David S. Gray

541 citations
17 papers · 403 · h-index 8

Impact in

Papers in

    • Body Composition Measurement Techniques 3
    • Nutrition and Health in Aging 2
    • Bariatric Surgery and Outcomes 2

David S. Gray

15 papers receiving 367 citations

Peers

David S. Gray
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 67
  • Physiology 90
  • Pharmacy 15
  • Endocrine and Autonomic Systems 19
  • Public Health, Environmental and Occupational Health 66
Replace Tuck Seng Cheng with:
Tuck Seng Cheng United Kingdom
Stefano Valente Italy
Alvina R. Kansra United States
Ann De Guchtenaere Belgium
Kristen J. Koltun United States
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Karen J. Campoverde Reyes United States
Bhavik Mistry Canada
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Citations per field
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Citations per year

Countries citing papers authored by David S. Gray

Since Specialization
Citations

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

Fields of papers citing papers by David S. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1991121
2 1989118
3 199152
4 196935
5 198529
6 200015
7 20068
8 19897
9 20185
10 20213
11 20203
12 19933
13
Part 1. Pressure ulcer prevention. Best practice statements.
20022
14 19901
15 19851
16 19890
17 19920

About David S. Gray

David S. Gray is a scholar working on Physiology, Surgery, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Molecular Biology, having authored 17 papers that have together received 403 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (3 papers), Clinical Nutrition and Gastroenterology (3 papers), Thyroid Disorders and Treatments (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Bariatric Surgery and Outcomes (2 papers), Nutrition and Health in Aging (2 papers), Advanced Radiotherapy Techniques (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (67 citations), Physiology (90 citations), Pharmacy (15 citations), Endocrine and Autonomic Systems (19 citations) and Public Health, Environmental and Occupational Health (66 citations). David S. Gray has collaborated with scholars based in United States, Netherlands and Türkiye. Frequent co-authors include Ken Fujioka, Allen E. Cahill, John T. Nicoloff, Jonathan S. LoPresti, David G. Kimmel, Thomas L. Pannabecker, Daniel J. Aneshansley, Klaus W. Beyenbach, Ricard Masia and Ming‐Jiun Yu. Their work appears in journals such as Journal of Parenteral and Enteral Nutrition, Journal of the American College of Nutrition, Scientific Reports, Metabolism and The Journal of Clinical Endocrinology & Metabolism.

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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