R. Robbi
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Co-authors
- F ArmelliniMauro ZamboniOttavio BoselloTiziana TodescoL. RigoMassimo De MarchiI A Bergamo-AndreisMonica Marchi
- Topics
- Body Composition Measurement Techniques (6 papers)Muscle metabolism and nutrition (3 papers)Cardiovascular Disease and Adiposity (3 papers)
- Partner nations
- Italy
In The Last Decade
R. Robbi
11 papers receiving 519 citations
Peers
Comparison fields: 5 of 69
- Physiology 298
- Cardiology and Cardiovascular Medicine 161
- Endocrinology, Diabetes and Metabolism 141
- Epidemiology 125
- Public Health, Environmental and Occupational Health 124
Countries citing papers authored by R. Robbi
This map shows the geographic impact of R. Robbi'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. Robbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Robbi more than expected).
Fields of papers citing papers by R. Robbi
This network shows the impact of papers produced by R. Robbi. 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. Robbi. The network helps show where R. Robbi may publish in the future.
Co-authorship network of co-authors of R. Robbi
This figure shows the co-authorship network connecting the top 25 collaborators of R. Robbi. A scholar is included among the top collaborators of R. Robbi 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. Robbi. R. Robbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 15 | |
| 3 | 21 | |
| 4 | Alcohol consumption, smoking habits and body fat distribution in Italian men and women aged 20-60 years. | 22 |
| 5 | 10 | |
| 6 | Total and intra-abdominal fat measurements by ultrasound and computerized tomography. | 140 |
| 7 | 31 | |
| 8 | 26 | |
| 9 | Body fat distribution in pre- and post-menopausal women: metabolic and anthropometric variables and their inter-relationships. | 168 |
| 10 | Sonography detection of small intra-abdominal fat variations. | 76 |
| 11 | [Value of echography in the measurement of changes in the total and visceral adipose mass]. | 3 |
About R. Robbi
R. Robbi is a scholar working on Physiology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 549 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (6 papers), Muscle metabolism and nutrition (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Physiology (298 citations), Endocrinology, Diabetes and Metabolism (141 citations) and Cardiology and Cardiovascular Medicine (161 citations). R. Robbi has collaborated with scholars based in Italy. Frequent co-authors include F Armellini, Mauro Zamboni, Ottavio Bosello, Tiziana Todesco, L. Rigo, Massimo De Marchi, I A Bergamo-Andreis, Monica Marchi, Rocco Micciolo and L. Bissoli. Their work appears in journals such as American Journal of Clinical Nutrition, Metabolism and Journal of Internal 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.