Jan Eggermont
About
In The Last Decade
Jan Eggermont
115 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 4.0k
- Cellular and Molecular Neuroscience 1.4k
- Cardiology and Cardiovascular Medicine 857
- Physiology 811
- Cell Biology 675
Countries citing papers authored by Jan Eggermont
This map shows the geographic impact of Jan Eggermont'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 Jan Eggermont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Eggermont more than expected).
Fields of papers citing papers by Jan Eggermont
This network shows the impact of papers produced by Jan Eggermont. 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 Jan Eggermont. The network helps show where Jan Eggermont may publish in the future.
Co-authorship network of co-authors of Jan Eggermont
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Eggermont. A scholar is included among the top collaborators of Jan Eggermont 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 Jan Eggermont. Jan Eggermont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 74 | |
| 4 | 216 | |
| 5 | 15 | |
| 6 | 23 | |
| 7 | 38 | |
| 8 | 215 | |
| 9 | 10 | |
| 10 | The RhoA signaling pathway exerts a permissive, not a causative effect on the activation of the volume-regulated anion channel (VRAC) in macrovascular endothelial cells | 1 |
| 11 | 20 | |
| 12 | 33 | |
| 13 | 110 | |
| 14 | 161 | |
| 15 | 108 | |
| 16 | 24 | |
| 17 | 317 | |
| 18 | 11 | |
| 19 | 27 | |
| 20 | 93 |
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.