J. Dasgupta
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
Papers in
-
- Biochemical and Structural Characterization 6
- Insect Resistance and Genetics 5
- Lipid Membrane Structure and Behavior 4
-
- Vibrio bacteria research studies 7
- Co-authors
- Xiaojiang S. Chen (6 shared papers)Brooke Bishop (3 shared papers)U. Sen (13 shared papers)Martin Sapp (2 shared papers)Malgorzata Bienkowska‐Haba (2 shared papers)Lawrence Banks (2 shared papers)Miranda Thomas (2 shared papers)Neil D. Christensen (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (3 papers)Biochemistry (3 papers)Scientific Reports (2 papers)Protein Engineering Design and Selection (2 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
J. Dasgupta
29 papers receiving 787 citations
Peers
Comparison fields: 5 of 86
- Endocrinology 47
- Epidemiology 306
- Immunology 168
- Cell Biology 113
- Virology 32
Countries citing papers authored by J. Dasgupta
This map shows the geographic impact of J. Dasgupta'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 J. Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Dasgupta more than expected).
Fields of papers citing papers by J. Dasgupta
This network shows the impact of papers produced by J. Dasgupta. 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 J. Dasgupta. The network helps show where J. Dasgupta may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Dasgupta, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 150 | |
| 2 | 2007 | 105 | |
| 3 | 2013 | 96 | |
| 4 | 2010 | 81 | |
| 5 | 2009 | 45 | |
| 6 | 2007 | 44 | |
| 7 | 2008 | 40 | |
| 8 | 2004 | 40 | |
| 9 | 2005 | 23 | |
| 10 | 1999 | 18 | |
| 11 | 2013 | 15 | |
| 12 | 2006 | 15 | |
| 13 | 2001 | 14 | |
| 14 | 2008 | 14 | |
| 15 | 2003 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2003 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2020 | 10 | |
| 20 | 2017 | 10 |
About J. Dasgupta
J. Dasgupta is a scholar working on Molecular Biology, Endocrinology, Cell Biology, Genetics and Epidemiology, having authored 31 papers that have together received 802 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (7 papers), Biochemical and Structural Characterization (6 papers), Bacterial Genetics and Biotechnology (5 papers), Cervical Cancer and HPV Research (5 papers), Insect Resistance and Genetics (5 papers), Lipid Membrane Structure and Behavior (4 papers), Hemoglobin structure and function (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Endocrinology (47 citations), Epidemiology (306 citations), Immunology (168 citations), Cell Biology (113 citations) and Virology (32 citations). J. Dasgupta has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Xiaojiang S. Chen, Brooke Bishop, U. Sen, Martin Sapp, Malgorzata Bienkowska‐Haba, Lawrence Banks, Miranda Thomas, Neil D. Christensen, Michael G. Klein and Rui Zhao. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Biochemistry, Scientific Reports and Protein Engineering Design and Selection.
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.