Suvajit Sen
Impact in
- Biochemistry top 2%
- Sulfur Compounds in Biology
- Amino Acid Enzymes and Metabolism
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Heme Oxygenase-1 and Carbon Monoxide 5
- Glutathione Transferases and Polymorphisms 3
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- Sulfur Compounds in Biology 5
- Co-authors
- Gautam Chaudhuri (14 shared papers)Brian Kawahara (9 shared papers)Pradip K. Mascharak (5 shared papers)Carla Janzen (4 shared papers)Kym F. Faull (3 shared papers)Ruma Banerjee (3 shared papers)Sivakumar Ramadoss (5 shared papers)Robin Farias‐Eisner (4 shared papers)
- Journals
- Free Radical Biology and Medicine (3 papers)Journal of Inorganic Biochemistry (2 papers)Archives of Biochemistry and Biophysics (2 papers)Journal of Clinical Oncology (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Suvajit Sen
29 papers receiving 741 citations
Peers
Comparison fields: 5 of 89
- Biochemistry 179
- Cancer Research 106
- Rheumatology 86
- Molecular Biology 354
- Hepatology 30
Countries citing papers authored by Suvajit Sen
This map shows the geographic impact of Suvajit 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 Suvajit Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvajit Sen more than expected).
Fields of papers citing papers by Suvajit Sen
This network shows the impact of papers produced by Suvajit 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 Suvajit Sen. The network helps show where Suvajit Sen may publish in the future.
Co-authors
The 25 scholars most cited alongside Suvajit 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 126 | |
| 2 | 2017 | 60 | |
| 3 | 2012 | 54 | |
| 4 | 2018 | 51 | |
| 5 | 2016 | 48 | |
| 6 | 2016 | 39 | |
| 7 | 2022 | 36 | |
| 8 | 2016 | 35 | |
| 9 | 2012 | 34 | |
| 10 | 2019 | 28 | |
| 11 | 2016 | 28 | |
| 12 | 2007 | 22 | |
| 13 | 2021 | 21 | |
| 14 | 2006 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2016 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2005 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2015 | 13 |
About Suvajit Sen
Suvajit Sen is a scholar working on Molecular Biology, Biochemistry, Rheumatology, Cancer Research and Physiology, having authored 29 papers that have together received 744 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (6 papers), Sulfur Compounds in Biology (5 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Metabolism and Genetic Disorders (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Biochemistry (179 citations), Cancer Research (106 citations), Rheumatology (86 citations), Molecular Biology (354 citations) and Hepatology (30 citations). Suvajit Sen has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Gautam Chaudhuri, Brian Kawahara, Pradip K. Mascharak, Carla Janzen, Kym F. Faull, Ruma Banerjee, Sivakumar Ramadoss, Robin Farias‐Eisner, Alexander J. Yoon and Rebecca Tsai. Their work appears in journals such as Free Radical Biology and Medicine, Journal of Inorganic Biochemistry, Archives of Biochemistry and Biophysics, Journal of Clinical Oncology and Biochemistry.
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.