Peter Thams
Impact in
-
- Diet, Metabolism, and Disease
- Diabetes Treatment and Management
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
- Surgery 46
- Pancreatic function and diabetes 46
-
- Metabolism, Diabetes, and Cancer 20
- Receptor Mechanisms and Signaling 4
- Polyamine Metabolism and Applications 4
- Co-authors
- Kirsten Capito (31 shared papers)C. J. Hedeskov (20 shared papers)Hans Kofod (6 shared papers)A. Geisler (2 shared papers)S. E. Hansen (6 shared papers)Jens Høiriis Nielsen (6 shared papers)R. Klysner (1 shared paper)Jens J. Holst (5 shared papers)
- Journals
- Biochemical Journal (6 papers)European Journal of Endocrinology (4 papers)Diabetologia (4 papers)Acta Diabetologica (4 papers)Molecular and Cellular Endocrinology (3 papers)
- Partner nations
- DenmarkUnited StatesSweden
In The Last Decade
Peter Thams
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 359
- Physiology 67
- Surgery 641
- Endocrine and Autonomic Systems 90
- Molecular Biology 700
Countries citing papers authored by Peter Thams
This map shows the geographic impact of Peter Thams'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 Peter Thams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Thams more than expected).
Fields of papers citing papers by Peter Thams
This network shows the impact of papers produced by Peter Thams. 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 Peter Thams. The network helps show where Peter Thams may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Thams, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 83 | |
| 2 | 2003 | 83 | |
| 3 | 2009 | 78 | |
| 4 | 1977 | 77 | |
| 5 | 2014 | 73 | |
| 6 | 1987 | 61 | |
| 7 | 1992 | 55 | |
| 8 | 2012 | 50 | |
| 9 | 2006 | 50 | |
| 10 | 1986 | 50 | |
| 11 | 2018 | 47 | |
| 12 | 1990 | 45 | |
| 13 | 2011 | 41 | |
| 14 | 1984 | 38 | |
| 15 | 2002 | 30 | |
| 16 | 2006 | 28 | |
| 17 | 2001 | 28 | |
| 18 | 1982 | 23 | |
| 19 | 2019 | 20 | |
| 20 | 2005 | 20 |
About Peter Thams
Peter Thams is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Physiology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (46 papers), Metabolism, Diabetes, and Cancer (20 papers), Diet, Metabolism, and Disease (11 papers), Diabetes and associated disorders (11 papers), Diabetes Treatment and Management (8 papers), Diabetes Management and Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (359 citations), Physiology (67 citations), Surgery (641 citations), Endocrine and Autonomic Systems (90 citations) and Molecular Biology (700 citations). Peter Thams has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Kirsten Capito, C. J. Hedeskov, Hans Kofod, A. Geisler, S. E. Hansen, Jens Høiriis Nielsen, R. Klysner, Jens J. Holst, Sarah Christensen and Malene Jackerott. Their work appears in journals such as Biochemical Journal, European Journal of Endocrinology, Diabetologia, Acta Diabetologica and Molecular and Cellular Endocrinology.
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.