Massimo Federici
- Molecular Biology top 1%
- Physiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 1%
- Epidemiology top 1%
- Co-authors
- Renato LauroDavide LauroRossella MenghiniGiorgio SestiPaolo SbracciaMarta Letizia HribalViviana CasagrandeMarina Cardellini
- Topics
- Metabolism, Diabetes, and Cancer (37 papers)Pancreatic function and diabetes (33 papers)Diet and metabolism studies (30 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Massimo Federici
247 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 5.1k
- Physiology 2.4k
- Endocrinology, Diabetes and Metabolism 2.1k
- Surgery 2.0k
- Epidemiology 1.9k
Countries citing papers authored by Massimo Federici
This map shows the geographic impact of Massimo Federici'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 Federici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Federici more than expected).
Fields of papers citing papers by Massimo Federici
This network shows the impact of papers produced by Massimo Federici. 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 Federici. The network helps show where Massimo Federici may publish in the future.
Co-authorship network of co-authors of Massimo Federici
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Federici. A scholar is included among the top collaborators of Massimo Federici 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 Massimo Federici. Massimo Federici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | Microbiota-gut-brain axis: relationships among the vagus nerve, gut microbiota, obesity, and diabetesbreakdown → | 89 |
| 8 | 25 | |
| 9 | 28 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 59 | |
| 17 | 11 | |
| 18 | 36 | |
| 19 | 45 | |
| 20 | Insulin-like growth factor binding protein-1 serum levels in neuroblastoma | 3 |
About Massimo Federici
Massimo Federici is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cardiology and Cardiovascular Medicine, having authored 253 papers that have together received 11.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (37 papers), Pancreatic function and diabetes (33 papers) and Diet and metabolism studies (30 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Physiology (2.4k citations) and Cancer Research (1.3k citations). Massimo Federici has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Renato Lauro, Davide Lauro, Rossella Menghini, Giorgio Sesti, Paolo Sbraccia, Marta Letizia Hribal, Viviana Casagrande, Marina Cardellini, Stefano Rizza and Ottavia Porzio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.