Subhojit Sen
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Geriatrics and Gerontology top 10%
Papers in
-
- Genomics and Chromatin Dynamics 6
- DNA Repair Mechanisms 5
- Epigenetics and DNA Methylation 4
- DNA and Nucleic Acid Chemistry 3
- RNA and protein synthesis mechanisms 3
- Protist diversity and phylogeny 2
- RNA modifications and cancer 2
- Genetics 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Gaku Mizuguchi (3 shared papers)Carl Wu (3 shared papers)Hariharan Easwaran (5 shared papers)Stephen B. Baylin (5 shared papers)Yang W. Zhang (2 shared papers)Leander Van Neste (3 shared papers)Ed Luk (2 shared papers)Wei-Hua Wu (2 shared papers)
- Journals
- Biochemistry (2 papers)Cancer Research (2 papers)Cancer Cell (2 papers)BMC Medical Genomics (1 paper)Journal of Biosciences (1 paper)
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Subhojit Sen
19 papers receiving 2.0k citations
Subhojit Sen's Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.8k
- Geriatrics and Gerontology 34
- Aging 19
- Cancer Research 130
- Plant Science 349
Countries citing papers authored by Subhojit Sen
This map shows the geographic impact of Subhojit Sen'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 Subhojit Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhojit Sen more than expected).
Fields of papers citing papers by Subhojit Sen
This network shows the impact of papers produced by Subhojit Sen. 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 Subhojit Sen. The network helps show where Subhojit Sen may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhojit Sen, 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 | ATP-Driven Exchange of Histone H2AZ Variant Catalyzed by SWR1 Chromatin Remodeling Complex Hit paper breakdown → | 2003 | 1048 |
| 2 | 2011 | 465 | |
| 3 | 2005 | 210 | |
| 4 | 2007 | 130 | |
| 5 | 2018 | 90 | |
| 6 | 2010 | 27 | |
| 7 | 2016 | 24 | |
| 8 | 2003 | 19 | |
| 9 | 2000 | 9 | |
| 10 | 2001 | 8 | |
| 11 | 2018 | 4 | |
| 12 | 2001 | 4 | |
| 13 | 2002 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2011 | 1 | |
| 19 | 2024 | 1 |
About Subhojit Sen
Subhojit Sen is a scholar working on Molecular Biology, Genetics, Ecology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), DNA Repair Mechanisms (5 papers), Epigenetics and DNA Methylation (4 papers), DNA and Nucleic Acid Chemistry (3 papers), RNA and protein synthesis mechanisms (3 papers), Protist diversity and phylogeny (2 papers), Bacterial Genetics and Biotechnology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Geriatrics and Gerontology (34 citations), Aging (19 citations), Cancer Research (130 citations) and Plant Science (349 citations). Subhojit Sen has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Gaku Mizuguchi, Carl Wu, Hariharan Easwaran, Stephen B. Baylin, Yang W. Zhang, Leander Van Neste, Ed Luk, Wei-Hua Wu, Robert A. Casero and Cynthia L. Sears. Their work appears in journals such as Biochemistry, Cancer Research, Cancer Cell, BMC Medical Genomics and Journal of Biosciences.
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.