Roberto Gianani
Impact in
-
- Diabetes Management and Research
- Genetics top 0.5%
- Diabetes and associated disorders
Papers in
- Co-authors
- George S. Eisenbarth (24 shared papers)Liping Yu (16 shared papers)Charles F. Verge (10 shared papers)Massimo Pietropaolo (8 shared papers)Eiji Kawasaki (4 shared papers)Richard A. Jackson (4 shared papers)H. Peter Chase (2 shared papers)Mark A. Atkinson (5 shared papers)
- Journals
- Diabetes (9 papers)Diabetologia (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Roberto Gianani
58 papers receiving 3.4k citations
Roberto Gianani's Hit Papers
Peers
Comparison fields: 5 of 106
- Endocrinology, Diabetes and Metabolism 1.5k
- Genetics 2.3k
- Surgery 1.9k
- Immunology 557
- Gastroenterology 74
Countries citing papers authored by Roberto Gianani
This map shows the geographic impact of Roberto Gianani'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 Gianani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Gianani more than expected).
Fields of papers citing papers by Roberto Gianani
This network shows the impact of papers produced by Roberto Gianani. 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 Gianani. The network helps show where Roberto Gianani may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Gianani, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of Type I Diabetes in First-Degree Relatives Using a Combination of Insulin, GAD, and ICA512bdc/IA-2 Autoantibodies Hit paper breakdown → | 1996 | 622 |
| 2 | 2005 | 271 | |
| 3 | 1996 | 187 | |
| 4 | 2003 | 162 | |
| 5 | 2012 | 158 | |
| 6 | 2001 | 150 | |
| 7 | 2017 | 145 | |
| 8 | 1995 | 138 | |
| 9 | 1996 | 122 | |
| 10 | 2010 | 113 | |
| 11 | 1995 | 112 | |
| 12 | 2002 | 110 | |
| 13 | 2013 | 104 | |
| 14 | 1992 | 95 | |
| 15 | 2005 | 83 | |
| 16 | 1996 | 82 | |
| 17 | 1995 | 76 | |
| 18 | 2007 | 75 | |
| 19 | 1994 | 52 | |
| 20 | 2000 | 52 |
About Roberto Gianani
Roberto Gianani is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology, having authored 59 papers that have together received 3.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (35 papers), Pancreatic function and diabetes (30 papers), Diabetes Management and Research (17 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Diabetes Treatment and Management (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Genetics (2.3k citations), Surgery (1.9k citations), Immunology (557 citations) and Gastroenterology (74 citations). Roberto Gianani has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include George S. Eisenbarth, Liping Yu, Charles F. Verge, Massimo Pietropaolo, Eiji Kawasaki, Richard A. Jackson, H. Peter Chase, Mark A. Atkinson, Alberto Pugliese and Jan Jensen. Their work appears in journals such as Diabetes, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Proceedings of the National Academy of Sciences and Cancer Research.
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.