Subhra Chakraborty
- Endocrinology top 0.5%
- Escherichia coli research studies 35
- Vibrio bacteria research studies 10
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 6
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 34
- Clostridium difficile and Clostridium perfringens research 11
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 11
- Nutrition and Dietetics top 10%
- Child Nutrition and Water Access 9
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- Aquaculture disease management and microbiota 4
- Co-authors
- David A. SackClayton HarroA. Louis BourgeoisBarbara DeNearingRichard I. WalkerThandavarayan RamamurthyJessica BrubakerG. Balakrish Nair
- Journals
- PLoS ONE (3 papers)American Journal of Clinical Nutrition (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesIndiaBangladesh
In The Last Decade
Subhra Chakraborty
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Endocrinology 828
- Molecular Medicine 179
- Infectious Diseases 640
- Food Science 292
- Nutrition and Dietetics 143
Countries citing papers authored by Subhra Chakraborty
This map shows the geographic impact of Subhra Chakraborty'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 Subhra Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhra Chakraborty more than expected).
Fields of papers citing papers by Subhra Chakraborty
This network shows the impact of papers produced by Subhra Chakraborty. 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 Subhra Chakraborty. The network helps show where Subhra Chakraborty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Subhra Chakraborty, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 33 | |
| 12 | 2019 | 26 | |
| 13 | 2019 | 59 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 16 | |
| 16 | 2017 | 40 | |
| 17 | 2016 | 51 | |
| 18 | 2016 | 30 | |
| 19 | 2004 | 18 | |
| 20 | 2002 | 38 |
About Subhra Chakraborty
Subhra Chakraborty is a scholar working on Endocrinology, Infectious Diseases and Molecular Medicine, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Escherichia coli research studies (35 papers), Viral gastroenteritis research and epidemiology (34 papers), Salmonella and Campylobacter epidemiology (11 papers), Clostridium difficile and Clostridium perfringens research (11 papers), Vibrio bacteria research studies (10 papers), Child Nutrition and Water Access (9 papers), Antibiotic Resistance in Bacteria (6 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Endocrinology (828 citations), Molecular Medicine (179 citations) and Infectious Diseases (640 citations). Subhra Chakraborty has collaborated with scholars based in United States, India and Bangladesh. Frequent co-authors include David A. Sack, Clayton Harro, A. Louis Bourgeois, Barbara DeNearing, Richard I. Walker, Thandavarayan Ramamurthy, Jessica Brubaker, G. Balakrish Nair, Shinji Yamasaki and Michael J. Darsley. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Clinical Infectious Diseases.
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.