C. Goddard

2.1k citations
78 papers · 1.8k · h-index 25

Impact in

Papers in

C. Goddard

68 papers receiving 1.7k citations

Peers

C. Goddard
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 482
  • Behavioral Neuroscience 87
  • Animal Science and Zoology 263
  • Endocrine and Autonomic Systems 113
  • Equine 18
Replace Damon C. Herbert with:
Damon C. Herbert United States
Gunnar Selstam Sweden
A. F. Holstein Germany
Keitaro Yamanouchi Japan
R. E. Grindeland United States
Gerhard E. Feurle Germany
Makoto Sakamoto Japan
J. Alumets Sweden
David F. Goldspink United Kingdom
W. G. Forssmann Germany
C. Goddard relative to Damon C. Herbert United States Damon C. Herbert's profile →
Citations per field
00.5×4.0×
Damon C. Herbert · 1×
Citations per year

Countries citing papers authored by C. Goddard

Since Specialization
Citations

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

Fields of papers citing papers by C. Goddard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Goddard. 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 C. Goddard. The network helps show where C. Goddard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982247
2 199194
3 198893
4 199076
5 199474
6 198464
7
Effect of exercise in Duchenne muscular dystrophy.
198164
8 199354
9 198754
10
Prevention of deformity in Duchenne muscular dystrophy. A prospective study of passive stretching and splintage.
198153
11 199652
12 199342
13 198940
14 199038
15 199435
16 198133
17 199733
18 201931
19 199730
20 199130

About C. Goddard

C. Goddard is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Animal Science and Zoology, Genetics and Behavioral Neuroscience, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Muscle Physiology and Disorders (8 papers), Stress Responses and Cortisol (8 papers), Animal Genetics and Reproduction (8 papers), Animal Nutrition and Physiology (8 papers), Hormonal and reproductive studies (7 papers), Muscle metabolism and nutrition (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (482 citations), Behavioral Neuroscience (87 citations), Animal Science and Zoology (263 citations), Endocrine and Autonomic Systems (113 citations) and Equine (18 citations). C. Goddard has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Oona M. Scott, Victor Dubowitz, Stephanie Hyde, Michel Jacques M.J. Duclos, Ronald Wilkie, Harry Griffin, S. C. Butterwith, B. J. Whitehouse, Gavin P. Vinson and Ian Dunn. Their work appears in journals such as Journal of Endocrinology, Journal of Molecular Endocrinology, British Poultry Science, Mélanges de l École française de Rome Antiquité and Domestic Animal Endocrinology.

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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