Sarah D. Gray

41 papers receiving 821 citations

Peers

Sarah D. Gray
Comparison fields: 5 of 100
  • Complementary and alternative medicine 125
  • Cardiology and Cardiovascular Medicine 239
  • Physiology 272
  • Cell Biology 117
  • Orthopedics and Sports Medicine 56
Replace Bahman Chavoshan with:
Bahman Chavoshan United States
G. Gauquelin France
Morten A. Høydal Norway
Raymond M. Kraus United States
S. F. Hobbs United States
Arne Martinsson Sweden
Börje Johansson Sweden
C. Y. Guezennec France
О. С. Тарасова Russia
L G Jones United States
Sarah D. Gray relative to Bahman Chavoshan United States Bahman Chavoshan's profile →
Citations per field
00.5×3.5×
Bahman Chavoshan · 1×
Citations per year

Countries citing papers authored by Sarah D. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Sarah D. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah D. Gray. 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 Sarah D. Gray. The network helps show where Sarah D. Gray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978104
2 1973101
3 198480
4 198278
5 198863
6 198150
7 198536
8 198229
9 198329
10 198325
11 199425
12 198723
13 197121
14 199420
15 198818
16 199417
17 198416
18 196812
19 198912
20 200911

About Sarah D. Gray

Sarah D. Gray is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Complementary and alternative medicine, having authored 44 papers that have together received 868 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Muscle Physiology and Disorders (8 papers), Birth, Development, and Health (7 papers), Muscle metabolism and nutrition (6 papers), Cardiovascular and exercise physiology (6 papers), Ion channel regulation and function (6 papers), Muscle activation and electromyography studies (5 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Complementary and alternative medicine (125 citations), Cardiology and Cardiovascular Medicine (239 citations), Physiology (272 citations), Cell Biology (117 citations) and Orthopedics and Sports Medicine (56 citations). Sarah D. Gray has collaborated with scholars based in United States and Sweden. Frequent co-authors include Eugene M. Renkin, Richard C. Carlsen, E. M. Renkin, O Hudlická, Aisar Atrakchi, Paul F. McDonagh, Robert W. Gore, Joel G. Pickar, Ingrid H. Sarelius and L. C. Maxwell. Their work appears in journals such as Microvascular Research, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Cell Physiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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