Kevin McCall
Impact in
- Developmental Biology top 10%
-
- Neurogenetic and Muscular Disorders Research
- Connective tissue disorders research
Papers in
-
- Muscle Physiology and Disorders 2
- TGF-β signaling in diseases 1
- Congenital heart defects research 1
- Genetics 3
- Neurogenetic and Muscular Disorders Research 3
- Co-authors
- Christina A. Gurnett (7 shared papers)David M. Alvarado (5 shared papers)Matthew B. Dobbs (5 shared papers)Jillian G. Buchan (2 shared papers)Tiebing Liang (3 shared papers)Lucinda G. Carr (3 shared papers)Mark W. Kimpel (2 shared papers)Howard J. Edenberg (2 shared papers)
- Journals
- Human Molecular Genetics (3 papers)Nature Methods (1 paper)Human Genomics (1 paper)The American Journal of Human Genetics (1 paper)Annals of Clinical and Translational Neurology (1 paper)
- Partner nations
- United StatesUnited KingdomTrinidad and Tobago
In The Last Decade
Kevin McCall
11 papers receiving 351 citations
Peers
Comparison fields: 5 of 71
- Developmental Biology 20
- Genetics 61
- Orthopedics and Sports Medicine 26
- Cardiology and Cardiovascular Medicine 64
- Genetics 77
Countries citing papers authored by Kevin McCall
This map shows the geographic impact of Kevin McCall'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 McCall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin McCall more than expected).
Fields of papers citing papers by Kevin McCall
This network shows the impact of papers produced by Kevin McCall. 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 McCall. The network helps show where Kevin McCall may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin McCall, 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 | 2010 | 87 | |
| 2 | 2010 | 61 | |
| 3 | 2015 | 53 | |
| 4 | 2013 | 47 | |
| 5 | 2016 | 30 | |
| 6 | 2007 | 30 | |
| 7 | 2010 | 23 | |
| 8 | 2016 | 11 | |
| 9 | Sectoral Market Mechanisms: Issues for Negotiation and Domestic Implementation | 2009 | 9 |
| 10 | 2023 | 7 | |
| 11 | 2009 | 1 |
About Kevin McCall
Kevin McCall is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Surgery, having authored 11 papers that have together received 359 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (3 papers), Muscle Physiology and Disorders (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Diet and metabolism studies (1 paper), Chromosomal and Genetic Variations (1 paper), TGF-β signaling in diseases (1 paper) and Congenital heart defects research (1 paper). The work is most often cited by research in Developmental Biology (20 citations), Genetics (61 citations), Orthopedics and Sports Medicine (26 citations), Cardiology and Cardiovascular Medicine (64 citations) and Genetics (77 citations). Kevin McCall has collaborated with scholars based in United States, United Kingdom and Trinidad and Tobago. Frequent co-authors include Christina A. Gurnett, David M. Alvarado, Matthew B. Dobbs, Jillian G. Buchan, Tiebing Liang, Lucinda G. Carr, Mark W. Kimpel, Howard J. Edenberg, Jeanette N. McClintick and Anne M. Connolly. Their work appears in journals such as Human Molecular Genetics, Nature Methods, Human Genomics, The American Journal of Human Genetics and Annals of Clinical and Translational Neurology.
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.