Kevin P. Campbell
- Cellular and Molecular Neuroscience top 0.02%
- Genetic Neurodegenerative Diseases 54
- Neuroscience and Neuropharmacology Research 40
- Molecular Biology top 0.01%
- Muscle Physiology and Disorders 242
- Ion channel regulation and function 120
- Cell Biology top 0.02%
- Rehabilitation top 0.02%
- Exercise and Physiological Responses 36
- Immunology and Allergy top 0.1%
-
- Adipose Tissue and Metabolism 69
-
- Cardiomyopathy and Myosin Studies 54
- Cardiac electrophysiology and arrhythmias 38
- Co-authors
- James M. ErvastiMichael D. HenrySteven D. KahlMichel De WaardKay OhlendieckKiichiro MatsumuraToshiaki ImagawaVolker Straub
- Partner nations
- United StatesJapanCanada
In The Last Decade
Kevin P. Campbell
457 papers receiving 50.7k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cellular and Molecular Neuroscience 15.0k
- Molecular Biology 43.1k
- Cell Biology 9.2k
- Rehabilitation 3.8k
- Immunology and Allergy 2.7k
Countries citing papers authored by Kevin P. Campbell
This map shows the geographic impact of Kevin P. Campbell'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 Kevin P. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin P. Campbell more than expected).
Fields of papers citing papers by Kevin P. Campbell
This network shows the impact of papers produced by Kevin P. Campbell. 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 Kevin P. Campbell. The network helps show where Kevin P. Campbell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin P. Campbell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 29 | |
| 6 | 2016 | 36 | |
| 7 | 2014 | 57 | |
| 8 | 2013 | 159 | |
| 9 | 2012 | 225 | |
| 10 | 2012 | 33 | |
| 11 | BRIEF REPORT A Dystroglycan Mutation Associated with Limb-Girdle Muscular Dystrophy | 2011 | 0 |
| 12 | 2010 | 104 | |
| 13 | 2009 | 122 | |
| 14 | 2009 | 122 | |
| 15 | 2008 | 61 | |
| 16 | 2008 | 62 | |
| 17 | 2007 | 137 | |
| 18 | 2001 | 132 | |
| 19 | 1998 | 110 | |
| 20 | 1989 | 247 |
About Kevin P. Campbell
Kevin P. Campbell is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 461 papers that have together received 51.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (242 papers), Ion channel regulation and function (120 papers), Adipose Tissue and Metabolism (69 papers), Genetic Neurodegenerative Diseases (54 papers), Cardiomyopathy and Myosin Studies (54 papers), Neuroscience and Neuropharmacology Research (40 papers), Cardiac electrophysiology and arrhythmias (38 papers) and Exercise and Physiological Responses (36 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (15.0k citations), Molecular Biology (43.1k citations) and Cell Biology (9.2k citations). Kevin P. Campbell has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include James M. Ervasti, Michael D. Henry, Steven D. Kahl, Michel De Waard, Kay Ohlendieck, Kiichiro Matsumura, Toshiaki Imagawa, Volker Straub, Madeleine Durbeej and Rita Barresi. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.