Menana Elhallaoui

950 total citations
40 papers, 727 citations indexed

About

Menana Elhallaoui is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Menana Elhallaoui has authored 40 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Theory and Mathematics, 19 papers in Organic Chemistry and 13 papers in Molecular Biology. Recurrent topics in Menana Elhallaoui's work include Computational Drug Discovery Methods (34 papers), Synthesis and biological activity (18 papers) and Cytokine Signaling Pathways and Interactions (8 papers). Menana Elhallaoui is often cited by papers focused on Computational Drug Discovery Methods (34 papers), Synthesis and biological activity (18 papers) and Cytokine Signaling Pathways and Interactions (8 papers). Menana Elhallaoui collaborates with scholars based in Morocco, Saudi Arabia and Palestinian Territory. Menana Elhallaoui's co-authors include Hanine Hadni, Mohammed Er-rajy, Mohamed El fadili, Sara Zarougui, Hamada Imtara, Somdutt Mujwar, Mohammed Kara, Omkulthom Al kamaly, Mohamed Bakhouch and Amine Assouguem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Menana Elhallaoui

40 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Menana Elhallaoui Morocco	17	394	340	243	81	76	40	727
Muhammad Khattab Egypt	14	188 0.5×	335 1.0×	281 1.2×	53 0.7×	82 1.1×	28	878
Sajda Ashraf Pakistan	13	261 0.7×	272 0.8×	296 1.2×	49 0.6×	76 1.0×	52	801
Khac‐Minh Thai Vietnam	19	319 0.8×	371 1.1×	398 1.6×	206 2.5×	116 1.5×	60	1.0k
Alaa H. M. Abdelrahman Egypt	16	384 1.0×	157 0.5×	225 0.9×	44 0.5×	80 1.1×	33	713
Sarfaraz Alam India	18	222 0.6×	453 1.3×	384 1.6×	96 1.2×	96 1.3×	40	1.0k
D.S. Druzhilovskiy Russia	14	298 0.8×	247 0.7×	368 1.5×	134 1.7×	41 0.5×	31	777
Omar M. Aly Egypt	18	162 0.4×	442 1.3×	306 1.3×	71 0.9×	63 0.8×	50	902
Mebarka Ouassaf Algeria	13	264 0.7×	226 0.7×	159 0.7×	71 0.9×	48 0.6×	42	507
Ismail Daoud Algeria	14	144 0.4×	265 0.8×	149 0.6×	74 0.9×	81 1.1×	43	550
Arun Bahadur Gurung India	15	293 0.7×	145 0.4×	293 1.2×	84 1.0×	68 0.9×	46	749

Countries citing papers authored by Menana Elhallaoui

Since Specialization

Citations

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

Fields of papers citing papers by Menana Elhallaoui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menana Elhallaoui

This figure shows the co-authorship network connecting the top 25 collaborators of Menana Elhallaoui. A scholar is included among the top collaborators of Menana Elhallaoui 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 Menana Elhallaoui. Menana Elhallaoui 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

Er-rajy, Mohammed, Mohamed El fadili, Radwan Alnajjar, et al.. (2025). An in-depth study of indolone derivatives as potential lung cancer treatment. Scientific Reports. 15(1). 2199–2199. 1 indexed citations

Er-rajy, Mohammed, R. Salghi, Menana Elhallaoui, et al.. (2025). Exploring donor-acceptor characteristics and adsorption behavior of a naphthamide-based inhibitor for protective surfaces through a molecular modeling approach. Journal of the Indian Chemical Society. 102(4). 101640–101640. 4 indexed citations

Er-rajy, Mohammed, Mohamed El fadili, Sara Zarougui, et al.. (2025). Design and evaluation of novel triazole derivatives as potential anti-gout inhibitors: a comprehensive molecular modeling study. Frontiers in Chemistry. 13. 1518777–1518777. 4 indexed citations

fadili, Mohamed El, Mohammed Er-rajy, Somdutt Mujwar, et al.. (2024). In silico insights into the design of novel NR2B-selective NMDA receptor antagonists: QSAR modeling, ADME-toxicity predictions, molecular docking, and molecular dynamics investigations. BMC Chemistry. 18(1). 142–142. 14 indexed citations

Zarougui, Sara, Mohammed Er-rajy, Hamada Imtara, et al.. (2024). 3D computer modeling of inhibitors targeting the MCF-7 breast cancer cell line. Frontiers in Chemistry. 12. 1384832–1384832. 5 indexed citations

Er-rajy, Mohammed, Mohamed El fadili, Hamada Imtara, et al.. (2023). 3D-QSAR Studies, Molecular Docking, Molecular Dynamic Simulation, and ADMET Proprieties of Novel Pteridinone Derivatives as PLK1 Inhibitors for the Treatment of Prostate Cancer. Life. 13(1). 127–127. 22 indexed citations

Alnajjar, Radwan, et al.. (2023). Computational 3D Modeling-Based Identification of Inhibitors Targeting Cysteine Covalent Bond Catalysts for JAK3 and CYP3A4 Enzymes in the Treatment of Rheumatoid Arthritis. Molecules. 29(1). 23–23. 5 indexed citations

Er-rajy, Mohammed, Mohamed El fadili, Somdutt Mujwar, Sara Zarougui, & Menana Elhallaoui. (2023). Design of novel anti-cancer drugs targeting TRKs inhibitors based 3D QSAR, molecular docking and molecular dynamics simulation. Journal of Biomolecular Structure and Dynamics. 41(21). 11657–11670. 40 indexed citations

Er-rajy, Mohammed, et al.. (2023). Design of potential anti-cancer agents as COX-2 inhibitors, using 3D-QSAR modeling, molecular docking, oral bioavailability proprieties, and molecular dynamics simulation. Anti-Cancer Drugs. 35(2). 117–128. 9 indexed citations

10.

Ibrahim, Ibrahim M., Radwan Alnajjar, Hanine Hadni, et al.. (2023). QSAR-driven screening uncovers and designs novel pyrimidine-4,6-diamine derivatives as potent JAK3 inhibitors. Journal of Biomolecular Structure and Dynamics. 43(2). 757–786. 11 indexed citations

11.

Ibrahim, Ibrahim M., et al.. (2023). Computer-Aided Drug Design of Novel Derivatives of 2-Amino-7,9-dihydro-8H-purin-8-one as Potent Pan-Janus JAK3 Inhibitors. Molecules. 28(15). 5914–5914. 7 indexed citations

12.

Hadni, Hanine, et al.. (2023). In silico discovery of potent and selective Janus kinase 3 (JAK3) inhibitors through 3D-QSAR, covalent docking, ADMET analysis, molecular dynamics simulations, and binding free energy of pyrazolopyrimidine derivatives. Journal of Biomolecular Structure and Dynamics. 42(9). 4817–4833. 7 indexed citations

13.

Ibrahim, Ibrahim M., et al.. (2023). High-throughput virtual screening of phenylpyrimidine derivatives as selective JAK3 antagonists using computational methods. Journal of Biomolecular Structure and Dynamics. 42(14). 7574–7599. 5 indexed citations

14.

Er-rajy, Mohammed, et al.. (2022). QSAR, molecular docking, ADMET properties in silico studies for a series of 7-propanamide benzoxaboroles as potent anti-cancer agents. Chinese Journal of Analytical Chemistry. 50(12). 100163–100163. 22 indexed citations

15.

Er-rajy, Mohammed, et al.. (2022). 2D-QSAR modeling, drug-likeness studies, ADMET prediction, and molecular docking for anti-lung cancer activity of 3-substituted-5-(phenylamino) indolone derivatives. Structural Chemistry. 33(3). 973–986. 40 indexed citations

16.

Mrabti, Hanae Naceiri, Latifa Doudach, Ryan A. Sheikh, et al.. (2022). Mineral contents, antimicrobial profile, acute and chronic toxicity of the aqueous extract of Moroccan Thymus vulgaris in rodents. International Journal of Secondary Metabolite. 9(4). 397–414. 2 indexed citations

17.

Mrabti, Hanae Naceiri, Mohammed Er-rajy, Latifa Doudach, et al.. (2022). Molecular Docking and QSAR Studies for Modeling the Inhibitory Activity of Pyrazole-benzimidazolone Hybrids as Novel Inhibitors of Human 4-hydroxyphenylpyruvate dioxygenase Against Type I Tyrosinemia Disease. Biointerface Research in Applied Chemistry. 13(1). 38–38. 2 indexed citations

18.

fadili, Mohamed El, Mohammed Er-rajy, Mohammed Kara, et al.. (2022). QSAR, ADMET In Silico Pharmacokinetics, Molecular Docking and Molecular Dynamics Studies of Novel Bicyclo (Aryl Methyl) Benzamides as Potent GlyT1 Inhibitors for the Treatment of Schizophrenia. Pharmaceuticals. 15(6). 670–670. 51 indexed citations

19.

Hadni, Hanine, et al.. (2019). QSAR studies combined with DFT-calculations and Molecular docking of polyamine-sensitive inhibitors of the NMDA receptor. Mediterranean Journal of Chemistry. 9(3). 164–174. 3 indexed citations

20.

Elhallaoui, Menana, Mohamed O. Elasri, Fouad Ouazzani, Abdellah Mechaqrane, & Tahar Lakhlifi. (2003). Quantitative Structure-Activity Relationships of Noncompetitive Antagonists of the NMDA Receptor: A Study of a Series of MK801 Derivative Molecules Using Statistical Methods and Neural Network. International Journal of Molecular Sciences. 4(5). 249–262. 8 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