Massimiliano Caprio
- Endocrinology, Diabetes and Metabolism top 0.2%
- Physiology top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Epidemiology top 5%
- Co-authors
- Andrea FabbriAndrea M. IsidoriAndrea ArmaniCaterina MammiCostanzo MorettiVincenzo MarzollaMarco InfanteAntônio Aversa
- Topics
- Adipose Tissue and Metabolism (42 papers)Diet and metabolism studies (38 papers)Hormonal Regulation and Hypertension (34 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Massimiliano Caprio
142 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Endocrinology, Diabetes and Metabolism 2.6k
- Physiology 2.1k
- Molecular Biology 1.1k
- Surgery 915
- Epidemiology 798
Countries citing papers authored by Massimiliano Caprio
This map shows the geographic impact of Massimiliano Caprio'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 Massimiliano Caprio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimiliano Caprio more than expected).
Fields of papers citing papers by Massimiliano Caprio
This network shows the impact of papers produced by Massimiliano Caprio. 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 Massimiliano Caprio. The network helps show where Massimiliano Caprio may publish in the future.
Co-authorship network of co-authors of Massimiliano Caprio
This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Caprio. A scholar is included among the top collaborators of Massimiliano Caprio 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 Massimiliano Caprio. Massimiliano Caprio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 20 | |
| 5 | 29 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 12 | |
| 10 | 24 | |
| 11 | 20 | |
| 12 | 52 | |
| 13 | 10 | |
| 14 | 21 | |
| 15 | 25 | |
| 16 | 39 | |
| 17 | 20 | |
| 18 | 72 | |
| 19 | 6 | |
| 20 | 11 |
About Massimiliano Caprio
Massimiliano Caprio is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 154 papers that have together received 6.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (42 papers), Diet and metabolism studies (38 papers) and Hormonal Regulation and Hypertension (34 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.6k citations), Endocrine and Autonomic Systems (776 citations) and Physiology (2.1k citations). Massimiliano Caprio has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Andrea Fabbri, Andrea M. Isidori, Andrea Armani, Caterina Mammi, Costanzo Moretti, Vincenzo Marzolla, Marco Infante, Antônio Aversa, Giuseppe Rosano and Gaetano Frajese. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.