Rayees Rahman
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Melanoma and MAPK Pathways
- Bioinformatics and Genomic Networks
- Bacterial biofilms and quorum sensing
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 2
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Microbial Natural Products and Biosynthesis 5
- Co-authors
- Avner Schlessinger (10 shared papers)Peter M.U. Ung (3 shared papers)Balaguru Ravikumar (3 shared papers)Anna Cichońska (3 shared papers)Abraham Reichenberg (3 shared papers)Arad Kodesh (3 shared papers)Stephen Z. Levine (3 shared papers)Sven Sandin (3 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Nature Communications (2 papers)European Psychiatry (1 paper)Database (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIsraelSweden
In The Last Decade
Rayees Rahman
15 papers receiving 286 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 61
- Molecular Biology 166
- Cognitive Neuroscience 40
- Endocrinology 7
- Pharmacology 21
Countries citing papers authored by Rayees Rahman
This map shows the geographic impact of Rayees Rahman'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 Rayees Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rayees Rahman more than expected).
Fields of papers citing papers by Rayees Rahman
This network shows the impact of papers produced by Rayees Rahman. 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 Rayees Rahman. The network helps show where Rayees Rahman may publish in the future.
Co-authors
The 25 scholars most cited alongside Rayees Rahman, 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 | 2018 | 67 | |
| 2 | 2017 | 40 | |
| 3 | 2020 | 38 | |
| 4 | 2024 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2018 | 26 | |
| 7 | 2018 | 20 | |
| 8 | 2019 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2021 | 1 |
About Rayees Rahman
Rayees Rahman is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Cognitive Neuroscience and Infectious Diseases, having authored 15 papers that have together received 303 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Autism Spectrum Disorder Research (2 papers), Gene expression and cancer classification (2 papers), Machine Learning in Bioinformatics (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (61 citations), Molecular Biology (166 citations), Cognitive Neuroscience (40 citations), Endocrinology (7 citations) and Pharmacology (21 citations). Rayees Rahman has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Avner Schlessinger, Peter M.U. Ung, Balaguru Ravikumar, Anna Cichońska, Abraham Reichenberg, Arad Kodesh, Stephen Z. Levine, Sven Sandin, Weigang Qiu and Jinyuan Yan. Their work appears in journals such as PLoS Computational Biology, Nature Communications, European Psychiatry, Database and Proceedings of the National Academy of Sciences.
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.