Chris S. Vink

49 total papers · 1.5k total citations
24 papers, 1.1k citations indexed

About

Chris S. Vink is a scholar working on Cell Biology, Immunology and Molecular Biology. According to data from OpenAlex, Chris S. Vink has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cell Biology, 15 papers in Immunology and 14 papers in Molecular Biology. Recurrent topics in Chris S. Vink's work include Zebrafish Biomedical Research Applications (20 papers), Immune cells in cancer (9 papers) and Epigenetics and DNA Methylation (6 papers). Chris S. Vink is often cited by papers focused on Zebrafish Biomedical Research Applications (20 papers), Immune cells in cancer (9 papers) and Epigenetics and DNA Methylation (6 papers). Chris S. Vink collaborates with scholars based in United Kingdom, Netherlands and United States. Chris S. Vink's co-authors include Elaine Dzierzak, Tomoko Yamada-Inagawa, Nancy A. Speck, Parham Solaimani Kartalaei, Reinier van der Linden, Samanta A. Mariani, Emma de Pater, Polynikis Kaimakis, Tomomasa Yokomizo and Michael Chen and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Chris S. Vink

24 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris S. Vink 658 627 479 378 103 24 1.1k
Joanna Tober 630 1.0× 675 1.1× 436 0.9× 409 1.1× 93 0.9× 19 1.2k
Amanda D. Yzaguirre 866 1.3× 790 1.3× 500 1.0× 353 0.9× 136 1.3× 17 1.4k
Jenna M. Frame 531 0.8× 512 0.8× 461 1.0× 266 0.7× 121 1.2× 19 1.1k
Samir Taoudi 926 1.4× 732 1.2× 437 0.9× 541 1.4× 157 1.5× 23 1.4k
W. Christopher Shelley 455 0.7× 667 1.1× 437 0.9× 393 1.0× 136 1.3× 42 1.4k
Tomoko Yamada-Inagawa 523 0.8× 633 1.0× 276 0.6× 252 0.7× 74 0.7× 17 1.0k
Claire Pouget 691 1.1× 702 1.1× 286 0.6× 237 0.6× 60 0.6× 21 1.0k
Christophe Lancrin 766 1.2× 889 1.4× 370 0.8× 408 1.1× 100 1.0× 22 1.3k
Kirsten A. Turlo 564 0.9× 571 0.9× 215 0.4× 181 0.5× 78 0.8× 10 995
Génève Awong 422 0.6× 762 1.2× 483 1.0× 207 0.5× 46 0.4× 19 1.3k

Countries citing papers authored by Chris S. Vink

Since Specialization
Citations

This map shows the geographic impact of Chris S. Vink'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 S. Vink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris S. Vink more than expected).

Fields of papers citing papers by Chris S. Vink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris S. Vink. 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 S. Vink. The network helps show where Chris S. Vink may publish in the future.

Co-authorship network of co-authors of Chris S. Vink

This figure shows the co-authorship network connecting the top 25 collaborators of Chris S. Vink. A scholar is included among the top collaborators of Chris S. Vink 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 S. Vink. Chris S. Vink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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