Simanti Datta
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Surgery top 5%
- Helicobacter pylori-related gastroenterology studies
Papers in
- Epidemiology 19
- Hepatitis B Virus Studies 19
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- MicroRNA in disease regulation 5
- Co-authors
- Donald L. Court (6 shared papers)Nina Costantino (6 shared papers)Abhijit Chowdhury (29 shared papers)Soma Banerjee (27 shared papers)Amal Kumar Santra (18 shared papers)Asish Kumar Mukhopadhyay (10 shared papers)Douglas E. Berg (11 shared papers)Lynn C. Thomason (4 shared papers)
- Journals
- Journal of Clinical Microbiology (7 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)Clinical Microbiology and Infection (3 papers)Alimentary Pharmacology & Therapeutics (2 papers)
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Simanti Datta
58 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 72
- Endocrinology 180
- Surgery 687
- Cancer Research 143
- Epidemiology 281
- Genetics 199
Countries citing papers authored by Simanti Datta
This map shows the geographic impact of Simanti Datta'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 Simanti Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simanti Datta more than expected).
Fields of papers citing papers by Simanti Datta
This network shows the impact of papers produced by Simanti Datta. 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 Simanti Datta. The network helps show where Simanti Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Simanti Datta, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 411 | |
| 2 | 2000 | 223 | |
| 3 | 2000 | 209 | |
| 4 | 2007 | 179 | |
| 5 | 2008 | 157 | |
| 6 | 2017 | 133 | |
| 7 | 2020 | 105 | |
| 8 | 2002 | 95 | |
| 9 | 2007 | 93 | |
| 10 | 2002 | 89 | |
| 11 | 2004 | 74 | |
| 12 | 2000 | 62 | |
| 13 | 2012 | 62 | |
| 14 | 2019 | 52 | |
| 15 | 2016 | 51 | |
| 16 | 2002 | 49 | |
| 17 | 2005 | 47 | |
| 18 | 2003 | 39 | |
| 19 | 2003 | 39 | |
| 20 | 2010 | 36 |
About Simanti Datta
Simanti Datta is a scholar working on Epidemiology, Cancer Research, Surgery, Endocrinology and Pathology and Forensic Medicine, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (19 papers), Helicobacter pylori-related gastroenterology studies (15 papers), MicroRNA in disease regulation (5 papers), Alcohol Consumption and Health Effects (3 papers), Bacterial Genetics and Biotechnology (3 papers), Escherichia coli research studies (2 papers), Vibrio bacteria research studies (2 papers) and Research on Leishmaniasis Studies (1 paper). The work is most often cited by research in Endocrinology (180 citations), Surgery (687 citations), Cancer Research (143 citations), Epidemiology (281 citations) and Genetics (199 citations). Simanti Datta has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Donald L. Court, Nina Costantino, Abhijit Chowdhury, Soma Banerjee, Amal Kumar Santra, Asish Kumar Mukhopadhyay, Douglas E. Berg, Lynn C. Thomason, Mikhail G. Bubunenko and Sujit Bhattacharya. Their work appears in journals such as Journal of Clinical Microbiology, Scientific Reports, PLoS ONE, Clinical Microbiology and Infection and Alimentary Pharmacology & Therapeutics.
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.