Sergio Muntoni
Impact in
-
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Genetics top 10%
- Diabetes and associated disorders
Papers in
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- Diabetes Management and Research 4
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diet, Metabolism, and Disease 3
- Genetics 11
- Diabetes and associated disorders 9
- Co-authors
- Sandro Muntoni (16 shared papers)Marco Songini (3 shared papers)B Loddo (5 shared papers)Francesco Cucca (3 shared papers)W Ferrari (2 shared papers)Jaakko Tuomilehto (1 shared paper)M. Karvonen (1 shared paper)Boris Draznin (1 shared paper)
- Journals
- Diabetes Care (4 papers)Acta Diabetologica (4 papers)European Journal of Epidemiology (3 papers)Nature (3 papers)Diabetes/Metabolism Research and Reviews (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Sergio Muntoni
34 papers receiving 498 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 135
- Genetics 172
- Ophthalmology 24
- Aging 5
- Physiology 60
Countries citing papers authored by Sergio Muntoni
This map shows the geographic impact of Sergio Muntoni'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 Sergio Muntoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Muntoni more than expected).
Fields of papers citing papers by Sergio Muntoni
This network shows the impact of papers produced by Sergio Muntoni. 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 Sergio Muntoni. The network helps show where Sergio Muntoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Muntoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 56 | |
| 2 | 1992 | 53 | |
| 3 | 2005 | 41 | |
| 4 | 2000 | 36 | |
| 5 | 1982 | 33 | |
| 6 | 1974 | 33 | |
| 7 | 2011 | 27 | |
| 8 | 1995 | 24 | |
| 9 | 2010 | 22 | |
| 10 | 2012 | 21 | |
| 11 | 2008 | 20 | |
| 12 | 2008 | 20 | |
| 13 | 2005 | 17 | |
| 14 | 1963 | 17 | |
| 15 | 1963 | 16 | |
| 16 | 1999 | 15 | |
| 17 | 2014 | 12 | |
| 18 | 2008 | 10 | |
| 19 | 1999 | 10 | |
| 20 | 2007 | 9 |
About Sergio Muntoni
Sergio Muntoni is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Epidemiology, having authored 39 papers that have together received 541 indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Metabolism, Diabetes, and Cancer (6 papers), Diabetes Management and Research (4 papers), Pancreatic function and diabetes (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Adipose Tissue and Metabolism (3 papers), Diet, Metabolism, and Disease (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (135 citations), Genetics (172 citations), Ophthalmology (24 citations), Aging (5 citations) and Physiology (60 citations). Sergio Muntoni has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Sandro Muntoni, Marco Songini, B Loddo, Francesco Cucca, W Ferrari, Jaakko Tuomilehto, M. Karvonen, Boris Draznin, Pierluigi Cocco and G.U. Corsini. Their work appears in journals such as Diabetes Care, Acta Diabetologica, European Journal of Epidemiology, Nature and Diabetes/Metabolism Research and Reviews.
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.