M U Yang

559 citations
11 papers · 443 · h-index 9

Impact in

  • Physiology top 10%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Body Composition Measurement Techniques
    • Nutrition and Health in Aging
  • Cell Biology top 10%
    • Muscle metabolism and nutrition

Papers in

    • Diet and metabolism studies 7
    • Body Composition Measurement Techniques 2
    • Adipose Tissue and Metabolism 2
    • Thermoregulation and physiological responses 1
    • Muscle metabolism and nutrition 5

M U Yang

11 papers receiving 393 citations

Peers

M U Yang
Comparison fields: 5 of 63
  • Physiology 340
  • Cell Biology 141
  • Endocrine and Autonomic Systems 38
  • Public Health, Environmental and Occupational Health 133
  • Endocrinology, Diabetes and Metabolism 68
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Després Jp Canada
D Lacatîş Switzerland
Sharleen Matter United States
J. Després Canada
Véronique Di Vetta Switzerland
C. A. Trowbridge United States
WH Saris Netherlands
R Rozen France
E Nassar United States
ET Poehlman United States
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Citations per year

Countries citing papers authored by M U Yang

Since Specialization
Citations

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

Fields of papers citing papers by M U Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside M U Yang, 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 M U Yang Line = papers co-authored together M U Yang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1976140
2 1985105
3 198447
4 198442
5 198330
6 197721
7 197621
8
Metabolic effects of substituting carbohydrate for protein in a low-calorie diet: a prolonged study in obese patients.
198121
9 198810
10 19845
11
Accurate prediction of large amounts of weight loss in severely obese patients
19951

About M U Yang

M U Yang is a scholar working on Physiology, Cell Biology, Public Health, Environmental and Occupational Health, Pharmacology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 443 indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), Muscle metabolism and nutrition (5 papers), Nutritional Studies and Diet (4 papers), Body Composition Measurement Techniques (2 papers), Adipose Tissue and Metabolism (2 papers), Diet, Metabolism, and Disease (1 paper), Obesity, Physical Activity, Diet (1 paper) and Thermoregulation and physiological responses (1 paper). The work is most often cited by research in Physiology (340 citations), Cell Biology (141 citations), Endocrine and Autonomic Systems (38 citations), Public Health, Environmental and Occupational Health (133 citations) and Endocrinology, Diabetes and Metabolism (68 citations). M U Yang has collaborated with scholars based in United States and China. Frequent co-authors include Theodore B. Van Itallie, Richard N. Pierson, Robert Birch, Robert S. Bernstein, R L Weinsier, E Presta, Per Björntorp, M Lavau, F X Pi-Sunyer and S.A. Hashim. Their work appears in journals such as American Journal of Clinical Nutrition, Hypertension, Journal of Clinical Investigation, The FASEB Journal and Journal of Applied 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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