H. M. Whyte

1.7k citations
69 papers · 1.3k · h-index 23

Impact in

Papers in

H. M. Whyte

66 papers receiving 1.0k citations

Peers

H. M. Whyte
Comparison fields: 5 of 123
  • Nephrology 165
  • Endocrinology, Diabetes and Metabolism 166
  • Physiology 250
  • Cardiology and Cardiovascular Medicine 191
  • Nutrition and Dietetics 123
Replace W. E. Miall with:
W. E. Miall United Kingdom
Janet E. Smith United States
Joseph Stokes United States
Lester F. Soyka United States
Virginia L. Hood United States
H M Mather United Kingdom
Frederick P. Zuspan United States
Louis F. Martin United States
Stephen B. Hulley United States
N Hickey Ireland
H. M. Whyte relative to W. E. Miall United Kingdom W. E. Miall's profile →
Citations per field
00.5×3.1×
W. E. Miall · 1×
Citations per year

Countries citing papers authored by H. M. Whyte

Since Specialization
Citations

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

Fields of papers citing papers by H. M. Whyte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973113
2 195976
3 196873
4 195573
5 195864
6 196262
7 195954
8
The simple measurement of obesity.
196244
9
Creatinine excretion and body composition.
195943
10 198038
11 195835
12 195933
13 197833
14 197329
15 196528
16 196128
17
The relation of blood volume to body composition.
196028
18 195827
19 196625
20 196124

About H. M. Whyte

H. M. Whyte is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Nephrology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diet and metabolism studies (6 papers), Psychosomatic Disorders and Their Treatments (5 papers), Cardiac Health and Mental Health (5 papers), Dialysis and Renal Disease Management (4 papers), Organ Donation and Transplantation (4 papers), Muscle metabolism and nutrition (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Nephrology (165 citations), Endocrinology, Diabetes and Metabolism (166 citations), Physiology (250 citations), Cardiology and Cardiovascular Medicine (191 citations) and Nutrition and Dietetics (123 citations). H. M. Whyte has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include K. D. G. Edwards, D. G. Byrne, Paul J. Nestel, D. Jeremy, Mary S. Wolfe, E.S. Finckh, A. Shulman, F. H. Shaw, Noel Cass and R. B. Goldrick. Their work appears in journals such as The Medical Journal of Australia, Journal of Psychosomatic Research, QJM, Journal of Clinical Pathology and Psychosomatic Medicine.

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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