Val M. Cox

1.4k citations
37 papers · 857 indexed · h-index 19

Impact in

Papers in

Val M. Cox

37 papers receiving 843 citations

Peers

Val M. Cox
Comparison fields: 5 of 107
  • Rehabilitation 154
  • Orthopedics and Sports Medicine 185
  • Cell Biology 225
  • Physiology 253
  • Complementary and alternative medicine 76
Replace Shizuo Katamoto with:
Shizuo Katamoto Japan
Einat Kodesh Israel
Daniel L. Karapondo United States
Christian Doria Italy
Tanner Stokes Canada
Birgitta Glenmark Sweden
Scott Drawer United Kingdom
Péter Apor Hungary
Noel D. Duncan Australia
Dušan Hamar Slovakia
Val M. Cox relative to Shizuo Katamoto Japan Shizuo Katamoto's profile →
Citations per field
00.5×1.5×
Shizuo Katamoto · 1×
Citations per year

Countries citing papers authored by Val M. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Val M. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Val M. Cox. 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 Val M. Cox. The network helps show where Val M. Cox may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Val M. Cox, 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 Val M. Cox Line = papers co-authored together Val M. Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202032
2 20185
3 201824
4 201615
5 201516
6 201427
7 201419
8 201328
9 201315
10 201147
11 200914
12 20076
13 200435
14 200424
15 20003
16 199669
17 199622
18 19952
19 199535
20
The fibre type composition of the rabbit latissimus dorsi muscle.
19949

About Val M. Cox

Val M. Cox is a scholar working on Rehabilitation, Orthopedics and Sports Medicine, Developmental and Educational Psychology, Cell Biology and Complementary and alternative medicine, having authored 37 papers that have together received 857 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Muscle metabolism and nutrition (9 papers), Exercise and Physiological Responses (7 papers), Children's Physical and Motor Development (7 papers), Muscle activation and electromyography studies (6 papers), Coffee research and impacts (6 papers), Sports Performance and Training (5 papers) and Obesity, Physical Activity, Diet (5 papers). The work is most often cited by research in Rehabilitation (154 citations), Orthopedics and Sports Medicine (185 citations), Cell Biology (225 citations), Physiology (253 citations) and Complementary and alternative medicine (76 citations). Val M. Cox has collaborated with scholars based in United Kingdom, Australia and Japan. Frequent co-authors include Rob S. James, Jason Tallis, Michael Duncan, David F. Goldspink, Cameron Hill, David M. Lee, Frank Seebacher, S. Smith, David Mantle and Emma L. J. Eyre. Their work appears in journals such as Journal of Applied Physiology, European Journal of Applied Physiology, Journal of Experimental Biology, Biochemical Society Transactions and Canadian Journal of Physiology and Pharmacology.

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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