Massimo Trucco
Impact in
- Transplantation top 0.2%
- Immunology top 0.2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Co-authors
- Rita Bottino (58 shared papers)William A. Rudert (39 shared papers)Nick Giannoukakis (41 shared papers)Noriko Murase (24 shared papers)Camillo Ricordi (17 shared papers)Suzanne Bertera (46 shared papers)Anthony J. Demetris (26 shared papers)Paul D. Robbins (15 shared papers)
- Journals
- Diabetes (17 papers)Transplantation (12 papers)Diabetologia (9 papers)The Journal of Immunology (8 papers)Gene Therapy (8 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Massimo Trucco
310 papers receiving 13.9k citations
Massimo Trucco's Hit Papers
Peers
Comparison fields: 5 of 150
- Transplantation 1.2k
- Immunology 4.2k
- Genetics 4.0k
- Surgery 5.7k
- Endocrinology, Diabetes and Metabolism 1.9k
Countries citing papers authored by Massimo Trucco
This map shows the geographic impact of Massimo Trucco'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 Massimo Trucco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Trucco more than expected).
Fields of papers citing papers by Massimo Trucco
This network shows the impact of papers produced by Massimo Trucco. 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 Massimo Trucco. The network helps show where Massimo Trucco may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Trucco, 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 312 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cell migration, chimerism, and graft acceptance Hit paper breakdown → | 1992 | 837 |
| 2 | 2011 | 332 | |
| 3 | 1988 | 310 | |
| 4 | 1992 | 297 | |
| 5 | 2011 | 278 | |
| 6 | 1993 | 278 | |
| 7 | 1994 | 262 | |
| 8 | 2004 | 233 | |
| 9 | 2014 | 219 | |
| 10 | 1993 | 210 | |
| 11 | 2009 | 209 | |
| 12 | 2009 | 208 | |
| 13 | 1996 | 203 | |
| 14 | 1997 | 200 | |
| 15 | 1990 | 199 | |
| 16 | 1993 | 184 | |
| 17 | 2000 | 179 | |
| 18 | 2002 | 173 | |
| 19 | 1995 | 156 | |
| 20 | 1995 | 151 |
About Massimo Trucco
Massimo Trucco is a scholar working on Surgery, Genetics, Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 312 papers that have together received 14.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (116 papers), Diabetes and associated disorders (115 papers), T-cell and B-cell Immunology (66 papers), Immune Cell Function and Interaction (53 papers), Xenotransplantation and immune response (42 papers), Diabetes Management and Research (40 papers), Immunotherapy and Immune Responses (35 papers) and Monoclonal and Polyclonal Antibodies Research (20 papers). The work is most often cited by research in Transplantation (1.2k citations), Immunology (4.2k citations), Genetics (4.0k citations), Surgery (5.7k citations) and Endocrinology, Diabetes and Metabolism (1.9k citations). Massimo Trucco has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Rita Bottino, William A. Rudert, Nick Giannoukakis, Noriko Murase, Camillo Ricordi, Suzanne Bertera, Anthony J. Demetris, Paul D. Robbins, TE Starzl and Brett E. Phillips. Their work appears in journals such as Diabetes, Transplantation, Diabetologia, The Journal of Immunology and Gene Therapy.
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.