R. M. Siervogel
- Public Health, Environmental and Occupational Health top 1%
- Physiology top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Genetics top 10%
- General Health Professions top 5%
- Co-authors
- AF RocheBradford TowneEllen W. DemerathJ. GardnerAlex F. RocheW. C. ChumleaA. F. WilsonChenghui Huang
- Topics
- Body Composition Measurement Techniques (15 papers)Obesity, Physical Activity, Diet (10 papers)Thermoregulation and physiological responses (8 papers)
- Partner nations
- United StatesBelgiumFrance
In The Last Decade
R. M. Siervogel
62 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Public Health, Environmental and Occupational Health 1.2k
- Physiology 820
- Pediatrics, Perinatology and Child Health 558
- Genetics 338
- General Health Professions 288
Countries citing papers authored by R. M. Siervogel
This map shows the geographic impact of R. M. Siervogel'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 R. M. Siervogel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Siervogel more than expected).
Fields of papers citing papers by R. M. Siervogel
This network shows the impact of papers produced by R. M. Siervogel. 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 R. M. Siervogel. The network helps show where R. M. Siervogel may publish in the future.
Co-authorship network of co-authors of R. M. Siervogel
This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Siervogel. A scholar is included among the top collaborators of R. M. Siervogel 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 R. M. Siervogel. R. M. Siervogel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 121 | |
| 2 | 56 | |
| 3 | 95 | |
| 4 | 116 | |
| 5 | 288 | |
| 6 | 9 | |
| 7 | 85 | |
| 8 | 59 | |
| 9 | 3 | |
| 10 | Inter-machine and inter-method differences in body composition measures from dual energy X-ray absorptiometry | 12 |
| 11 | 53 | |
| 12 | 84 | |
| 13 | 43 | |
| 14 | 65 | |
| 15 | 23 | |
| 16 | 3 | |
| 17 | Sibling correlations for cranial measurements from serial radiographs. | 11 |
| 18 | 19 | |
| 19 | Genetic analysis of common diseases: Applications to predictive factors in coronary disease | 104 |
| 20 | 24 |
About R. M. Siervogel
R. M. Siervogel is a scholar working on Physiology, Equine and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (15 papers), Obesity, Physical Activity, Diet (10 papers) and Thermoregulation and physiological responses (8 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.2k citations), Pharmacy (192 citations) and Physiology (820 citations). R. M. Siervogel has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include AF Roche, Bradford Towne, Ellen W. Demerath, J. Gardner, Alex F. Roche, W. C. Chumlea, A. F. Wilson, Chenghui Huang, William Cameron Chumlea and S. Czerwiński. Their work appears in journals such as American Journal of Clinical Nutrition, Genetics and Annals of the New York Academy of Sciences.
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.