Peter Kaastrup
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Surgery top 10%
- Pancreatic function and diabetes
Papers in
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- Aquaculture disease management and microbiota 5
- T-cell and B-cell Immunology 2
- Co-authors
- Cathrine Ørskov (2 shared papers)Steffen Reedtz‐Runge (2 shared papers)Rikke Kaae Kirk (1 shared paper)Anders Hvelplund (1 shared paper)R. Scott Heller (1 shared paper)Charles Pyke (1 shared paper)Dan Calatayud (1 shared paper)Lotte Bjerre Knudsen (1 shared paper)
- Journals
- Diabetes Technology & Therapeutics (3 papers)The Journal of Immunology (1 paper)Endocrinology (1 paper)Scientific Reports (1 paper)Steroids (1 paper)
- Partner nations
- DenmarkNetherlandsSweden
In The Last Decade
Peter Kaastrup
14 papers receiving 896 citations
Peter Kaastrup's Hit Papers
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 591
- Surgery 308
- Pharmacology 103
- Endocrine and Autonomic Systems 38
- Physiology 25
Countries citing papers authored by Peter Kaastrup
This map shows the geographic impact of Peter Kaastrup'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 Kaastrup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kaastrup more than expected).
Fields of papers citing papers by Peter Kaastrup
This network shows the impact of papers produced by Peter Kaastrup. 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 Kaastrup. The network helps show where Peter Kaastrup may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kaastrup, 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 | GLP-1 Receptor Localization in Monkey and Human Tissue: Novel Distribution Revealed With Extensively Validated Monoclonal Antibody Hit paper breakdown → | 2014 | 660 |
| 2 | 2001 | 52 | |
| 3 | 1989 | 31 | |
| 4 | 2009 | 31 | |
| 5 | 2006 | 29 | |
| 6 | 2016 | 24 | |
| 7 | 1987 | 24 | |
| 8 | 2009 | 23 | |
| 9 | 2009 | 20 | |
| 10 | 1988 | 19 | |
| 11 | 1991 | 9 | |
| 12 | 1983 | 5 | |
| 13 | 1990 | 3 | |
| 14 | 2001 | 1 |
About Peter Kaastrup
Peter Kaastrup is a scholar working on Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 14 papers that have together received 931 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (5 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Pancreatic function and diabetes (2 papers), T-cell and B-cell Immunology (2 papers), Body Contouring and Surgery (2 papers), Diabetes Treatment and Management (2 papers), Animal Genetics and Reproduction (2 papers) and Electrochemical sensors and biosensors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (591 citations), Surgery (308 citations), Pharmacology (103 citations), Endocrine and Autonomic Systems (38 citations) and Physiology (25 citations). Peter Kaastrup has collaborated with scholars based in Denmark, Netherlands and Sweden. Frequent co-authors include Cathrine Ørskov, Steffen Reedtz‐Runge, Rikke Kaae Kirk, Anders Hvelplund, R. Scott Heller, Charles Pyke, Dan Calatayud, Lotte Bjerre Knudsen, Linda Bardram and Bente Stallknecht. Their work appears in journals such as Diabetes Technology & Therapeutics, The Journal of Immunology, Endocrinology, Scientific Reports and Steroids.
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.