Rajdeep Das
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Transplantation top 10%
Papers in
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- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Protein Structure and Dynamics 2
- Heat shock proteins research 2
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- Prostate Cancer Treatment and Research 6
- Co-authors
- Mark Gerstein (2 shared papers)John R. Edwards (2 shared papers)Robert A. Rollins (2 shared papers)Michael Q. Zhang (2 shared papers)Timothy H. Bestor (2 shared papers)Fatemeh Haghighi (1 shared paper)Jingyue Ju (1 shared paper)Luke A. Selth (5 shared papers)
- Journals
- Nature Communications (2 papers)Functional & Integrative Genomics (2 papers)Proceedings of the National Academy of Sciences (1 paper)Trends in Molecular Medicine (1 paper)The Prostate (1 paper)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Rajdeep Das
16 papers receiving 820 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 155
- Transplantation 27
- Molecular Biology 661
- Genetics 125
- Pulmonary and Respiratory Medicine 115
Countries citing papers authored by Rajdeep Das
This map shows the geographic impact of Rajdeep Das'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 Rajdeep Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajdeep Das more than expected).
Fields of papers citing papers by Rajdeep Das
This network shows the impact of papers produced by Rajdeep Das. 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 Rajdeep Das. The network helps show where Rajdeep Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajdeep Das, 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 | 2005 | 267 | |
| 2 | 2006 | 121 | |
| 3 | 2000 | 105 | |
| 4 | 2016 | 89 | |
| 5 | 2017 | 69 | |
| 6 | 2018 | 26 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2016 | 24 | |
| 10 | 2019 | 22 | |
| 11 | 2014 | 21 | |
| 12 | 2018 | 11 | |
| 13 | 2000 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2022 | 7 | |
| 16 | 1999 | 6 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2014 | 0 |
About Rajdeep Das
Rajdeep Das is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Dermatology and Oncology, having authored 20 papers that have together received 839 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Protein Structure and Dynamics (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Cancer Research (155 citations), Transplantation (27 citations), Molecular Biology (661 citations), Genetics (125 citations) and Pulmonary and Respiratory Medicine (115 citations). Rajdeep Das has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Mark Gerstein, John R. Edwards, Robert A. Rollins, Michael Q. Zhang, Timothy H. Bestor, Fatemeh Haghighi, Jingyue Ju, Luke A. Selth, Anat R. Tambur and Wayne D. Tilley. Their work appears in journals such as Nature Communications, Functional & Integrative Genomics, Proceedings of the National Academy of Sciences, Trends in Molecular Medicine and The Prostate.
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.