Adnane Aouidate

1.0k total citations
40 papers, 774 citations indexed

About

Adnane Aouidate is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Adnane Aouidate has authored 40 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Theory and Mathematics, 24 papers in Organic Chemistry and 9 papers in Molecular Biology. Recurrent topics in Adnane Aouidate's work include Computational Drug Discovery Methods (30 papers), Synthesis and biological activity (21 papers) and Cancer Mechanisms and Therapy (4 papers). Adnane Aouidate is often cited by papers focused on Computational Drug Discovery Methods (30 papers), Synthesis and biological activity (21 papers) and Cancer Mechanisms and Therapy (4 papers). Adnane Aouidate collaborates with scholars based in Morocco, Portugal and United Kingdom. Adnane Aouidate's co-authors include Tahar Lakhlifi, Mohammed Bouachrıne, Adib Ghaleb, Samir Chtita, Wenqiang Cui, Shuguang Yuan, Qiuliyang Yu, Yan-Hua Li, Shouguo Wang and M’barek Choukrad and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Molecules.

In The Last Decade

Adnane Aouidate

37 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adnane Aouidate Morocco 15 401 339 264 85 72 40 774
Mohamed Bakhouch Morocco 19 283 0.7× 497 1.5× 204 0.8× 200 2.4× 102 1.4× 64 907
Sanjiv Kumar India 19 150 0.4× 857 2.5× 284 1.1× 68 0.8× 74 1.0× 35 1.2k
Ram Kishore Agrawal India 12 187 0.5× 861 2.5× 306 1.2× 41 0.5× 63 0.9× 32 1.1k
Adib Ghaleb Morocco 13 152 0.4× 210 0.6× 107 0.4× 87 1.0× 29 0.4× 32 464
Ahmed A. El‐Rashedy Egypt 17 96 0.2× 380 1.1× 253 1.0× 78 0.9× 66 0.9× 95 872
Yunlong Song China 19 161 0.4× 467 1.4× 469 1.8× 58 0.7× 173 2.4× 43 1.2k
Hemchandra K. Chaudhari India 16 171 0.4× 550 1.6× 193 0.7× 47 0.6× 48 0.7× 39 816
Mohammed Afzal Azam India 14 115 0.3× 268 0.8× 288 1.1× 46 0.5× 71 1.0× 59 634
Bharath Srinivasan United States 20 172 0.4× 336 1.0× 414 1.6× 94 1.1× 85 1.2× 51 923
Arlan da Silva Gonçalves Brazil 17 162 0.4× 199 0.6× 189 0.7× 86 1.0× 203 2.8× 57 702

Countries citing papers authored by Adnane Aouidate

Since Specialization
Citations

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

Fields of papers citing papers by Adnane Aouidate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnane Aouidate

This figure shows the co-authorship network connecting the top 25 collaborators of Adnane Aouidate. A scholar is included among the top collaborators of Adnane Aouidate 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 Adnane Aouidate. Adnane Aouidate 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.
Ghaleb, Adib, Adnane Aouidate, Mohammed Aarjane, & Hafid Anane. (2025). Supervised machine learning and molecular docking modeling to identify potential Anti-Parkinson's agents. Journal of Molecular Graphics and Modelling. 139. 109073–109073.
2.
Aouidate, Adnane, et al.. (2025). A million shades of green: understanding and harnessing plant metabolic diversity. The EMBO Journal. 44(16). 4409–4418.
3.
Tammam, Mohamed A., Mariam I. Gamal El‐Din, Adnane Aouidate, & Amr El‐Demerdash. (2024). Cephalostatins and ritterazines: Distinctive dimeric marine-derived steroidal pyrazine alkaloids with intriguing anticancer activities. Bioorganic Chemistry. 151. 107654–107654. 1 indexed citations
4.
Elfiky, Abdo A., Florbela Pereira, Mariam I. Gamal El‐Din, et al.. (2024). Investigating the Structure–Activity Relationship of Laulimalides Marine Macrolides as Promising Inhibitors for SARS-CoV-2 Main Protease (Mpro). Journal of Computational Biophysics and Chemistry. 24(4). 403–419.
5.
Aouidate, Adnane. (2024). Exploring the chemical space of BRAF Inhibitors: A cheminformatic and Machine learning analysis. Journal of Molecular Liquids. 401. 124705–124705. 3 indexed citations
6.
Cacciatore, Ivana, Radwan Alnajjar, Hanine Hadni, et al.. (2024). Revealing innovative JAK1 and JAK3 inhibitors: a comprehensive study utilizing QSAR, 3D-Pharmacophore screening, molecular docking, molecular dynamics, and MM/GBSA analyses. Frontiers in Molecular Biosciences. 11. 1348277–1348277. 9 indexed citations
7.
8.
Chtita, Samir, Assia Belhassan, Mohamed Bakhouch, et al.. (2021). QSAR study of unsymmetrical aromatic disulfides as potent avian SARS-CoV main protease inhibitors using quantum chemical descriptors and statistical methods. Chemometrics and Intelligent Laboratory Systems. 210. 104266–104266. 55 indexed citations
9.
Cui, Wenqiang, Adnane Aouidate, Shouguo Wang, et al.. (2020). Discovering Anti-Cancer Drugs via Computational Methods. Frontiers in Pharmacology. 11. 733–733. 194 indexed citations
10.
Aarjane, Mohammed, Adnane Aouidate, Siham Slassi, & Amina Amine. (2020). Synthesis, antibacterial evaluation, in silico ADMET and molecular docking studies of new N-acylhydrazone derivatives from acridone. Arabian Journal of Chemistry. 13(7). 6236–6245. 23 indexed citations
11.
Ghaleb, Adib, et al.. (2019). In Silico Exploration of Aryl Halides Analogues as CheckpointKinase 1 Inhibitors by Using 3D QSAR, Molecular Docking Study,and ADMET Screening. Advanced Pharmaceutical Bulletin. 9(1). 84–92. 22 indexed citations
12.
Chtita, Samir, Mounir Ghamali, Adnane Aouidate, et al.. (2019). QSAR study of anti-Human African Trypanosomiasis activity for 2-phenylimidazopyridines derivatives using DFT and Lipinski's descriptors. Heliyon. 5(3). e01304–e01304. 35 indexed citations
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Aouidate, Adnane, Adib Ghaleb, Mounir Ghamali, et al.. (2018). Computer aided drug design based on 3D-QSAR and molecular docking studies of 5-(1H-indol-5-yl)-1,3,4-thiadiazol-2-amine derivatives as PIM2 inhibitors: a proposal to chemists. In Silico Pharmacology. 6(1). 5–5. 11 indexed citations
16.
Aouidate, Adnane, Adib Ghaleb, Mounir Ghamali, et al.. (2018). 3D QSAR studies, molecular docking and ADMET evaluation, using thiazolidine derivatives as template to obtain new inhibitors of PIM1 kinase. Computational Biology and Chemistry. 74. 201–211. 19 indexed citations
17.
Aouidate, Adnane, Adib Ghaleb, Mounir Ghamali, et al.. (2018). QSAR study and rustic ligand-based virtual screening in a search for aminooxadiazole derivatives as PIM1 inhibitors. Chemistry Central Journal. 12(1). 32–32. 8 indexed citations
18.
Aouidate, Adnane, Adib Ghaleb, Mounir Ghamali, et al.. (2018). Molecular Docking and 3D-QSAR Studies on 7-azaindole Derivatives as Inhibitors of Trk A: A Strategic Design in Novel Anticancer Agents. Letters in Drug Design & Discovery. 15(11). 1211–1223. 5 indexed citations
19.
Aouidate, Adnane, Adib Ghaleb, Mounir Ghamali, et al.. (2017). QSAR studies on PIM1 and PIM2 inhibitors using statistical methods: a rustic strategy to screen for 5-(1H-indol-5-yl)-1,3,4-thiadiazol analogues and predict their PIM inhibitory activity. Chemistry Central Journal. 11(1). 41–41. 3 indexed citations
20.
Ghamali, Mounir, Samir Chtita, Adnane Aouidate, et al.. (2016). Combining DFT and QSAR computation to predict the interaction of flavonoids with the GABA (A) receptor using electronic and topological descriptors. SHILAP Revista de lepidopterología. 11(3). 422–433. 5 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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