 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Organic Chemistry, 134 papers in Computational Theory and Mathematics and 51 papers in Molecular Biology. Recurrent topics in Samir Chtita's work include Computational Drug Discovery Methods (134 papers), Synthesis and biological activity (99 papers) and Cholinesterase and Neurodegenerative Diseases (22 papers). Samir Chtita is often cited by papers focused on Computational Drug Discovery Methods (134 papers), Synthesis and biological activity (99 papers) and Cholinesterase and Neurodegenerative Diseases (22 papers). Samir Chtita collaborates with scholars based in Morocco, Algeria and India. Samir Chtita's co-authors include Salah Belaıdı, Mohammed Bouachrıne, Ossama Daouı, Tahar Lakhlifi, Souad Elkhattabi, Oussama Abchır, Hassan Nour, Mebarka Ouassaf, Faizan Abul Qais and Mohamed Bakhouch and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Samir Chtita

212 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samir Chtita Morocco 31 1.5k 1.3k 770 356 185 242 2.9k
Tatyana A. Gloriozova Russia 23 1.1k 0.7× 773 0.6× 988 1.3× 547 1.5× 228 1.2× 60 2.8k
Andreas Eckert Germany 9 599 0.4× 1.0k 0.8× 1.0k 1.3× 322 0.9× 222 1.2× 21 2.5k
İsmail Çeli̇k Türkiye 27 1.0k 0.7× 443 0.3× 843 1.1× 270 0.8× 184 1.0× 190 2.6k
Tahar Lakhlifi Morocco 24 1.1k 0.7× 1.2k 0.9× 585 0.8× 180 0.5× 155 0.8× 197 2.6k
Ashwani Kumar India 34 2.5k 1.7× 1.0k 0.8× 921 1.2× 302 0.8× 102 0.6× 188 3.8k
Sankaranarayanan Murugesan India 32 1.7k 1.1× 449 0.3× 1.1k 1.4× 332 0.9× 202 1.1× 204 3.4k
Káthia M. Honório Brazil 26 549 0.4× 969 0.7× 1.0k 1.3× 344 1.0× 142 0.8× 149 2.6k
Muhammad Ali Pakistan 32 1.4k 1.0× 626 0.5× 784 1.0× 247 0.7× 92 0.5× 121 2.7k
Anastasia V. Rudik Russia 20 628 0.4× 892 0.7× 936 1.2× 304 0.9× 186 1.0× 59 2.2k
N. S. Hari Narayana Moorthy India 25 950 0.6× 460 0.3× 855 1.1× 198 0.6× 114 0.6× 126 2.4k

Countries citing papers authored by Samir Chtita

Since Specialization
Citations

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

Fields of papers citing papers by Samir Chtita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir Chtita

This figure shows the co-authorship network connecting the top 25 collaborators of Samir Chtita. A scholar is included among the top collaborators of Samir Chtita 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 Samir Chtita. Samir Chtita 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
2.
Nour, Hassan, et al.. (2025). In silico analysis of Moroccan medicinal plant compounds as potential inhibitors of influenza A (H3N2). Scientific African. 30. e02969–e02969.
3.
Errougui, Abdelkbir, et al.. (2025). In silico exploration of Aloe vera leaf compounds as dual AChE and BChE inhibitors for Alzheimer’s disease therapy. Current Pharmaceutical Analysis. 21(4). 238–248. 2 indexed citations
4.
Errougui, Abdelkbir, et al.. (2025). DockCADD: A streamlined in silico pipeline for the identification of potent ribosomal S6 Kinase 2 (RSK2) inhibitors. Scientific African. 27. e02581–e02581.
5.
Errougui, Abdelkbir, et al.. (2025). Screening of anti-carcinogenic properties of phytocompounds from Moroccan Marrubium vulgare for treating breast and prostate cancer through in silico approaches. Chemical Product and Process Modeling. 21(1). 115–137. 1 indexed citations
6.
Abchır, Oussama, Imane Yamari, Samir Chtita, et al.. (2024). Genotoxic effects and mitosis aberrations of chromium (VI) on root cells of Vicia faba and its molecular docking analysis. Plant Physiology and Biochemistry. 207. 108361–108361. 13 indexed citations
7.
Daouı, Ossama, et al.. (2024). Ligand-Based Design of Novel Quinoline Derivatives as Potential Anticancer Agents: An In-Silico Virtual Screening Approach. Molecules. 29(2). 426–426. 3 indexed citations
9.
Abchır, Oussama, Hassan Nour, Ossama Daouı, et al.. (2024). In Silico Design of Novel Piperazine-Based mTORC1 Inhibitors Through DFT, QSAR and ADME Investigations. SHILAP Revista de lepidopterología. 4(4). 517–529. 1 indexed citations
11.
Chalkha, Mohammed, Imane Yamari, Oussama Abchır, et al.. (2024). Synthesis, characterization, mechanistic study, in-vitro and in-silico evaluation of antibacterial and antioxidant activities of novel pyrazole-pyrazoline hybrid systems. Journal of Molecular Structure. 1309. 138087–138087. 14 indexed citations
12.
Yamari, Imane, et al.. (2024). Synthesis, Antimicrobial, Molecular Docking Against Bacterial and Fungal Proteins and In Silico Studies of Glucopyranoside Derivatives as Potent Antimicrobial Agents. Chemistry & Biodiversity. 21(9). e202400932–e202400932. 8 indexed citations
13.
Abchır, Oussama, Hassan Nour, Imane Yamari, et al.. (2024). Integrative Approach for Designing Novel Triazole Derivatives as α-Glucosidase Inhibitors: QSAR, Molecular Docking, ADMET, and Molecular Dynamics Investigations. Pharmaceuticals. 17(2). 261–261. 21 indexed citations
14.
Alaqarbeh, Marwa, et al.. (2024). Design, 3D-QSAR, molecular docking, ADMET, molecular dynamics and MM-PBSA simulations for new anti-breast cancer agents. Chemical Physics Impact. 8. 100455–100455. 25 indexed citations
15.
Jourdain, Isabelle, Michael Knorr, Farhan Siddique, et al.. (2024). Synthesis and crystallographic investigation of dicobalt tetrahedrane complexes ligated by 2-butyne-1,4-diol. In silico evaluation of their efficiency as anticancer metallodrugs. Journal of Molecular Structure. 1321. 140108–140108. 3 indexed citations
16.
Benzbiria, N., Anas Chraka, Amel Djedouani, et al.. (2023). Electrochemical, surface analysis, computational and anticorrosive studies of novel naphthalene derivative on carbon steel surface. International Journal of Corrosion and Scale Inhibition. 12(4). 4 indexed citations
18.
Aissouq, Abdellah El, et al.. (2022). 3D-QSAR, molecular docking and ADMET studies of thioquinazolinone derivatives against breast cancer. Journal of the Indian Chemical Society. 99(10). 100675–100675. 14 indexed citations
19.
Wojciechowski, Jakub, et al.. (2021). Synthesis, Crystal Structure, Vibrational Study and DFT Computation of Barium Dihydrogenomonophosphate Ba(H2PO4)2. Biointerface Research in Applied Chemistry. 12(1). 1120–1133. 7 indexed citations
20.
Belhassan, Assia, et al.. (2018). QSRR Study of Linear Retention Indices for Volatile Compounds using Statistical Methods. Chemical Science Transactions. 7(4). 1 indexed citations

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

Rankless by CCL
2026