Peter M. van Koetsveld
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- Pituitary Gland Disorders and Treatments 29
- Growth Hormone and Insulin-like Growth Factors 17
- Neurology top 2%
- Neuroblastoma Research and Treatments 15
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances 30
- Oncology top 5%
- Lung Cancer Research Studies 11
- Pancreatic and Hepatic Oncology Research 8
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 15
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- Adrenal and Paraganglionic Tumors 12
- Co-authors
- Leo J. HoflandSteven W. J. LambertsWouter W. de HerderRichard A. FeeldersMarlijn WaaijersAart‐Jan van der LelyP. Martin van HagenDiana Sprij-Mooij
- Journals
- PLoS ONE (1 paper)The Journal of Clinical Endocrinology & Metabolism (15 papers)Cancer Research (1 paper)
- Partner nations
- NetherlandsItalyUnited States
In The Last Decade
Peter M. van Koetsveld
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 1.3k
- Neurology 456
- Epidemiology 947
- Oncology 567
- Cancer Research 267
Countries citing papers authored by Peter M. van Koetsveld
This map shows the geographic impact of Peter M. van Koetsveld'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 M. van Koetsveld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. van Koetsveld more than expected).
Fields of papers citing papers by Peter M. van Koetsveld
This network shows the impact of papers produced by Peter M. van Koetsveld. 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 M. van Koetsveld. The network helps show where Peter M. van Koetsveld may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter M. van Koetsveld, 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 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 5 | |
| 6 | 2019 | 27 | |
| 7 | 2019 | 12 | |
| 8 | 2016 | 63 | |
| 9 | 2013 | 16 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 20 | |
| 12 | 2011 | 14 | |
| 13 | 2008 | 87 | |
| 14 | 2008 | 11 | |
| 15 | 2006 | 14 | |
| 16 | 2005 | 127 | |
| 17 | 2004 | 161 | |
| 18 | 2003 | 75 | |
| 19 | 1990 | 51 | |
| 20 | 1990 | 7 |
About Peter M. van Koetsveld
Peter M. van Koetsveld is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Neurology, having authored 72 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (30 papers), Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (17 papers), Cancer, Hypoxia, and Metabolism (15 papers), Neuroblastoma Research and Treatments (15 papers), Adrenal and Paraganglionic Tumors (12 papers), Lung Cancer Research Studies (11 papers) and Pancreatic and Hepatic Oncology Research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Neurology (456 citations) and Epidemiology (947 citations). Peter M. van Koetsveld has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Leo J. Hofland, Steven W. J. Lamberts, Wouter W. de Herder, Richard A. Feelders, Marlijn Waaijers, Aart‐Jan van der Lely, P. Martin van Hagen, Diana Sprij-Mooij, Joost van der Hoek and Fadime Dogan. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.
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.