Jeffrey D. Ansite
- Surgery top 2%
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Pharmacology top 5%
- Molecular Biology
- Co-authors
- Bernhard J. HeringDavid E.R. SutherlandMasahiko NakanoIppei MatsumotoToshiya SawadaHui J. ZhangRaja KandaswamyPratima Bansal‐Pakala
- Topics
- Pancreatic function and diabetes (17 papers)Diabetes and associated disorders (5 papers)Cannabis and Cannabinoid Research (5 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Jeffrey D. Ansite
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 57
- Surgery 1.2k
- Genetics 703
- Endocrinology, Diabetes and Metabolism 516
- Pharmacology 272
- Molecular Biology 195
Countries citing papers authored by Jeffrey D. Ansite
This map shows the geographic impact of Jeffrey D. Ansite'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 Jeffrey D. Ansite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Ansite more than expected).
Fields of papers citing papers by Jeffrey D. Ansite
This network shows the impact of papers produced by Jeffrey D. Ansite. 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 Jeffrey D. Ansite. The network helps show where Jeffrey D. Ansite may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Ansite
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Ansite. A scholar is included among the top collaborators of Jeffrey D. Ansite 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 Jeffrey D. Ansite. Jeffrey D. Ansite is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 23 | |
| 3 | 34 | |
| 4 | 142 | |
| 5 | 427 | |
| 6 | 104 | |
| 7 | 283 | |
| 8 | 72 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 28 | |
| 16 | 51 | |
| 17 | Administration of NG-monomethyl-L-arginine in a marginal renal subcapsular mouse islet transplant model. | 1 |
| 18 | Expression of intrahepatic inducible nitric oxide synthetase mRNA correlates with production of nitric oxide during intraportal isogeneic and allogeneic rat islet transplantation. | 5 |
| 19 | 42 |
About Jeffrey D. Ansite
Jeffrey D. Ansite is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Transplantation, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (17 papers), Diabetes and associated disorders (5 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Transplantation (95 citations), Endocrinology, Diabetes and Metabolism (516 citations) and Surgery (1.2k citations). Jeffrey D. Ansite has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Bernhard J. Hering, David E.R. Sutherland, Masahiko Nakano, Ippei Matsumoto, Toshiya Sawada, Hui J. Zhang, Raja Kandaswamy, Pratima Bansal‐Pakala, Charles D. Mills and Sung‐Hee Ihm. Their work appears in journals such as Nature Medicine, Nature Communications and Diabetes.
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.