Debayan Dey
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- Tuberculosis Research and Epidemiology
Papers in
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- Antibiotic Resistance in Bacteria 5
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- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 7
- Protein Structure and Dynamics 3
- Co-authors
- Graeme L. Conn (14 shared papers)Suryanarayanarao Ramakumar (5 shared papers)Valakunja Nagaraja (2 shared papers)Udupi Anantharamachar Ramagopal (3 shared papers)Soumitra Ghosh (1 shared paper)Karuna Dixit (1 shared paper)Tuhin Bhowmick (1 shared paper)Siddhartha P. Sarma (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (3 papers)Nature Communications (2 papers)RSC Medicinal Chemistry (1 paper)Science Immunology (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Debayan Dey
23 papers receiving 414 citations
Peers
Comparison fields: 5 of 48
- Molecular Medicine 59
- Infectious Diseases 55
- Molecular Biology 164
- Genetics 66
- Immunology 35
Countries citing papers authored by Debayan Dey
This map shows the geographic impact of Debayan Dey'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 Debayan Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debayan Dey more than expected).
Fields of papers citing papers by Debayan Dey
This network shows the impact of papers produced by Debayan Dey. 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 Debayan Dey. The network helps show where Debayan Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Debayan Dey, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 98 | |
| 2 | 2021 | 54 | |
| 3 | 2016 | 37 | |
| 4 | 2019 | 33 | |
| 5 | 2023 | 28 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 2024 | 21 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2019 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2017 | 2 | |
| 20 | 2024 | 2 |
About Debayan Dey
Debayan Dey is a scholar working on Molecular Medicine, Molecular Biology, Immunology, Genetics and Computational Theory and Mathematics, having authored 24 papers that have together received 416 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers), Antibiotic Resistance in Bacteria (5 papers), Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), interferon and immune responses (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Medicine (59 citations), Infectious Diseases (55 citations), Molecular Biology (164 citations), Genetics (66 citations) and Immunology (35 citations). Debayan Dey has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Graeme L. Conn, Suryanarayanarao Ramakumar, Valakunja Nagaraja, Udupi Anantharamachar Ramagopal, Soumitra Ghosh, Karuna Dixit, Tuhin Bhowmick, Siddhartha P. Sarma, Christine M. Dunham and William M. Wuest. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nature Communications, RSC Medicinal Chemistry and Science Immunology.
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.