Chris J. van Koppen
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- Karl H. JakobsDagmar Meyer zu HeringdorfRegina AlemanyNeil M. NathansonStefan DheinOtto-Erich BroddeMoritz BünemannLutz Pott
- Topics
- Receptor Mechanisms and Signaling (34 papers)Estrogen and related hormone effects (14 papers)Sphingolipid Metabolism and Signaling (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- GermanyNetherlandsEgypt
In The Last Decade
Chris J. van Koppen
72 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 698
- Cell Biology 593
- Endocrinology, Diabetes and Metabolism 310
- Physiology 281
Countries citing papers authored by Chris J. van Koppen
This map shows the geographic impact of Chris J. van Koppen'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 Chris J. van Koppen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris J. van Koppen more than expected).
Fields of papers citing papers by Chris J. van Koppen
This network shows the impact of papers produced by Chris J. van Koppen. 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 Chris J. van Koppen. The network helps show where Chris J. van Koppen may publish in the future.
Co-authorship network of co-authors of Chris J. van Koppen
This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. van Koppen. A scholar is included among the top collaborators of Chris J. van Koppen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris J. van Koppen. Chris J. van Koppen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 15 | |
| 4 | 38 | |
| 5 | 19 | |
| 6 | 16 | |
| 7 | 77 | |
| 8 | 28 | |
| 9 | 43 | |
| 10 | 205 | |
| 11 | 33 | |
| 12 | 76 | |
| 13 | 23 | |
| 14 | 30 | |
| 15 | 39 | |
| 16 | 30 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 20 |
About Chris J. van Koppen
Chris J. van Koppen is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (34 papers), Estrogen and related hormone effects (14 papers) and Sphingolipid Metabolism and Signaling (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (698 citations), Cell Biology (593 citations) and Molecular Biology (2.2k citations). Chris J. van Koppen has collaborated with scholars based in Germany, Netherlands and Egypt. Frequent co-authors include Karl H. Jakobs, Dagmar Meyer zu Heringdorf, Regina Alemany, Neil M. Nathanson, Stefan Dhein, Otto-Erich Brodde, Moritz Bünemann, Lutz Pott, Michael ter Braak and Oliver Vögler. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.