Jan Rehwinkel

158 total papers · 15.1k total citations
73 papers, 9.8k citations indexed

About

Jan Rehwinkel is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Jan Rehwinkel has authored 73 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 43 papers in Molecular Biology and 15 papers in Infectious Diseases. Recurrent topics in Jan Rehwinkel's work include interferon and immune responses (43 papers), RNA Research and Splicing (17 papers) and RNA regulation and disease (17 papers). Jan Rehwinkel is often cited by papers focused on interferon and immune responses (43 papers), RNA Research and Splicing (17 papers) and RNA regulation and disease (17 papers). Jan Rehwinkel collaborates with scholars based in United Kingdom, Germany and United States. Jan Rehwinkel's co-authors include Elisa Izaurralde, Michaela U. Gack, Isabelle Behm‐Ansmant, Caetano Reis e Sousa, Anne Bridgeman, Peer Bork, Tobias Doerks, Yanick J. Crow, Alexander Stark and David Gatfield and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jan Rehwinkel

72 papers receiving 9.7k citations

Hit Papers

RIG-I-like receptors: the... 2006 2026 2012 2019 2020 2017 2006 2014 2018 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Jan Rehwinkel 6.3k 4.6k 1.7k 1.4k 1.2k 73 9.8k
Monsef Benkirane 4.4k 0.7× 3.1k 0.7× 996 0.6× 1.6k 1.2× 1.4k 1.2× 77 8.4k
William J. Kaiser 6.3k 1.0× 4.5k 1.0× 764 0.4× 654 0.5× 1.6k 1.3× 64 8.7k
Makoto Miyagishi 7.2k 1.1× 5.9k 1.3× 1.6k 1.0× 1.1k 0.8× 1.7k 1.4× 131 12.9k
Michaela U. Gack 3.5k 0.5× 5.1k 1.1× 721 0.4× 2.0k 1.4× 2.4k 2.0× 78 8.2k
Luís F. Moita 5.5k 0.9× 3.4k 0.7× 2.3k 1.3× 684 0.5× 759 0.6× 76 9.0k
Hal P. Bogerd 4.8k 0.8× 1.8k 0.4× 928 0.5× 1.1k 0.8× 1.2k 1.0× 78 7.2k
Tsan Sam Xiao 6.1k 1.0× 4.6k 1.0× 467 0.3× 720 0.5× 1.0k 0.8× 70 9.6k
Hiroyuki Oshiumi 3.1k 0.5× 6.1k 1.3× 1.3k 0.7× 907 0.7× 1.2k 1.0× 117 8.5k
Martin Schlee 3.7k 0.6× 4.4k 1.0× 978 0.6× 895 0.6× 1.1k 0.9× 55 7.0k
Chen Wang 3.2k 0.5× 3.4k 0.7× 1.4k 0.8× 698 0.5× 743 0.6× 86 5.8k

Countries citing papers authored by Jan Rehwinkel

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rehwinkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Rehwinkel. 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 Rehwinkel. The network helps show where Jan Rehwinkel may publish in the future.

Co-authorship network of co-authors of Jan Rehwinkel

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Rehwinkel. A scholar is included among the top collaborators of Jan Rehwinkel 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 Rehwinkel. Jan Rehwinkel 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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