Rahat Alam
Impact in
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- Computational Drug Discovery Methods
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Epigenetics and DNA Methylation 4
- vaccines and immunoinformatics approaches 3
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- Computational Drug Discovery Methods 7
- Co-authors
- Foysal Ahammad (16 shared papers)Abdus Samad (16 shared papers)Raihan Rahman Imon (8 shared papers)Tomasz M. Karpiński (8 shared papers)Zulkar Nain (4 shared papers)Md. Shahedur Rahman (2 shared papers)Marcin Ożarowski (4 shared papers)Ishtiaq Qadri (4 shared papers)
- Journals
- Heliyon (3 papers)RSC Advances (2 papers)Molecules (2 papers)Journal of Molecular Medicine (1 paper)Pharmaceuticals (1 paper)
- Partner nations
- BangladeshSaudi ArabiaPoland
In The Last Decade
Rahat Alam
25 papers receiving 713 citations
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 152
- Infectious Diseases 110
- Drug Discovery 1
- Molecular Biology 337
- Complementary and alternative medicine 37
Countries citing papers authored by Rahat Alam
This map shows the geographic impact of Rahat Alam'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 Rahat Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahat Alam more than expected).
Fields of papers citing papers by Rahat Alam
This network shows the impact of papers produced by Rahat Alam. 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 Rahat Alam. The network helps show where Rahat Alam may publish in the future.
Co-authors
The 25 scholars most cited alongside Rahat Alam, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2021 | 101 | |
| 3 | 2021 | 64 | |
| 4 | 2021 | 52 | |
| 5 | 2021 | 44 | |
| 6 | 2020 | 35 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 33 | |
| 9 | 2022 | 32 | |
| 10 | 2022 | 31 | |
| 11 | 2020 | 22 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2023 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2021 | 9 |
About Rahat Alam
Rahat Alam is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Plant Science and Infectious Diseases, having authored 25 papers that have together received 724 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Epigenetics and DNA Methylation (4 papers), Essential Oils and Antimicrobial Activity (3 papers), vaccines and immunoinformatics approaches (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Polyomavirus and related diseases (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (152 citations), Infectious Diseases (110 citations), Drug Discovery (1 citation), Molecular Biology (337 citations) and Complementary and alternative medicine (37 citations). Rahat Alam has collaborated with scholars based in Bangladesh, Saudi Arabia and Poland. Frequent co-authors include Foysal Ahammad, Abdus Samad, Raihan Rahman Imon, Tomasz M. Karpiński, Zulkar Nain, Md. Shahedur Rahman, Marcin Ożarowski, Ishtiaq Qadri, Shahina Akhter and Małgorzata Łochyńska. Their work appears in journals such as Heliyon, RSC Advances, Molecules, Journal of Molecular Medicine and Pharmaceuticals.
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.