Fabio Ferrante
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurology top 10%
Papers in
-
- Neuroscience and Neuropharmacology Research 11
- Neuropeptides and Animal Physiology 7
-
- Receptor Mechanisms and Signaling 12
- Ion channel regulation and function 6
- Co-authors
- Francesco Amenta (42 shared papers)Carlo Cavallotti (17 shared papers)Alberto Rícci (12 shared papers)Elena Bronzetti (12 shared papers)Francesco Amenta (10 shared papers)Giuseppe Sancesario (2 shared papers)Laura Felici (9 shared papers)D Zaccheo (5 shared papers)
In The Last Decade
Fabio Ferrante
71 papers receiving 732 citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 224
- Neurology 71
- Endocrine and Autonomic Systems 50
- Cardiology and Cardiovascular Medicine 147
- Physiology 172
Countries citing papers authored by Fabio Ferrante
This map shows the geographic impact of Fabio Ferrante'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 Fabio Ferrante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Ferrante more than expected).
Fields of papers citing papers by Fabio Ferrante
This network shows the impact of papers produced by Fabio Ferrante. 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 Fabio Ferrante. The network helps show where Fabio Ferrante may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Ferrante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 67 | |
| 2 | 2012 | 41 | |
| 3 | 1990 | 41 | |
| 4 | 1981 | 37 | |
| 5 | 1980 | 37 | |
| 6 | 1991 | 27 | |
| 7 | 1996 | 25 | |
| 8 | 1995 | 25 | |
| 9 | 1979 | 23 | |
| 10 | 1998 | 22 | |
| 11 | 2009 | 22 | |
| 12 | 1994 | 21 | |
| 13 | 2008 | 19 | |
| 14 | 1978 | 19 | |
| 15 | 1995 | 17 | |
| 16 | 1988 | 16 | |
| 17 | 1990 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 1980 | 15 |
About Fabio Ferrante
Fabio Ferrante is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 72 papers that have together received 798 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Nitric Oxide and Endothelin Effects (7 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Neuropeptides and Animal Physiology (7 papers), Ion channel regulation and function (6 papers), Gastroesophageal reflux and treatments (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (224 citations), Neurology (71 citations), Endocrine and Autonomic Systems (50 citations), Cardiology and Cardiovascular Medicine (147 citations) and Physiology (172 citations). Fabio Ferrante has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Francesco Amenta, Carlo Cavallotti, Alberto Rícci, Elena Bronzetti, Francesco Amenta, Giuseppe Sancesario, Laura Felici, D Zaccheo, Francesco Tonelli and Carmine Dario Vizza. Their work appears in journals such as Mechanisms of Ageing and Development, Pharmacology, Journal of Neural Transmission, Journal of Hypertension and Acta Histochemica.
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.