Mohnad Abdalla
Impact in
-
- Computational Drug Discovery Methods
- Molecular Medicine top 10%
Papers in
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- Computational Drug Discovery Methods 35
- Co-authors
- Amr Ahmed El‐Arabey (27 shared papers)Wafa Ali Eltayb (26 shared papers)Amgad M. Rabie (5 shared papers)Mohamed Sharaf (12 shared papers)Mithun Rudrapal (3 shared papers)Adel R. A. Abd‐Allah (4 shared papers)Xinyi Jiang (6 shared papers)Samah Shabana (4 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (13 papers)Molecules (7 papers)Journal of Saudi Chemical Society (6 papers)Scientific Reports (5 papers)Journal of King Saud University - Science (3 papers)
- Partner nations
- ChinaSaudi ArabiaEgypt
In The Last Decade
Mohnad Abdalla
137 papers receiving 2.0k citations
Mohnad Abdalla's Hit Papers
Peers
Comparison fields: 5 of 132
- Computational Theory and Mathematics 352
- Molecular Medicine 63
- Biochemistry 75
- Complementary and alternative medicine 97
- Pharmacology 102
Countries citing papers authored by Mohnad Abdalla
This map shows the geographic impact of Mohnad Abdalla'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 Mohnad Abdalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohnad Abdalla more than expected).
Fields of papers citing papers by Mohnad Abdalla
This network shows the impact of papers produced by Mohnad Abdalla. 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 Mohnad Abdalla. The network helps show where Mohnad Abdalla may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohnad Abdalla, 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dual synergistic inhibition of COX and LOX by potential chemicals from Indian daily spices investigated through detailed computational studies Hit paper breakdown → | 2023 | 106 |
| 2 | 2020 | 96 | |
| 3 | 2021 | 59 | |
| 4 | 2023 | 54 | |
| 5 | 2021 | 53 | |
| 6 | 2020 | 51 | |
| 7 | 2021 | 51 | |
| 8 | 2023 | 51 | |
| 9 | 2022 | 47 | |
| 10 | 2021 | 47 | |
| 11 | 2022 | 41 | |
| 12 | 2022 | 38 | |
| 13 | 2021 | 37 | |
| 14 | 2023 | 33 | |
| 15 | 2021 | 32 | |
| 16 | 2022 | 31 | |
| 17 | 2022 | 30 | |
| 18 | 2021 | 30 | |
| 19 | 2023 | 30 | |
| 20 | 2022 | 28 |
About Mohnad Abdalla
Mohnad Abdalla is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Infectious Diseases and Plant Science, having authored 147 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Synthesis and biological activity (17 papers), SARS-CoV-2 and COVID-19 Research (14 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Synthesis and Characterization of Heterocyclic Compounds (7 papers), Essential Oils and Antimicrobial Activity (7 papers), Natural Antidiabetic Agents Studies (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (352 citations), Molecular Medicine (63 citations), Biochemistry (75 citations), Complementary and alternative medicine (97 citations) and Pharmacology (102 citations). Mohnad Abdalla has collaborated with scholars based in China, Saudi Arabia and Egypt. Frequent co-authors include Amr Ahmed El‐Arabey, Wafa Ali Eltayb, Amgad M. Rabie, Mohamed Sharaf, Mithun Rudrapal, Adel R. A. Abd‐Allah, Xinyi Jiang, Samah Shabana, Saud I. Al‐Resayes and Mohammad Azam. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Molecules, Journal of Saudi Chemical Society, Scientific Reports and Journal of King Saud University - Science.
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.