Stanley Heshka
- Physiology top 0.1%
- Public Health, Environmental and Occupational Health top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Co-authors
- Steven B. HeymsfieldDympna GallagherZiMian WangShankuan ZhuJeanine AlbuWei ShenMercedes R. CarnethonLatha Palaniappan
- Topics
- Body Composition Measurement Techniques (47 papers)Nutrition and Health in Aging (35 papers)Diet and metabolism studies (29 papers)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Stanley Heshka
120 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Physiology 7.0k
- Public Health, Environmental and Occupational Health 3.5k
- Endocrinology, Diabetes and Metabolism 2.3k
- Surgery 1.7k
- Cardiology and Cardiovascular Medicine 1.5k
Countries citing papers authored by Stanley Heshka
This map shows the geographic impact of Stanley Heshka'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 Stanley Heshka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Heshka more than expected).
Fields of papers citing papers by Stanley Heshka
This network shows the impact of papers produced by Stanley Heshka. 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 Stanley Heshka. The network helps show where Stanley Heshka may publish in the future.
Co-authorship network of co-authors of Stanley Heshka
This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Heshka. A scholar is included among the top collaborators of Stanley Heshka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stanley Heshka. Stanley Heshka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 31 | |
| 4 | 27 | |
| 5 | 41 | |
| 6 | 45 | |
| 7 | 41 | |
| 8 | 15 | |
| 9 | 46 | |
| 10 | 171 | |
| 11 | 34 | |
| 12 | 60 | |
| 13 | 42 | |
| 14 | 64 | |
| 15 | 92 | |
| 16 | 56 | |
| 17 | 83 | |
| 18 | 87 | |
| 19 | 60 | |
| 20 | Resting metabolic rate after weight loss in obese patients | 4 |
About Stanley Heshka
Stanley Heshka is a scholar working on Physiology, Pharmacy and Public Health, Environmental and Occupational Health, having authored 122 papers that have together received 12.8k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (47 papers), Nutrition and Health in Aging (35 papers) and Diet and metabolism studies (29 papers). The work is most often cited by research in Physiology (7.0k citations), Pharmacy (806 citations) and Geriatrics and Gerontology (608 citations). Stanley Heshka has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Steven B. Heymsfield, Dympna Gallagher, ZiMian Wang, Shankuan Zhu, Jeanine Albu, Wei Shen, Mercedes R. Carnethon, Latha Palaniappan, Marie‐Pierre St‐Onge and Mark Punyanitya. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.