Chris J. van Koppen

3.5k citations
72 papers · 2.9k indexed · h-index 31

Chris J. van Koppen

72 papers receiving 2.8k citations

Peers

Chris J. van Koppen
Comparison fields: 5 of 108
  • Molecular Biology 2.2k
  • Cellular and Molecular Neuroscience 698
  • Cell Biology 593
  • Endocrinology, Diabetes and Metabolism 310
  • Physiology 281
Replace Nicole Defer with:
Nicole Defer France
Laura Riboni Italy
Alice Lin United States
Wongi Seol South Korea
Albert J. Baukal United States
Takahide Ohishi Japan
Shuh Narumiya Japan
Hitoshi Matsushime Japan
C C Malbon United States
Ian H. Batty United Kingdom
Chris J. van Koppen relative to Nicole Defer France Nicole Defer's profile →
Citations per field
00.5×3.0×
Nicole Defer · 1×
Citations per year

Countries citing papers authored by Chris J. van Koppen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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