Michael J. Caterina

129 total papers · 31.4k total citations
94 papers, 24.1k citations indexed

About

Michael J. Caterina is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Michael J. Caterina has authored 94 papers receiving a total of 24.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Sensory Systems, 42 papers in Cellular and Molecular Neuroscience and 39 papers in Physiology. Recurrent topics in Michael J. Caterina's work include Ion Channels and Receptors (52 papers), Pain Mechanisms and Treatments (31 papers) and Neurobiology and Insect Physiology Research (27 papers). Michael J. Caterina is often cited by papers focused on Ion Channels and Receptors (52 papers), Pain Mechanisms and Treatments (31 papers) and Neurobiology and Insect Physiology Research (27 papers). Michael J. Caterina collaborates with scholars based in United States, Japan and United Kingdom. Michael J. Caterina's co-authors include David Julius, Makoto Tominaga, Mark Schumacher, Jon D. Levine, Allan I. Basbaum, Annika B. Malmberg, Hyosang Lee, Martin Koltzenburg, Man‐Kyo Chung and Andreas Leffler and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael J. Caterina

94 papers receiving 23.6k citations

Hit Papers

The capsaicin receptor: a... 1997 2026 2006 2016 1997 2000 1998 1999 2001 2.0k 4.0k 6.0k

Author Peers

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

Author Last Decade Papers Cites
Michael J. Caterina 15.3k 9.6k 7.3k 6.0k 3.0k 94 24.1k
Makoto Tominaga 16.9k 1.1× 10.2k 1.1× 7.8k 1.1× 7.8k 1.3× 4.3k 1.5× 402 30.7k
Stuart Bevan 8.5k 0.6× 6.7k 0.7× 6.2k 0.9× 5.2k 0.9× 1.8k 0.6× 135 17.5k
Thomas Voets 13.2k 0.9× 3.9k 0.4× 6.1k 0.8× 9.3k 1.6× 4.4k 1.5× 250 22.7k
Ardem Patapoutian 13.2k 0.9× 13.9k 1.4× 8.8k 1.2× 12.5k 2.1× 2.9k 1.0× 112 33.0k
Bernd Nilius 19.7k 1.3× 6.3k 0.7× 9.1k 1.2× 16.3k 2.7× 6.8k 2.3× 412 36.4k
David Julius 27.1k 1.8× 18.1k 1.9× 18.3k 2.5× 17.8k 3.0× 6.1k 2.1× 136 55.9k
Allan I. Basbaum 10.7k 0.7× 26.6k 2.8× 21.0k 2.9× 11.7k 1.9× 1.9k 0.6× 296 46.0k
Diana M. Bautista 7.4k 0.5× 5.4k 0.6× 4.4k 0.6× 3.1k 0.5× 1.4k 0.5× 59 14.9k
Wolfgang Liedtke 5.9k 0.4× 4.2k 0.4× 2.2k 0.3× 5.1k 0.8× 1.3k 0.5× 160 15.7k
Peter Holzer 3.3k 0.2× 7.1k 0.7× 9.5k 1.3× 7.1k 1.2× 1.5k 0.5× 351 21.6k

Countries citing papers authored by Michael J. Caterina

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Caterina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Caterina. 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 Michael J. Caterina. The network helps show where Michael J. Caterina may publish in the future.

Co-authorship network of co-authors of Michael J. Caterina

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Caterina. A scholar is included among the top collaborators of Michael J. Caterina 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 Michael J. Caterina. Michael J. Caterina 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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