Safa Daoud

560 total citations
24 papers, 396 citations indexed

About

Safa Daoud is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Safa Daoud has authored 24 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Organic Chemistry. Recurrent topics in Safa Daoud's work include Computational Drug Discovery Methods (10 papers), Synthesis and biological activity (5 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Safa Daoud is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Synthesis and biological activity (5 papers) and Bioactive Compounds and Antitumor Agents (2 papers). Safa Daoud collaborates with scholars based in Jordan, Iraq and United Kingdom. Safa Daoud's co-authors include Wamidh H. Talib, Asma Ismail Mahmod, Ahmad R. Alsayed, Mutasem O. Taha, Izzeddin Alsalahat, Lina A. Dahabiyeh, Lina T. Al Kury, Mohammed Al Maqbali, Ma’mon M. Hatmal and Mahmoud A. Al-Sha’er and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.

In The Last Decade

Safa Daoud

22 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Safa Daoud Jordan 8 157 83 55 50 48 24 396
V. Parthasarathy India 10 127 0.8× 22 0.3× 22 0.4× 21 0.4× 32 0.7× 44 390
Abhishek Gour India 12 98 0.6× 18 0.2× 25 0.5× 46 0.9× 61 1.3× 32 348
Swamy Jagadish India 12 197 1.3× 32 0.4× 22 0.4× 216 4.3× 60 1.3× 19 493
Guru R. Valicherla India 19 220 1.4× 16 0.2× 20 0.4× 50 1.0× 83 1.7× 32 662
Paola Caria Italy 15 182 1.2× 12 0.1× 50 0.9× 84 1.7× 75 1.6× 44 604
Giuseppe Carbonara Italy 17 397 2.5× 24 0.3× 37 0.7× 105 2.1× 45 0.9× 36 661
Athar Husain India 16 364 2.3× 20 0.2× 16 0.3× 36 0.7× 58 1.2× 37 750
Tomoko Asakawa Japan 14 385 2.5× 23 0.3× 28 0.5× 126 2.5× 303 6.3× 17 885
Li‐Qiang Sun United States 16 320 2.0× 57 0.7× 45 0.8× 413 8.3× 36 0.8× 40 873
Wesley R. Anderson United States 16 153 1.0× 13 0.2× 25 0.5× 44 0.9× 100 2.1× 38 535

Countries citing papers authored by Safa Daoud

Since Specialization
Citations

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

Fields of papers citing papers by Safa Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Safa Daoud

This figure shows the co-authorship network connecting the top 25 collaborators of Safa Daoud. A scholar is included among the top collaborators of Safa Daoud 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 Safa Daoud. Safa Daoud 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.
Daoud, Safa, et al.. (2025). Discovery of New HER2 Inhibitors via Computational Docking, Pharmacophore Modeling, and Machine Learning. Molecular Informatics. 44(2). e202400336–e202400336. 1 indexed citations
3.
Daoud, Safa, et al.. (2024). Ligand-based pharmacophore modeling and machine learning for the discovery of potent aurora A kinase inhibitory leads of novel chemotypes. Molecular Diversity. 28(6). 4241–4257. 3 indexed citations
4.
Daoud, Safa & Mutasem O. Taha. (2024). Protein characteristics substantially influence the propensity of activity cliffs among kinase inhibitors. Scientific Reports. 14(1). 9058–9058. 2 indexed citations
6.
Daoud, Safa, et al.. (2023). Discovery of potent maternal embryonic leucine zipper kinase (MELK) inhibitors of novel chemotypes using structure-based pharmacophores. Medicinal Chemistry Research. 32(12). 2574–2586. 1 indexed citations
11.
Alsayed, Ahmad R., et al.. (2022). The first detection of Pneumocystis jirovecii in asthmatic patients post-COVID-19 in Jordan. SHILAP Revista de lepidopterología. 22(5). 784–790. 22 indexed citations
12.
Barakat, Muna, et al.. (2022). Assessing health-related behaviors among Jordanian children during COVID-19 pandemic: A cross-sectional study. Pharmacy Practice. 20(2). 1–10. 2 indexed citations
13.
Talib, Wamidh H., et al.. (2022). Plants as a Source of Anticancer Agents: From Bench to Bedside. Molecules. 27(15). 4818–4818. 43 indexed citations
15.
Talib, Wamidh H., et al.. (2021). Melatonin in Cancer Treatment: Current Knowledge and Future Opportunities. Molecules. 26(9). 2506–2506. 139 indexed citations
16.
Daoud, Safa & Mutasem O. Taha. (2020). Design and Synthesis of New JAK1 Inhibitors based on Sulfonamide-Triazine Conjugates. Current Computer - Aided Drug Design. 17(7). 916–926. 4 indexed citations
17.
Altaif‎, K. I., et al.. (2020). Determination of Antimicrobial Drug Resistance among Bacterial Isolates in Two Hospitals of Baghdad. Jordan Journal of Pharmaceutical Sciences. 13(1). 4 indexed citations
18.
Daoud, Safa & Mutasem O. Taha. (2020). Pharmacophore modeling of JAK1: A target infested with activity-cliffs. Journal of Molecular Graphics and Modelling. 99. 107615–107615. 14 indexed citations
19.
Talib, Wamidh H., et al.. (2020). Plant-Derived Natural Products in Cancer Research: Extraction, Mechanism of Action, and Drug Formulation. Molecules. 25(22). 5319–5319. 82 indexed citations
20.
Daoud, Safa, Fatma U. Afifi, Amal G. Al‐Bakri, Violet Kasabri, & Imad I. Hamdan. (2014). Preparation, Physicochemical Characterization and Biological Evaluation of some Hesperidin Metal Complexes.. PubMed. 13(3). 909–18. 3 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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