Gary R. Coulton

2.6k citations
41 papers · 2.1k indexed · 1 hit paper · h-index 20

Gary R. Coulton

40 papers receiving 2.1k citations

Hit Papers

Conversion of mdx myofibres from dystrophin-negative to -...6791989202620012013200400600

Peers

Gary R. Coulton
Comparison fields: 5 of 93
  • Genetics 374
  • Rehabilitation 175
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 320
  • Aging 28
Replace Diana J. Watt with:
Diana J. Watt United Kingdom
Andrei B. Borisov United States
Federica Montanaro United States
Louise R. Rodino‐Klapac United States
Francesca Andreetta Italy
Anne Bigot France
Yusuke Ono Japan
Katsutoshi Yuasa Japan
En Kimura Japan
Lawrence T. Bish United States
Gary R. Coulton relative to Diana J. Watt United Kingdom Diana J. Watt's profile →
Citations per field
00.5×1.5×1.8×
Diana J. Watt · 1×
Citations per year

Countries citing papers authored by Gary R. Coulton

Since Specialization
Citations

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

Fields of papers citing papers by Gary R. Coulton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary R. Coulton. 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 Gary R. Coulton. The network helps show where Gary R. Coulton may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gary R. Coulton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gary R. Coulton Line = papers co-authored together Gary R. Coulton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201650
2 20138
3 20077
4 200733
5 200624
6 200533
7 200415
8 200337
9 200214
10 200111
11 200144
12 200024
13 2000107
14 19962
15 199510
16 199230
17
Conversion of mdx myofibres from dystrophin-negative to -positive by injection of normal myoblastsbreakdown →
1989679
18 19887
19 1988302
20 1988142

About Gary R. Coulton

Gary R. Coulton is a scholar working on Equine, Aging and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Cardiomyopathy and Myosin Studies (12 papers), Nerve injury and regeneration (4 papers), Congenital heart defects research (3 papers), Muscle activation and electromyography studies (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (374 citations), Rehabilitation (175 citations) and Molecular Biology (1.7k citations). Gary R. Coulton has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Jennifer E. Morgan, Eric P. Hoffman, Terence A. Partridge, T. Partridge, Louis M. Kunkel, J. C. Sloper, N. A. Curtin, Robert A. Brown, M. Simon and G. Terenghi. Their work appears in journals such as Nature, The Journal of Cell Biology and PLoS ONE.

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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