Lorenzo Santini
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Surgery
- Cellular and Molecular Neuroscience
- Co-authors
- Raffaele CoppiniElisabetta CerbaiIacopo OlivottoChiara PalandriCorrado PoggesiLeonardo SacconiCecilia FerrantiniJosè Manuel Pioner
- Topics
- Cardiomyopathy and Myosin Studies (9 papers)Cardiac electrophysiology and arrhythmias (5 papers)Cardiovascular Function and Risk Factors (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismMolecular Biology
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Lorenzo Santini
18 papers receiving 587 citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 406
- Molecular Biology 181
- Endocrinology, Diabetes and Metabolism 93
- Surgery 65
- Cellular and Molecular Neuroscience 44
Countries citing papers authored by Lorenzo Santini
This map shows the geographic impact of Lorenzo Santini'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 Lorenzo Santini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Santini more than expected).
Fields of papers citing papers by Lorenzo Santini
This network shows the impact of papers produced by Lorenzo Santini. 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 Lorenzo Santini. The network helps show where Lorenzo Santini may publish in the future.
Co-authorship network of co-authors of Lorenzo Santini
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Santini. A scholar is included among the top collaborators of Lorenzo Santini 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 Lorenzo Santini. Lorenzo Santini 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 | 4 | |
| 4 | 1 | |
| 5 | 23 | |
| 6 | 41 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 14 | |
| 12 | 101 | |
| 13 | 45 | |
| 14 | 51 | |
| 15 | 13 | |
| 16 | 80 | |
| 17 | 55 | |
| 18 | 58 | |
| 19 | 78 |
About Lorenzo Santini
Lorenzo Santini is a scholar working on General Energy, Cardiology and Cardiovascular Medicine and Bioengineering, having authored 19 papers that have together received 592 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (9 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (406 citations), Endocrinology, Diabetes and Metabolism (93 citations) and Molecular Biology (181 citations). Lorenzo Santini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Raffaele Coppini, Elisabetta Cerbai, Iacopo Olivotto, Chiara Palandri, Corrado Poggesi, Leonardo Sacconi, Cecilia Ferrantini, Josè Manuel Pioner, Liberato Berrino and Donato Cappetta. Their work appears in journals such as The Journal of Physiology, Small and British Journal of Pharmacology.
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.