Keya Sen
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 3
-
- Salmonella and Campylobacter epidemiology 5
- Co-authors
- Hiroshi Nikaido (4 shared papers)Mark R. Rodgers (1 shared paper)J. Hellman (1 shared paper)Sabyasachi Chakrabarti (1 shared paper)Jyotirmoy Das (1 shared paper)К. Ray Chaudhuri (1 shared paper)Dennis J. Lye (3 shared papers)Diana S. Beattie (2 shared papers)
- Journals
- Frontiers in Microbiology (4 papers)Journal of Bacteriology (3 papers)Archives of Biochemistry and Biophysics (2 papers)Applied and Environmental Microbiology (2 papers)Canadian Journal of Microbiology (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Keya Sen
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Endocrinology 323
- Molecular Medicine 97
- Immunology 323
- Microbiology 70
- Genetics 269
Countries citing papers authored by Keya Sen
This map shows the geographic impact of Keya 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 Keya Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keya Sen more than expected).
Fields of papers citing papers by Keya Sen
This network shows the impact of papers produced by Keya 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 Keya Sen. The network helps show where Keya Sen may publish in the future.
Co-authors
The 25 scholars most cited alongside Keya 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 239 | |
| 2 | 1988 | 147 | |
| 3 | 1996 | 101 | |
| 4 | 1991 | 90 | |
| 5 | 1990 | 72 | |
| 6 | 2000 | 51 | |
| 7 | 1991 | 41 | |
| 8 | 2011 | 39 | |
| 9 | 2005 | 32 | |
| 10 | 2007 | 30 | |
| 11 | 2001 | 27 | |
| 12 | 1985 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2007 | 23 | |
| 15 | 2019 | 21 | |
| 16 | 1986 | 18 | |
| 17 | Environmental microbiology : current technology and water applications | 2010 | 16 |
| 18 | 1996 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2018 | 9 |
About Keya Sen
Keya Sen is a scholar working on Endocrinology, Food Science, Microbiology, Genetics and Infectious Diseases, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Bacteriophages and microbial interactions (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Lipid Membrane Structure and Behavior (3 papers), Aquaculture disease management and microbiota (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Endocrinology (323 citations), Molecular Medicine (97 citations), Immunology (323 citations), Microbiology (70 citations) and Genetics (269 citations). Keya Sen has collaborated with scholars based in United States, India and China. Frequent co-authors include Hiroshi Nikaido, Mark R. Rodgers, J. Hellman, Sabyasachi Chakrabarti, Jyotirmoy Das, К. Ray Chaudhuri, Dennis J. Lye, Diana S. Beattie, David M. Asher and Nancy A. Schable. Their work appears in journals such as Frontiers in Microbiology, Journal of Bacteriology, Archives of Biochemistry and Biophysics, Applied and Environmental Microbiology and Canadian Journal of Microbiology.
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.