Simanti Datta
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Hepatology top 5%
Papers in
- Epidemiology 24
- Hepatitis B Virus Studies 18
- Liver Disease Diagnosis and Treatment 5
- Surgery 15
- Helicobacter pylori-related gastroenterology studies 14
- Co-authors
- Nina Costantino (6 shared papers)Donald L. Court (6 shared papers)Abhijit Chowdhury (30 shared papers)Soma Banerjee (28 shared papers)Amal Santra (19 shared papers)Lynn C. Thomason (4 shared papers)Asish K. Mukhopadhyay (10 shared papers)Douglas E. Berg (10 shared papers)
- Journals
- Journal of Clinical Microbiology (7 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)Clinical Microbiology and Infection (3 papers)Hepatology (2 papers)
- Partner nations
- IndiaUnited StatesBangladesh
In The Last Decade
Simanti Datta
57 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 107
- Endocrinology 303
- Hepatology 200
- Molecular Medicine 102
- Genetics 492
- Small Animals 130
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 397 | |
| 2 | 2000 | 205 | |
| 3 | 2007 | 187 | |
| 4 | 2008 | 159 | |
| 5 | 2017 | 132 | |
| 6 | 2020 | 102 | |
| 7 | 2002 | 96 | |
| 8 | 2007 | 88 | |
| 9 | 2002 | 87 | |
| 10 | 2004 | 75 | |
| 11 | 2000 | 62 | |
| 12 | 2012 | 58 | |
| 13 | 2019 | 50 | |
| 14 | 2016 | 50 | |
| 15 | 2002 | 48 | |
| 16 | 2005 | 46 | |
| 17 | 2003 | 37 | |
| 18 | 2003 | 37 | |
| 19 | 2010 | 34 | |
| 20 | 2002 | 32 |
About Simanti Datta
Simanti Datta is a scholar working on Epidemiology, Surgery, Immunology, Molecular Biology and Infectious Diseases, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (18 papers), Helicobacter pylori-related gastroenterology studies (14 papers), Hepatitis C virus research (9 papers), MicroRNA in disease regulation (6 papers), Bacterial Genetics and Biotechnology (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Viral gastroenteritis research and epidemiology (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Endocrinology (303 citations), Hepatology (200 citations), Molecular Medicine (102 citations), Genetics (492 citations) and Small Animals (130 citations). Simanti Datta has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Nina Costantino, Donald L. Court, Abhijit Chowdhury, Soma Banerjee, Amal Santra, Lynn C. Thomason, Asish K. Mukhopadhyay, Douglas E. Berg, Sujit Bhattacharya and Santanu Chattopadhyay. Their work appears in journals such as Journal of Clinical Microbiology, Scientific Reports, PLoS ONE, Clinical Microbiology and Infection and Hepatology.
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.