Ossama Daouı

915 total citations
34 papers, 684 citations indexed

About

Ossama Daouı is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Ossama Daouı has authored 34 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 19 papers in Organic Chemistry and 11 papers in Molecular Biology. Recurrent topics in Ossama Daouı's work include Computational Drug Discovery Methods (24 papers), Synthesis and biological activity (17 papers) and Click Chemistry and Applications (5 papers). Ossama Daouı is often cited by papers focused on Computational Drug Discovery Methods (24 papers), Synthesis and biological activity (17 papers) and Click Chemistry and Applications (5 papers). Ossama Daouı collaborates with scholars based in Morocco, Algeria and India. Ossama Daouı's co-authors include Samir Chtita, Souad Elkhattabi, Oussama Abchır, Hassan Nour, Salah Belaıdı, Mohamed Bakhouch, Adil Touimi Benjelloun, Abdelkbir Errougui, Hsaine Zgou and Imane Yamari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Plant Physiology and Biochemistry.

In The Last Decade

Ossama Daouı

33 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ossama Daouı Morocco	16	336	333	209	96	51	34	684
Oussama Abchır Morocco	16	292 0.9×	335 1.0×	168 0.8×	107 1.1×	51 1.0×	45	642
Mebarka Ouassaf Algeria	13	264 0.8×	226 0.7×	159 0.8×	71 0.7×	42 0.8×	42	507
Sisir Nandi India	15	242 0.7×	228 0.7×	290 1.4×	52 0.5×	48 0.9×	98	829
Banoth Karan Kumar India	15	168 0.5×	458 1.4×	267 1.3×	78 0.8×	34 0.7×	45	814
Sajda Ashraf Pakistan	13	261 0.8×	272 0.8×	296 1.4×	49 0.5×	46 0.9×	52	801
Menana Elhallaoui Morocco	17	394 1.2×	340 1.0×	243 1.2×	81 0.8×	59 1.2×	40	727
Mohammed Aziz Ajana Morocco	14	222 0.7×	206 0.6×	112 0.5×	49 0.5×	45 0.9×	54	460
Rahul D. Jawarkar India	13	236 0.7×	281 0.8×	178 0.9×	61 0.6×	26 0.5×	75	568
Ismail Daoud Algeria	14	144 0.4×	265 0.8×	149 0.7×	74 0.8×	57 1.1×	43	550
Adnane Aouidate Morocco	15	401 1.2×	339 1.0×	264 1.3×	72 0.8×	26 0.5×	40	774

Countries citing papers authored by Ossama Daouı

Since Specialization

Citations

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

Fields of papers citing papers by Ossama Daouı

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ossama Daouı

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

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

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

Aissouq, Abdellah El, et al.. (2024). Design of new molecules against cervical cancer using DFT, theoretical spectroscopy, 2D/3D-QSAR, molecular docking, pharmacophore and ADMET investigations. Heliyon. 10(3). e24551–e24551. 9 indexed citations

Nour, Hassan, Ossama Daouı, Souad Elkhattabi, et al.. (2024). Computational Studies of Cannabis Derivatives as Potential Inhibitors of SARS-CoV-2 Mpro. Chemistry Africa. 7(5). 2569–2580. 6 indexed citations

Siddique, Farhan, Ossama Daouı, Souad Elkhattabi, et al.. (2024). Identification and in silico screening of natural phloroglucinols as potential PI3Kα inhibitors: A computational approach for drug discovery. Open Chemistry. 22(1). 6 indexed citations

Daouı, Ossama, et al.. (2024). Design of new small molecules derived from indolin-2-one as potent TRKs inhibitors using a computer-aided drug design approach. Journal of Biomolecular Structure and Dynamics. 43(9). 4370–4387. 4 indexed citations

Daouı, Ossama, et al.. (2024). Discovery of new small molecules inhibitors for EphB4 receptor tyrosine kinase with a fragment-based drug design approach. DergiPark (Istanbul University). 9(1). 75–89.

Daouı, Ossama, Souad Elkhattabi, Mohamed Bakhouch, et al.. (2023). Cyclohexane-1,3-dione Derivatives as Future Therapeutic Agents for NSCLC: QSAR Modeling, In Silico ADME-Tox Properties, and Structure-Based Drug Designing Approach. ACS Omega. 8(4). 4294–4319. 28 indexed citations

Daouı, Ossama, et al.. (2023). Repositioning Cannabinoids and Terpenes as Novel EGFR-TKIs Candidates for Targeted Therapy Against Cancer: A virtual screening model using CADD and biophysical simulations. Heliyon. 9(4). e15545–e15545. 18 indexed citations

10.

Abchır, Oussama, Ossama Daouı, Hassan Nour, et al.. (2023). Exploration of Cannabis constituents as potential candidates against diabetes mellitus disease using molecular docking, dynamics simulations and ADMET investigations. Scientific African. 21. e01745–e01745. 45 indexed citations

11.

Daouı, Ossama, et al.. (2023). Design of novel small molecules derived from styrylpyridine as potent HDAC1 inhibitors for the treatment of gastric cancer using 3D-QSAR, drug similarity, ADMET prediction, molecular docking, and molecular dynamics studies. Scientific African. 23. e01990–e01990. 5 indexed citations

12.

Daouı, Ossama, et al.. (2023). Evaluation of dimedone-derived compounds as inhibitors against human colon cancer: Insights from 2D-QSAR, ADMET prediction, Osiris, Molinspiration, and molecular modeling. Chinese Journal of Analytical Chemistry. 51(11). 100330–100330. 11 indexed citations

13.

Daouı, Ossama, Houda El Hajjouji, Souad Elkhattabi, et al.. (2023). Study of the competition between Pi and Cr (VI) for the use of Pi-transporter at Vicia faba L. using molecular modeling. Plant Physiology and Biochemistry. 196. 695–702. 12 indexed citations

14.

Abchır, Oussama, Ossama Daouı, Salah Belaıdı, et al.. (2022). Design of novel benzimidazole derivatives as potential α-amylase inhibitors using QSAR, pharmacokinetics, molecular docking, and molecular dynamics simulation studies. Journal of Molecular Modeling. 28(4). 106–106. 65 indexed citations

15.

Nour, Hassan, et al.. (2022). Combined computational approaches for developing new anti-Alzheimer drug candidates: 3D-QSAR, molecular docking and molecular dynamics studies of liquiritigenin derivatives. Heliyon. 8(12). e11991–e11991. 57 indexed citations

16.

Ouassaf, Mebarka, Ossama Daouı, Faizan Abul Qais, et al.. (2022). TARGETING THE MAIN PROTEASE AND THE SPIKE PROTEIN OF SARS-COV-2 WITH NATURALLY OCCURRING COMPOUNDS FROM SOME CAMEROONIAN MEDICINAL PLANTS: AN IN-SILICO STUDY FOR DRUG DESIGNING. Journal of the Chilean Chemical Society. 67(3). 5602–5614. 4 indexed citations

17.

Daouı, Ossama, Noureddine Mazoir, Mohamed Bakhouch, et al.. (2022). 3D-QSAR, ADME-Tox, and molecular docking of semisynthetic triterpene derivatives as antibacterial and insecticide agents. Structural Chemistry. 33(4). 1063–1084. 35 indexed citations

18.

Daouı, Ossama, Souad Elkhattabi, & Samir Chtita. (2022). Rational identification of small molecules derived from 9,10-dihydrophenanthrene as potential inhibitors of 3CLpro enzyme for COVID-19 therapy: a computer-aided drug design approach. Structural Chemistry. 33(5). 1667–1690. 30 indexed citations

19.

Chtita, Samir, Ossama Daouı, Souad Elkhattabi, et al.. (2022). QSAR and DFT Studies of Some Tacrine-Hydroxamate Derivatives asInhibitors of Cholinesterase (AChEs) in the Treatment of Alzheimer's Disease. Letters in Drug Design & Discovery. 20(6). 699–712. 4 indexed citations

20.

Daouı, Ossama, et al.. (2021). QSAR, molecular docking and ADMET properties in silico studies of novel 4,5,6,7-tetrahydrobenzo[D]-thiazol-2-Yl derivatives derived from dimedone as potent anti-tumor agents through inhibition of C-Met receptor tyrosine kinase. Heliyon. 7(7). e07463–e07463. 79 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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