Giampaolo Bernini
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 10%
- Molecular Biology
- Co-authors
- Stefano TaddeiAntonio SalvettiAgostino VirdisLorenzo GhiadoniArmando MagagnaGuido SalvettiMauro MaccarioGilberta Giacchetti
- Topics
- Adrenal and Paraganglionic Tumors (15 papers)Hormonal Regulation and Hypertension (14 papers)Blood Pressure and Hypertension Studies (10 papers)
- Partner nations
- ItalyUnited StatesJordan
In The Last Decade
Giampaolo Bernini
33 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 987
- Cardiology and Cardiovascular Medicine 760
- Physiology 364
- Molecular Biology 233
Countries citing papers authored by Giampaolo Bernini
This map shows the geographic impact of Giampaolo Bernini'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 Giampaolo Bernini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giampaolo Bernini more than expected).
Fields of papers citing papers by Giampaolo Bernini
This network shows the impact of papers produced by Giampaolo Bernini. 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 Giampaolo Bernini. The network helps show where Giampaolo Bernini may publish in the future.
Co-authorship network of co-authors of Giampaolo Bernini
This figure shows the co-authorship network connecting the top 25 collaborators of Giampaolo Bernini. A scholar is included among the top collaborators of Giampaolo Bernini 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 Giampaolo Bernini. Giampaolo Bernini 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 | 11 | |
| 3 | 26 | |
| 4 | 25 | |
| 5 | 12 | |
| 6 | 40 | |
| 7 | 17 | |
| 8 | 9 | |
| 9 | 43 | |
| 10 | 77 | |
| 11 | 24 | |
| 12 | 109 | |
| 13 | 139 | |
| 14 | 12 | |
| 15 | 81 | |
| 16 | 7 | |
| 17 | 111 | |
| 18 | 18 | |
| 19 | 55 | |
| 20 | 13 |
About Giampaolo Bernini
Giampaolo Bernini is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (15 papers), Hormonal Regulation and Hypertension (14 papers) and Blood Pressure and Hypertension Studies (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (760 citations) and Surgery (987 citations). Giampaolo Bernini has collaborated with scholars based in Italy, United States and Jordan. Frequent co-authors include Stefano Taddei, Antonio Salvetti, Agostino Virdis, Lorenzo Ghiadoni, Armando Magagna, Guido Salvetti, Mauro Maccario, Gilberta Giacchetti, Ermanno Rossi and Franco Mantero. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and European Heart Journal.
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.