Michael J. Caterina
- Sensory Systems top 0.01%
- Physiology top 0.05%
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 1%
- Nutrition and Dietetics top 0.1%
- Co-authors
- David JuliusMakoto TominagaJon D. LevineMark SchumacherAnnika B. MalmbergAllan I. BasbaumHyosang LeeMartin Koltzenburg
- Topics
- Ion Channels and Receptors (52 papers)Pain Mechanisms and Treatments (31 papers)Neurobiology and Insect Physiology Research (27 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Michael J. Caterina
94 papers receiving 23.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Sensory Systems 15.3k
- Physiology 9.6k
- Cellular and Molecular Neuroscience 7.3k
- Molecular Biology 6.0k
- Nutrition and Dietetics 3.0k
Countries citing papers authored by Michael J. Caterina
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 48 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 168 | |
| 13 | 43 | |
| 14 | Mechanisms of sensory transduction in the skinbreakdown → | 621 |
| 15 | 52 | |
| 16 | 97 | |
| 17 | 208 | |
| 18 | A capsaicin-receptor homologue with a high threshold for noxious heatbreakdown → | 1255 |
| 19 | 141 | |
| 20 | 38 |
About Michael J. Caterina
Michael J. Caterina is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Physiology, having authored 94 papers that have together received 24.2k indexed citations. Recurring topics across this work include Ion Channels and Receptors (52 papers), Pain Mechanisms and Treatments (31 papers) and Neurobiology and Insect Physiology Research (27 papers). The work is most often cited by research in Sensory Systems (15.3k citations), Cellular and Molecular Neuroscience (7.3k citations) and Physiology (9.6k citations). Michael J. Caterina has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include David Julius, Makoto Tominaga, Jon D. Levine, Mark Schumacher, Annika B. Malmberg, Allan I. Basbaum, Hyosang Lee, Martin Koltzenburg, Man‐Kyo Chung and William J. Martin. Their work appears in journals such as Nature, Science and Cell.
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.