Safa Daoud
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Drug Discovery top 10%
Papers in
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- Computational Drug Discovery Methods 10
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- Chemical Synthesis and Analysis 2
- Bioinformatics and Genomic Networks 2
- Co-authors
- Wamidh H. Talib (5 shared papers)Asma Ismail Mahmod (3 shared papers)Ahmad R. Alsayed (2 shared papers)Alaa Abuawad (1 shared paper)Mutasem O. Taha (14 shared papers)Izzeddin Alsalahat (1 shared paper)Lina A. Dahabiyeh (1 shared paper)Lina T. Al Kury (1 shared paper)
- Journals
- Molecular Informatics (3 papers)Molecules (3 papers)Acta Pharmaceutica (2 papers)Journal of Molecular Graphics and Modelling (2 papers)RSC Advances (1 paper)
- Partner nations
- JordanUnited KingdomPakistan
In The Last Decade
Safa Daoud
25 papers receiving 428 citations
Peers
Comparison fields: 5 of 101
- Endocrine and Autonomic Systems 90
- Drug Discovery 2
- Biological Psychiatry 9
- Toxicology 13
- Computational Theory and Mathematics 61
Countries citing papers authored by Safa Daoud
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
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-authors
The 23 scholars most cited alongside Safa Daoud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 151 | |
| 2 | 2020 | 89 | |
| 3 | 2022 | 48 | |
| 4 | 2020 | 27 | |
| 5 | 2022 | 22 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 5 | |
| 13 | Determination of Antimicrobial Drug Resistance among Bacterial Isolates in Two Hospitals of Baghdad | 2020 | 5 |
| 14 | 2025 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 4 | |
| 17 | Preparation, Physicochemical Characterization and Biological Evaluation of some Hesperidin Metal Complexes. | 2014 | 3 |
| 18 | 2022 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Safa Daoud
Safa Daoud is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Oncology and Infectious Diseases, having authored 26 papers that have together received 436 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Synthesis and biological activity (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Pneumonia and Respiratory Infections (2 papers), Chemical Synthesis and Analysis (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (90 citations), Drug Discovery (2 citations), Biological Psychiatry (9 citations), Toxicology (13 citations) and Computational Theory and Mathematics (61 citations). Safa Daoud has collaborated with scholars based in Jordan, United Kingdom and Pakistan. Frequent co-authors include Wamidh H. Talib, Asma Ismail Mahmod, Ahmad R. Alsayed, Alaa Abuawad, Mutasem O. Taha, Izzeddin Alsalahat, Lina A. Dahabiyeh, Lina T. Al Kury, Ma’mon M. Hatmal and Mohammed Al Maqbali. Their work appears in journals such as Molecular Informatics, Molecules, Acta Pharmaceutica, Journal of Molecular Graphics and Modelling and RSC Advances.
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.