Kamal Tabti

410 total citations
25 papers, 307 citations indexed

About

Kamal Tabti is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Kamal Tabti has authored 25 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 17 papers in Organic Chemistry and 7 papers in Molecular Biology. Recurrent topics in Kamal Tabti's work include Computational Drug Discovery Methods (20 papers), Synthesis and biological activity (12 papers) and Click Chemistry and Applications (4 papers). Kamal Tabti is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Synthesis and biological activity (12 papers) and Click Chemistry and Applications (4 papers). Kamal Tabti collaborates with scholars based in Morocco, Portugal and Jordan. Kamal Tabti's co-authors include Tahar Lakhlifi, Mohammed Bouachrıne, Hamid Maghat, Abdelouahid Sbai, Soukayna Baammi, Arabinda Ghosh, Mohammed Aziz Ajana, Marwa Alaqarbeh, Iqrar Ahmad and Muhammad Tukur Ibrahim and has published in prestigious journals such as Computers in Biology and Medicine, Arabian Journal of Chemistry and Journal of Molecular Structure.

In The Last Decade

Kamal Tabti

25 papers receiving 305 citations

Peers

Kamal Tabti

CTM

TOXIC

ONCOL

Abdul-Quddus Kehinde Oyedele Nigeria

Mukhtar Oluwaseun Idris China

Reda El-Mernissi Morocco

Abdeen Tunde Ogunlana Nigeria

Supriyo Saha India

Ravi Rawat India

Abdul Rashid Issahaku South Africa

Aravinda Pai India

Mubashir Aziz Pakistan

Hanine Hadni Morocco

Abdul-Quddus Kehinde Oyedele Nigeria

Kamal Tabti

168 ×1.0

CTM

101 ×0.7

200 ×1.8

17 ×0.5

TOXIC

42 ×1.5

ONCOL

Citations per year, relative to Kamal Tabti Kamal Tabti (= 1×) peers Abdul-Quddus Kehinde Oyedele

Countries citing papers authored by Kamal Tabti

Since Specialization

Citations

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

Fields of papers citing papers by Kamal Tabti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Tabti

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

All Works

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20 of 20 papers shown

Tabti, Kamal, et al.. (2025). Exploring the anti-tumor mechanisms of thiourea-derived CXCR2 antagonists: a computational perspective. Discover Chemistry.. 2(1). 1 indexed citations

Alaqarbeh, Marwa, et al.. (2024). Quality Control of Coumarins, Furocoumarins and Polymethoxyflavones in Citrus Essential Oils: In Silico Analysis. ChemistrySelect. 9(5). 7 indexed citations

Tabti, Kamal, et al.. (2024). A computational exploration of the antioxidant potential of conjugated quinazolinone Schiff bases. Chemistry of Heterocyclic Compounds. 60(11-12). 627–638. 4 indexed citations

Ibrahim, Muhammad Tukur, et al.. (2024). Discovery of new 2,4-diaminopyrimidines derivatives as EGFRT790M kinase inhibitors: a structure-based approach with DFT calculation, drug-likeness, ADME-toxicity properties evaluation and MD simulation. Journal of Umm Al-Qura University for Applied Sciences. 10(2). 257–273. 10 indexed citations

Kandwal, Pankaj, Marwa Alaqarbeh, Kamal Tabti, et al.. (2024). Exploring azomethine ylides reactivity with acrolein through cycloaddition reaction and computational antiviral activity assessment against hepatitis C virus. Journal of Molecular Modeling. 30(1). 23–23. 4 indexed citations

Uzairu, Adamu, et al.. (2024). In-silico exploration and structure-based design of Praziquantel derivatives as potential inhibitors of schistosoma mansoni Glutathione S-transferase (SmGST). Scientific African. 24. e02169–e02169. 5 indexed citations

Tabti, Kamal, et al.. (2024). Computational evaluation of 1,2,3-triazole-based VEGFR-2 inhibitors: anti-angiogenesis potential and pharmacokinetic assessment. Journal of Biomolecular Structure and Dynamics. 43(5). 2549–2559. 9 indexed citations

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

Tabti, Kamal, et al.. (2023). Molecular toxicity of nitrobenzene derivatives to tetrahymena pyriformis based on SMILES descriptors using Monte Carlo, docking, and MD simulations. Computers in Biology and Medicine. 169. 107880–107880. 13 indexed citations

10.

Tabti, Kamal, et al.. (2023). Computational assessment of the reactivity and pharmaceutical potential of novel triazole derivatives: An approach combining DFT calculations, molecular dynamics simulations, and molecular docking. Arabian Journal of Chemistry. 17(1). 105376–105376. 18 indexed citations

11.

Tabti, Kamal, et al.. (2023). Structure-odor relationship in pyrazines and derivatives: A physicochemical study using 3D-QSPR, HQSPR, Monte Carlo, molecular docking, ADME-Tox and molecular dynamics. Arabian Journal of Chemistry. 16(11). 105207–105207. 19 indexed citations

12.

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

13.

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

14.

Tabti, Kamal, et al.. (2023). Computational Studies for Development of Triazole‐Pyrimidines as Inhibitor of α‐Tubulin Receptor. ChemistrySelect. 8(46). 6 indexed citations

15.

Tabti, Kamal, et al.. (2023). Computational Exploration of the Structural Requirements of Triazole Derivatives as Colchicine Binding Site Inhibitors. ChemistrySelect. 8(26). 4 indexed citations

16.

Tabti, Kamal, Soukayna Baammi, Abdelouahid Sbai, et al.. (2022). Computational investigation of pyrrolidin derivatives as novel GPX4/MDM2–p53 inhibitors using 2D/3D-QSAR, ADME/toxicity, molecular docking, molecular dynamics simulations, and MM-GBSA free energy. Structural Chemistry. 33(4). 1019–1039. 21 indexed citations

17.

Tabti, Kamal, Reda El-Mernissi, Abdellah El Aissouq, et al.. (2022). 3D-QSAR study, docking molecular and simulation dynamic on series of benzimidazole derivatives as anti-cancer agents. Journal of the Indian Chemical Society. 99(9). 100582–100582. 23 indexed citations

18.

Tabti, Kamal, et al.. (2022). Molecular modelling of antiproliferative inhibitors based on SMILES descriptors using Monte-Carlo method, docking, MD simulations and ADME/Tox studies. Molecular Simulation. 48(17). 1575–1591. 20 indexed citations

19.

Tabti, Kamal, et al.. (2021). In Silico Investigation on the Beneficial Effects of Medicinal Plants on Diabetes and Obesity: Molecular Docking, Molecular Dynamic Simulations, and ADMET Studies. Biointerface Research in Applied Chemistry. 12(5). 6933–6949. 9 indexed citations

20.

Tabti, Kamal, Abdelouahid Sbai, Hamid Maghat, et al.. (2021). In silico design of novel PIN1 inhibitors by combined of 3D-QSAR, molecular docking, molecular dynamic simulation and ADMET studies. Journal of Molecular Structure. 1253. 132291–132291. 43 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.

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