Shafi Mahmud
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Computational Drug Discovery Methods 31
-
- Phytochemicals and Antioxidant Activities 9
- Co-authors
- Md. Abu SalehTalha Bin EmranGobindo Kumar PaulSuvro BiswasShahriar ZamanMst. Sharmin Sultana ShimuJesús Simal‐GándaraAnanta Swargiary
- Journals
- Molecules (11 papers)Journal of Biomolecular Structure and Dynamics (10 papers)Arabian Journal of Chemistry (6 papers)Evidence-based Complementary and Alternative Medicine (4 papers)Frontiers in Molecular Biosciences (4 papers)
- Partner nations
- BangladeshSaudi ArabiaAustralia
In The Last Decade
Shafi Mahmud
96 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computational Theory and Mathematics 660
- Infectious Diseases 513
- Toxicology 92
- Pharmacology 229
- Complementary and alternative medicine 196
Countries citing papers authored by Shafi Mahmud
This map shows the geographic impact of Shafi Mahmud'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 Shafi Mahmud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shafi Mahmud more than expected).
Fields of papers citing papers by Shafi Mahmud
This network shows the impact of papers produced by Shafi Mahmud. 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 Shafi Mahmud. The network helps show where Shafi Mahmud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shafi Mahmud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 65 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 46 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 30 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 68 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 39 | |
| 15 | 2021 | 55 | |
| 16 | 2021 | 48 | |
| 17 | 2021 | 19 | |
| 18 | 2021 | 9 | |
| 19 | 2020 | 7 | |
| 20 | 2019 | 91 |
About Shafi Mahmud
Shafi Mahmud is a scholar working on Computational Theory and Mathematics, Biochemistry, Toxicology, Pharmacology and Biotechnology, having authored 96 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (31 papers), Synthesis and biological activity (14 papers), vaccines and immunoinformatics approaches (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Phytochemicals and Antioxidant Activities (9 papers), Pharmacological Effects of Natural Compounds (7 papers), Essential Oils and Antimicrobial Activity (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Computational Theory and Mathematics (660 citations), Infectious Diseases (513 citations), Toxicology (92 citations), Pharmacology (229 citations) and Complementary and alternative medicine (196 citations). Shafi Mahmud has collaborated with scholars based in Bangladesh, Saudi Arabia and Australia. Frequent co-authors include Md. Abu Saleh, Talha Bin Emran, Gobindo Kumar Paul, Suvro Biswas, Shahriar Zaman, Mst. Sharmin Sultana Shimu, Jesús Simal‐Gándara, Ananta Swargiary, Mohammed Mahbubul Matin and Taïbi Ben Hadda. Their work appears in journals such as Molecules, Journal of Biomolecular Structure and Dynamics, Arabian Journal of Chemistry, Evidence-based Complementary and Alternative Medicine and Frontiers in Molecular Biosciences.
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.