Roberto Torella
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Liver Disease and Transplantation
-
- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
Papers in
-
- Diabetes Treatment and Management 28
- Diabetes Management and Research 20
- Hepatology 19
- Hepatitis C virus research 14
- Co-authors
- Dario GiuglianoTeresa SalvatoreMarcello PersicoFerdinando Carlo SassoS SgambatoDomenico CozzolinoF D'OnofrioBruno Palmentieri
- Journals
- The Journal of Clinical Endocrinology & Metabolism (13 papers)Acta Diabetologica (10 papers)Metabolism (9 papers)Diabetologia (6 papers)Diabetes Care (4 papers)
- Partner nations
- ItalyBelgiumUnited Kingdom
In The Last Decade
Roberto Torella
132 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 111
- Hepatology 721
- Endocrinology, Diabetes and Metabolism 1.1k
- Epidemiology 1.0k
- Nephrology 178
- Cardiology and Cardiovascular Medicine 522
Countries citing papers authored by Roberto Torella
This map shows the geographic impact of Roberto Torella'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 Roberto Torella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Torella more than expected).
Fields of papers citing papers by Roberto Torella
This network shows the impact of papers produced by Roberto Torella. 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 Roberto Torella. The network helps show where Roberto Torella may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Torella, 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 | 2014 | 8 | |
| 2 | 2013 | 1 | |
| 3 | 2008 | 16 | |
| 4 | 2006 | 284 | |
| 5 | 2005 | 41 | |
| 6 | 2005 | 149 | |
| 7 | 2005 | 65 | |
| 8 | 2005 | 84 | |
| 9 | 2005 | 14 | |
| 10 | 2002 | 8 | |
| 11 | 2000 | 58 | |
| 12 | 2000 | 53 | |
| 13 | 1996 | 2 | |
| 14 | 1995 | 6 | |
| 15 | 1991 | 16 | |
| 16 | 1989 | 33 | |
| 17 | 1988 | 1 | |
| 18 | 1987 | 3 | |
| 19 | 1987 | 48 | |
| 20 | Opiacés et diabète non insulino-dépendant. | 1986 | 1 |
About Roberto Torella
Roberto Torella is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology, Endocrine and Autonomic Systems, Nephrology and Cellular and Molecular Neuroscience, having authored 135 papers that have together received 3.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (28 papers), Diabetes Management and Research (20 papers), Metabolism, Diabetes, and Cancer (20 papers), Pancreatic function and diabetes (19 papers), Neuropeptides and Animal Physiology (17 papers), Liver Disease Diagnosis and Treatment (17 papers), Hepatitis C virus research (14 papers) and Regulation of Appetite and Obesity (10 papers). The work is most often cited by research in Hepatology (721 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Epidemiology (1.0k citations), Nephrology (178 citations) and Cardiology and Cardiovascular Medicine (522 citations). Roberto Torella has collaborated with scholars based in Italy, Belgium and United Kingdom. Frequent co-authors include Dario Giugliano, Teresa Salvatore, Marcello Persico, Ferdinando Carlo Sasso, S Sgambato, Domenico Cozzolino, F D'Onofrio, Bruno Palmentieri, Vincenzo La Mura and Felice D’Onofrio. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Acta Diabetologica, Metabolism, Diabetologia and Diabetes Care.
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.