Seemay Chou
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Virology top 2%
- HIV Research and Treatment
Papers in
-
- Genomics and Chromatin Dynamics 3
-
- Vibrio bacteria research studies 7
- Escherichia coli research studies 6
- Co-authors
- Tom Alber (7 shared papers)Qiang Zhou (5 shared papers)Nanhai He (4 shared papers)Joseph D. Mougous (6 shared papers)Nevan J. Krogan (4 shared papers)Min Liu (2 shared papers)Yuhua Xue (2 shared papers)Alma L. Burlingame (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)eLife (4 papers)Development (2 papers)Journal of Biological Chemistry (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Seemay Chou
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 94
- Endocrinology 400
- Virology 270
- Molecular Medicine 176
- Parasitology 137
- Infectious Diseases 318
Countries citing papers authored by Seemay Chou
This map shows the geographic impact of Seemay Chou'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 Seemay Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seemay Chou more than expected).
Fields of papers citing papers by Seemay Chou
This network shows the impact of papers produced by Seemay Chou. 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 Seemay Chou. The network helps show where Seemay Chou may publish in the future.
Co-authors
The 25 scholars most cited alongside Seemay Chou, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 323 | |
| 2 | 2014 | 280 | |
| 3 | 2011 | 156 | |
| 4 | 2007 | 117 | |
| 5 | 2013 | 105 | |
| 6 | 2018 | 81 | |
| 7 | 2012 | 80 | |
| 8 | 2012 | 77 | |
| 9 | 2011 | 69 | |
| 10 | 2014 | 69 | |
| 11 | 2013 | 65 | |
| 12 | 2012 | 56 | |
| 13 | 2011 | 45 | |
| 14 | 2010 | 44 | |
| 15 | 2020 | 30 | |
| 16 | 2021 | 26 | |
| 17 | 2022 | 21 | |
| 18 | 2011 | 21 | |
| 19 | 2010 | 17 | |
| 20 | 2019 | 13 |
About Seemay Chou
Seemay Chou is a scholar working on Molecular Biology, Endocrinology, Infectious Diseases, Parasitology and Molecular Medicine, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (7 papers), Vector-borne infectious diseases (6 papers), Escherichia coli research studies (6 papers), Viral Infections and Vectors (5 papers), Antibiotic Resistance in Bacteria (5 papers), HIV Research and Treatment (4 papers), Genomics and Chromatin Dynamics (3 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Endocrinology (400 citations), Virology (270 citations), Molecular Medicine (176 citations), Parasitology (137 citations) and Infectious Diseases (318 citations). Seemay Chou has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Tom Alber, Qiang Zhou, Nanhai He, Joseph D. Mougous, Nevan J. Krogan, Min Liu, Yuhua Xue, Alma L. Burlingame, Joanne Hsu and John C. Whitney. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Development, Journal of Biological Chemistry and PLoS Pathogens.
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.