Kris Gevaert

33.6k total citations
429 papers, 22.3k citations indexed

About

Kris Gevaert is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Kris Gevaert has authored 429 papers receiving a total of 22.3k indexed citations (citations by other indexed papers that have themselves been cited), including 310 papers in Molecular Biology, 105 papers in Spectroscopy and 67 papers in Plant Science. Recurrent topics in Kris Gevaert's work include Advanced Proteomics Techniques and Applications (101 papers), Mass Spectrometry Techniques and Applications (64 papers) and Peptidase Inhibition and Analysis (56 papers). Kris Gevaert is often cited by papers focused on Advanced Proteomics Techniques and Applications (101 papers), Mass Spectrometry Techniques and Applications (64 papers) and Peptidase Inhibition and Analysis (56 papers). Kris Gevaert collaborates with scholars based in Belgium, United States and United Kingdom. Kris Gevaert's co-authors include Joël Vandekerckhove, Petra Van Damme, Lennart Martens, An Staes, Thomas Arnesen, Evy Timmerman, Kenny Helsens, Ive De Smet, Jo Van Damme and Hans Demol and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kris Gevaert

419 papers receiving 22.1k citations

Peers

Kris Gevaert
Comparison fields: 5 of 167
  • Molecular Biology 14.9k
  • Plant Science 3.7k
  • Oncology 3.4k
  • Spectroscopy 3.3k
  • Cancer Research 2.4k
Replace Michael P. Washburn with:
Michael P. Washburn United States
Laurence Florens United States
Scott A. Gerber United States
Joël Vandekerckhove Belgium
Yasushi Ishihama Japan
Juri Rappsilber United Kingdom
Darryl Pappin United Kingdom
Ole N. Jensen Denmark
James A. Wohlschlegel United States
Anne‐Claude Gingras Canada
Michael P. Washburn United States View profile →
Citations per field, relative to Kris Gevaert
Kris Gevaert · 1×
Citations per year, relative to Kris Gevaert
Kris Gevaert · 1×

Countries citing papers authored by Kris Gevaert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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.

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