Stephan Kemp
- Clinical Biochemistry top 0.1%
- Metabolism and Genetic Disorders 52
- Molecular Biology top 0.5%
- Peroxisome Proliferator-Activated Receptors 84
- RNA modifications and cancer 7
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology 11
- Lipid metabolism and biosynthesis 7
- Physiology top 0.5%
- Adipose Tissue and Metabolism 29
- Adenosine and Purinergic Signaling 9
- Physiology top 1%
- Adipose Tissue and Metabolism 29
- Adenosine and Purinergic Signaling 9
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- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Albert H. GennipAndré B. P. KuilenburgHuib N. CaronRonald J. A. WandersMarc EngelenBwee Tien Poll‐ThePatrick AubourgBjörn M. van Geel
- Journals
- Molecular Genetics and Metabolism (7 papers)Journal of Inherited Metabolic Disease (7 papers)Human Molecular Genetics (5 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Stephan Kemp
108 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Clinical Biochemistry 1.6k
- Molecular Biology 6.3k
- Biochemistry 660
- Physiology 341
- Physiology 1.5k
Countries citing papers authored by Stephan Kemp
This map shows the geographic impact of Stephan Kemp'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 Stephan Kemp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Kemp more than expected).
Fields of papers citing papers by Stephan Kemp
This network shows the impact of papers produced by Stephan Kemp. 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 Stephan Kemp. The network helps show where Stephan Kemp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephan Kemp, 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 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 29 | |
| 15 | 2020 | 9 | |
| 16 | 2017 | 47 | |
| 17 | 2017 | 37 | |
| 18 | 2010 | 76 | |
| 19 | 2005 | 86 | |
| 20 | 2003 | 123 |
About Stephan Kemp
Stephan Kemp is a scholar working on Clinical Biochemistry, Biochemistry, Physiology, Molecular Biology and Physiology, having authored 110 papers that have together received 7.5k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (84 papers), Metabolism and Genetic Disorders (52 papers), Adipose Tissue and Metabolism (29 papers), Eicosanoids and Hypertension Pharmacology (11 papers), Adenosine and Purinergic Signaling (9 papers), Drug Transport and Resistance Mechanisms (7 papers), Lipid metabolism and biosynthesis (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Clinical Biochemistry (1.6k citations), Molecular Biology (6.3k citations), Biochemistry (660 citations), Physiology (341 citations) and Physiology (1.5k citations). Stephan Kemp has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Albert H. Gennip, André B. P. Kuilenburg, Huib N. Caron, Ronald J. A. Wanders, Marc Engelen, Bwee Tien Poll‐The, Patrick Aubourg, Björn M. van Geel, Rob Ofman and Johannes Berger. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease, Human Molecular Genetics, 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.