Thomas Schermerhorn
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- Diabetes Management and Research 4
- Small Animals top 2%
- Veterinary Medicine and Surgery 7
- Surgery top 5%
- Pancreatic function and diabetes 15
- Pancreatitis Pathology and Treatment 4
- Parasitology top 5%
- Equine top 5%
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- Metabolism, Diabetes, and Cancer 9
- Ion Transport and Channel Regulation 4
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- Diabetes and associated disorders 8
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- Liver Disease and Transplantation 4
- Co-authors
- Geoffrey W.G. SharpMitsuhisa KomatsuSusanne G. StraubStephen C. BarrT AizawaToru AizawaMitsuhiko NodaJohn F. Randolph
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Thomas Schermerhorn
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 125
- Endocrinology, Diabetes and Metabolism 344
- Small Animals 152
- Surgery 800
- Parasitology 110
- Equine 24
Countries citing papers authored by Thomas Schermerhorn
This map shows the geographic impact of Thomas Schermerhorn'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 Thomas Schermerhorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schermerhorn more than expected).
Fields of papers citing papers by Thomas Schermerhorn
This network shows the impact of papers produced by Thomas Schermerhorn. 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 Thomas Schermerhorn. The network helps show where Thomas Schermerhorn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Schermerhorn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2022 | 7 | |
| 4 | 2017 | 24 | |
| 5 | 2014 | 120 | |
| 6 | 2014 | 3 | |
| 7 | 2013 | 41 | |
| 8 | 2011 | 19 | |
| 9 | 2009 | 10 | |
| 10 | 2009 | 14 | |
| 11 | 2008 | 18 | |
| 12 | 2006 | 19 | |
| 13 | 2004 | 27 | |
| 14 | 2004 | 26 | |
| 15 | 2004 | 4 | |
| 16 | 2002 | 8 | |
| 17 | 1998 | 2 | |
| 18 | 1997 | 7 | |
| 19 | 1997 | 16 | |
| 20 | 1996 | 40 |
About Thomas Schermerhorn
Thomas Schermerhorn is a scholar working on Small Animals, Endocrinology, Diabetes and Metabolism and Surgery, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Metabolism, Diabetes, and Cancer (9 papers), Diabetes and associated disorders (8 papers), Veterinary Medicine and Surgery (7 papers), Diabetes Management and Research (4 papers), Ion Transport and Channel Regulation (4 papers), Pancreatitis Pathology and Treatment (4 papers) and Liver Disease and Transplantation (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (344 citations), Small Animals (152 citations) and Surgery (800 citations). Thomas Schermerhorn has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Geoffrey W.G. Sharp, Mitsuhisa Komatsu, Susanne G. Straub, Stephen C. Barr, T Aizawa, Toru Aizawa, Mitsuhiko Noda, John F. Randolph, Kenneth W. Simpson and Hiroki Yajima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.