Debayan Datta
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 2
- Bioinformatics and Genomic Networks 2
-
- Alzheimer's disease research and treatments 1
- Co-authors
- Salvador Aznar Benitah (3 shared papers)Guiomar Solanas (3 shared papers)Hongyu Zhao (3 shared papers)Alexandra Avgustinova (2 shared papers)Lorenzo Rinaldi (2 shared papers)Vanessa Ruiz‐Bonilla (1 shared paper)David Matallanas (1 shared paper)Andrés Castellanos‐Martín (1 shared paper)
- Journals
- Bioinformatics (2 papers)Scientific Reports (1 paper)Annals of the Rheumatic Diseases (1 paper)BMC Bioinformatics (1 paper)Cell stem cell (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Debayan Datta
8 papers receiving 452 citations
Peers
Comparison fields: 5 of 82
- Aging 66
- Endocrine and Autonomic Systems 112
- Physiology 110
- Molecular Biology 270
- Biological Psychiatry 9
Countries citing papers authored by Debayan Datta
This map shows the geographic impact of Debayan Datta'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 Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debayan Datta more than expected).
Fields of papers citing papers by Debayan Datta
This network shows the impact of papers produced by Debayan Datta. 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 Datta. The network helps show where Debayan Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Debayan Datta, 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 | 2017 | 170 | |
| 2 | 2016 | 159 | |
| 3 | 2017 | 45 | |
| 4 | 2009 | 32 | |
| 5 | 2007 | 19 | |
| 6 | 2014 | 13 | |
| 7 | 2020 | 13 | |
| 8 | 2009 | 1 | |
| 9 | 2025 | 0 |
About Debayan Datta
Debayan Datta is a scholar working on Molecular Biology, Physiology, Neurology, Endocrine and Autonomic Systems and Epidemiology, having authored 9 papers that have together received 452 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers), Bioinformatics and Genomic Networks (2 papers), Forensic and Genetic Research (1 paper), Alzheimer's disease research and treatments (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Aging (66 citations), Endocrine and Autonomic Systems (112 citations), Physiology (110 citations), Molecular Biology (270 citations) and Biological Psychiatry (9 citations). Debayan Datta has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Salvador Aznar Benitah, Guiomar Solanas, Hongyu Zhao, Alexandra Avgustinova, Lorenzo Rinaldi, Vanessa Ruiz‐Bonilla, David Matallanas, Andrés Castellanos‐Martín, Pura Muñoz‐Cánoves and Lluís Morey. Their work appears in journals such as Bioinformatics, Scientific Reports, Annals of the Rheumatic Diseases, BMC Bioinformatics and Cell stem cell.
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.