Pascal Arp
Impact in
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- Forensic and Genetic Research
- Genetic Associations and Epidemiology
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- Mitochondrial Function and Pathology
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
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- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 1
- Gene expression and cancer classification 1
- Mitochondrial Function and Pathology 1
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- Growth Hormone and Insulin-like Growth Factors 2
- Co-authors
- André G. Uitterlinden (6 shared papers)Thomas J. Parsons (1 shared paper)Manfred Kayser (1 shared paper)Michaël Verbiest (1 shared paper)Daniel Kling (1 shared paper)Athina Vidaki (1 shared paper)Giel Nijpels (2 shared papers)Leen M. ‘t Hart (2 shared papers)
- Journals
- Pharmacogenomics (2 papers)Forensic Science International Genetics (1 paper)European Journal of Human Genetics (1 paper)Brain (1 paper)Diabetes (1 paper)
- Partner nations
- NetherlandsGermanyDenmark
In The Last Decade
Pascal Arp
6 papers receiving 141 citations
Peers
Comparison fields: 5 of 41
- Genetics 53
- Molecular Biology 91
- Geriatrics and Gerontology 4
- Endocrinology, Diabetes and Metabolism 19
- Physiology 20
Countries citing papers authored by Pascal Arp
This map shows the geographic impact of Pascal Arp'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 Pascal Arp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Arp more than expected).
Fields of papers citing papers by Pascal Arp
This network shows the impact of papers produced by Pascal Arp. 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 Pascal Arp. The network helps show where Pascal Arp may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Arp, 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 | 2021 | 49 | |
| 2 | 2005 | 46 | |
| 3 | 2020 | 17 | |
| 4 | 2009 | 17 | |
| 5 | 2009 | 12 | |
| 6 | 2009 | 4 |
About Pascal Arp
Pascal Arp is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Physiology and Biochemistry, having authored 6 papers that have together received 145 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper), Genomics and Rare Diseases (1 paper), Lipid metabolism and biosynthesis (1 paper), Forensic and Genetic Research (1 paper), Gene expression and cancer classification (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Genetics (53 citations), Molecular Biology (91 citations), Geriatrics and Gerontology (4 citations), Endocrinology, Diabetes and Metabolism (19 citations) and Physiology (20 citations). Pascal Arp has collaborated with scholars based in Netherlands, Germany and Denmark. Frequent co-authors include André G. Uitterlinden, Thomas J. Parsons, Manfred Kayser, Michaël Verbiest, Daniel Kling, Athina Vidaki, Giel Nijpels, Leen M. ‘t Hart, Torben Hansen and Oluf Pedersen. Their work appears in journals such as Pharmacogenomics, Forensic Science International Genetics, European Journal of Human Genetics, Brain and Diabetes.
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.