Gaetano Santulli
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 2%
- Co-authors
- Guido IaccarinoJessica GambardellaBruno TrimarcoAndrew R. MarksPasquale MoneCelestino SarduSteven ReikenWenjun Xie
- Topics
- Receptor Mechanisms and Signaling (21 papers)MicroRNA in disease regulation (20 papers)Diabetes Treatment and Management (17 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCancer ResearchEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesItalyJapan
In The Last Decade
Gaetano Santulli
214 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 3.9k
- Cardiology and Cardiovascular Medicine 3.1k
- Physiology 1.4k
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 1.2k
Countries citing papers authored by Gaetano Santulli
This map shows the geographic impact of Gaetano Santulli'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 Gaetano Santulli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaetano Santulli more than expected).
Fields of papers citing papers by Gaetano Santulli
This network shows the impact of papers produced by Gaetano Santulli. 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 Gaetano Santulli. The network helps show where Gaetano Santulli may publish in the future.
Co-authorship network of co-authors of Gaetano Santulli
This figure shows the co-authorship network connecting the top 25 collaborators of Gaetano Santulli. A scholar is included among the top collaborators of Gaetano Santulli 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 Gaetano Santulli. Gaetano Santulli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 23 | |
| 6 | 53 | |
| 7 | 31 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 72 | |
| 12 | 59 | |
| 13 | 159 | |
| 14 | 28 | |
| 15 | 33 | |
| 16 | 38 | |
| 17 | 28 | |
| 18 | 6 | |
| 19 | 53 | |
| 20 | Mitochondrial calcium overload is a key determinant in heart failurebreakdown → | 440 |
About Gaetano Santulli
Gaetano Santulli is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 226 papers that have together received 9.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), MicroRNA in disease regulation (20 papers) and Diabetes Treatment and Management (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.1k citations), Cancer Research (1.1k citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). Gaetano Santulli has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Guido Iaccarino, Jessica Gambardella, Bruno Trimarco, Andrew R. Marks, Pasquale Mone, Celestino Sardu, Steven Reiken, Wenjun Xie, Stanislovas S. Jankauskas and Marco Bruno Morelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.