Debopriya Das
Impact in
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- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Melanoma and MAPK Pathways
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
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- Gene expression and cancer classification 5
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Metabolism, Diabetes, and Cancer 2
- Gene Regulatory Network Analysis 1
- Co-authors
- Michael Zhang (5 shared papers)Zaher A. Nahle (3 shared papers)Joe W. Gray (2 shared papers)Khalid S. Salaita (1 shared paper)Pradeep M. Nair (1 shared paper)Rebecca S. Petit (1 shared paper)Jay T. Groves (1 shared paper)Richard M. Neve (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Science (1 paper)Molecular Systems Biology (1 paper)Nucleic Acids Research (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Debopriya Das
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 727
- Cancer Research 134
- Immunology and Allergy 55
- Cell Biology 153
- Oncology 173
Countries citing papers authored by Debopriya Das
This map shows the geographic impact of Debopriya 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 Debopriya Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debopriya Das more than expected).
Fields of papers citing papers by Debopriya Das
This network shows the impact of papers produced by Debopriya 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 Debopriya Das. The network helps show where Debopriya Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Debopriya 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 | 2009 | 327 | |
| 2 | 2010 | 288 | |
| 3 | 2008 | 110 | |
| 4 | 2008 | 94 | |
| 5 | 2004 | 90 | |
| 6 | 2007 | 67 | |
| 7 | 2006 | 48 | |
| 8 | 2009 | 12 | |
| 9 | 2007 | 8 | |
| 10 | 2007 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 |
About Debopriya Das
Debopriya Das is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Cell Biology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Gene Regulatory Network Analysis (1 paper), Pancreatic function and diabetes (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (727 citations), Cancer Research (134 citations), Immunology and Allergy (55 citations), Cell Biology (153 citations) and Oncology (173 citations). Debopriya Das has collaborated with scholars based in United States, France and India. Frequent co-authors include Michael Zhang, Zaher A. Nahle, Joe W. Gray, Khalid S. Salaita, Pradeep M. Nair, Rebecca S. Petit, Jay T. Groves, Richard M. Neve, Nilanjana Banerjee and Nandakumar Sambandam. Their work appears in journals such as Journal of Biological Chemistry, Science, Molecular Systems Biology, Nucleic Acids Research and Cancer Research.
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.