Anup Datta
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
- Microbiology 12
- Bacterial Infections and Vaccines 11
- Epidemiology 11
- Pneumonia and Respiratory Infections 8
- Co-authors
- Russell W. Carlson (16 shared papers)David S. Stephens (11 shared papers)Yih‐Ling Tzeng (7 shared papers)Susu M. Zughaier (3 shared papers)Shanta M. Zimmer (3 shared papers)Gail P. Ferguson (2 shared papers)Graham C. Walker (2 shared papers)Charlene M. Kahler (3 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Infection and Immunity (5 papers)Journal of Biological Chemistry (3 papers)Carbohydrate Research (2 papers)Molecular Microbiology (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Anup Datta
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Microbiology 395
- Endocrinology 151
- Immunology 375
- Molecular Medicine 72
- Epidemiology 319
Countries citing papers authored by Anup Datta
This map shows the geographic impact of Anup 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 Anup Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Datta more than expected).
Fields of papers citing papers by Anup Datta
This network shows the impact of papers produced by Anup 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 Anup Datta. The network helps show where Anup Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Anup 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 197 | |
| 2 | 2003 | 126 | |
| 3 | 2004 | 82 | |
| 4 | 2006 | 73 | |
| 5 | 2005 | 68 | |
| 6 | 2002 | 65 | |
| 7 | 2005 | 63 | |
| 8 | 2002 | 53 | |
| 9 | 2004 | 50 | |
| 10 | 2004 | 48 | |
| 11 | 2005 | 46 | |
| 12 | 2004 | 40 | |
| 13 | 2003 | 40 | |
| 14 | 2002 | 36 | |
| 15 | 2005 | 30 | |
| 16 | 2007 | 28 | |
| 17 | 2006 | 25 | |
| 18 | 1999 | 23 | |
| 19 | 2002 | 22 | |
| 20 | 2008 | 19 |
About Anup Datta
Anup Datta is a scholar working on Microbiology, Epidemiology, Molecular Biology, Immunology and Plant Science, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (11 papers), Pneumonia and Respiratory Infections (8 papers), Bacterial Genetics and Biotechnology (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Glycosylation and Glycoproteins Research (4 papers), Immune Response and Inflammation (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Microbiology (395 citations), Endocrinology (151 citations), Immunology (375 citations), Molecular Medicine (72 citations) and Epidemiology (319 citations). Anup Datta has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Russell W. Carlson, David S. Stephens, Yih‐Ling Tzeng, Susu M. Zughaier, Shanta M. Zimmer, Gail P. Ferguson, Graham C. Walker, Charlene M. Kahler, R. Martin Roop and Joanna B. Goldberg. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Journal of Biological Chemistry, Carbohydrate Research and Molecular 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.