Suparna A. Sarkar
- Genetics top 1%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Immunology top 10%
- Co-authors
- John C. HuttonHoward W. DavidsonOng MouaGeorge S. EisenbarthJanet M. WenzlauJan JensenMarian RewersLiping Yu
- Topics
- Pancreatic function and diabetes (16 papers)Diabetes and associated disorders (15 papers)Inflammatory Bowel Disease (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Suparna A. Sarkar
43 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 1.2k
- Surgery 1.1k
- Endocrinology, Diabetes and Metabolism 731
- Molecular Biology 525
- Immunology 350
Countries citing papers authored by Suparna A. Sarkar
This map shows the geographic impact of Suparna A. Sarkar'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 Suparna A. Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suparna A. Sarkar more than expected).
Fields of papers citing papers by Suparna A. Sarkar
This network shows the impact of papers produced by Suparna A. Sarkar. 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 Suparna A. Sarkar. The network helps show where Suparna A. Sarkar may publish in the future.
Co-authorship network of co-authors of Suparna A. Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Suparna A. Sarkar. A scholar is included among the top collaborators of Suparna A. Sarkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suparna A. Sarkar. Suparna A. Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 34 | |
| 4 | 8 | |
| 5 | 50 | |
| 6 | 102 | |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 52 | |
| 10 | 9 | |
| 11 | 113 | |
| 12 | 29 | |
| 13 | 48 | |
| 14 | 73 | |
| 15 | 74 | |
| 16 | The cation efflux transporter ZnT8 (Slc30A8) is a major autoantigen in human type 1 diabetesbreakdown → | 723 |
| 17 | 75 | |
| 18 | 23 | |
| 19 | 2 | |
| 20 | 22 |
About Suparna A. Sarkar
Suparna A. Sarkar is a scholar working on Genetics, Surgery and Immunology, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Diabetes and associated disorders (15 papers) and Inflammatory Bowel Disease (6 papers). The work is most often cited by research in Genetics (1.2k citations), Endocrinology, Diabetes and Metabolism (731 citations) and Surgery (1.1k citations). Suparna A. Sarkar has collaborated with scholars based in United States, India and France. Frequent co-authors include John C. Hutton, Howard W. Davidson, Ong Moua, George S. Eisenbarth, Janet M. Wenzlau, Jan Jensen, Marian Rewers, Liping Yu, Kirstine Juhl and Peter A. Gottlieb. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.