Kris Gevaert
About
In The Last Decade
Kris Gevaert
419 papers receiving 22.1k citations
Peers
Comparison fields: 5 of 167
- Molecular Biology 14.9k
- Plant Science 3.7k
- Oncology 3.4k
- Spectroscopy 3.3k
- Cancer Research 2.4k
Countries citing papers authored by Kris Gevaert
This map shows the geographic impact of Kris Gevaert'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 Kris Gevaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kris Gevaert more than expected).
Fields of papers citing papers by Kris Gevaert
This network shows the impact of papers produced by Kris Gevaert. 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 Kris Gevaert. The network helps show where Kris Gevaert may publish in the future.
Co-authorship network of co-authors of Kris Gevaert
This figure shows the co-authorship network connecting the top 25 collaborators of Kris Gevaert. A scholar is included among the top collaborators of Kris Gevaert 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 Kris Gevaert. Kris Gevaert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 14 | |
| 10 | 84 | |
| 11 | 179 | |
| 12 | 118 | |
| 13 | 12 | |
| 14 | 32 | |
| 15 | 12 | |
| 16 | 140 | |
| 17 | 64 | |
| 18 | 278 | |
| 19 | The miR-17-92 microRNA cluster regulates multiple components of the TGF-β pathway in neuroblastoma | 41 |
| 20 | 10 |
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.