M U Yang
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 10%
- Diet and metabolism studies
- Body Composition Measurement Techniques
- Dietary Effects on Health
Papers in
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- Body Composition Measurement Techniques 3
- Diet and metabolism studies 3
-
- Regulation of Appetite and Obesity 2
- Co-authors
- Theodore B. Van Itallie (7 shared papers)Jack P Wang (3 shared papers)Richard N. Pierson (2 shared papers)Robert Birch (1 shared paper)Robert S. Bernstein (1 shared paper)R L Weinsier (1 shared paper)Per A Björntorp (2 shared papers)E Presta (2 shared papers)
- Journals
- American Journal of Clinical Nutrition (4 papers)Journal of Clinical Investigation (1 paper)Journal of Nutrition (1 paper)Hypertension (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United States
In The Last Decade
M U Yang
11 papers receiving 405 citations
Peers
Comparison fields: 5 of 46
- Endocrine and Autonomic Systems 70
- Physiology 240
- Endocrinology, Diabetes and Metabolism 79
- Cell Biology 42
- Cardiology and Cardiovascular Medicine 71
Countries citing papers authored by M U Yang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 156 | |
| 2 | 1985 | 105 | |
| 3 | 1984 | 57 | |
| 4 | 1984 | 44 | |
| 5 | 1983 | 31 | |
| 6 | Metabolic effects of substituting carbohydrate for protein in a low-calorie diet: a prolonged study in obese patients. | 1981 | 24 |
| 7 | 1977 | 23 | |
| 8 | 1976 | 22 | |
| 9 | 1988 | 11 | |
| 10 | 1984 | 5 | |
| 11 | Accurate prediction of large amounts of weight loss in severely obese patients | 1995 | 2 |
About M U Yang
M U Yang is a scholar working on Physiology, Endocrine and Autonomic Systems, Cell Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 480 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (3 papers), Diet and metabolism studies (3 papers), Regulation of Appetite and Obesity (2 papers), Muscle metabolism and nutrition (2 papers), Cardiovascular Function and Risk Factors (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Clinical Nutrition and Gastroenterology (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (70 citations), Physiology (240 citations), Endocrinology, Diabetes and Metabolism (79 citations), Cell Biology (42 citations) and Cardiology and Cardiovascular Medicine (71 citations). M U Yang has collaborated with scholars based in United States. Frequent co-authors include Theodore B. Van Itallie, Jack P Wang, Richard N. Pierson, Robert Birch, Robert S. Bernstein, R L Weinsier, Per A Björntorp, E Presta, F X Pi-Sunyer and Marcelle M. Lavau. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Clinical Investigation, Journal of Nutrition, Hypertension and The FASEB Journal.
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.