Tarcisio Vago
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Maurizio BevilacquaGuido NorbiatoSerge MassonRoberto LatiniGianni TognoniSimona BarleraJay N. CohnInder S. Anand
- Topics
- Receptor Mechanisms and Signaling (13 papers)Parathyroid Disorders and Treatments (9 papers)Vitamin D Research Studies (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineBehavioral NeuroscienceCritical Care and Intensive Care Medicine
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Tarcisio Vago
88 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 1.4k
- Surgery 476
- Molecular Biology 351
- Radiology, Nuclear Medicine and Imaging 291
- Endocrinology, Diabetes and Metabolism 275
Countries citing papers authored by Tarcisio Vago
This map shows the geographic impact of Tarcisio Vago'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 Tarcisio Vago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tarcisio Vago more than expected).
Fields of papers citing papers by Tarcisio Vago
This network shows the impact of papers produced by Tarcisio Vago. 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 Tarcisio Vago. The network helps show where Tarcisio Vago may publish in the future.
Co-authorship network of co-authors of Tarcisio Vago
This figure shows the co-authorship network connecting the top 25 collaborators of Tarcisio Vago. A scholar is included among the top collaborators of Tarcisio Vago 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 Tarcisio Vago. Tarcisio Vago is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 46 | |
| 4 | 16 | |
| 5 | 168 | |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 8 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 7 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 55 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | [Takayasu's disease in pregnancy]. | 1 |
About Tarcisio Vago
Tarcisio Vago is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 93 papers that have together received 2.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Parathyroid Disorders and Treatments (9 papers) and Vitamin D Research Studies (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Behavioral Neuroscience (89 citations) and Critical Care and Intensive Care Medicine (102 citations). Tarcisio Vago has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Maurizio Bevilacqua, Guido Norbiato, Serge Masson, Roberto Latini, Gianni Tognoni, Simona Barlera, Jay N. Cohn, Inder S. Anand, Laura Angelici and Aldo P. Maggioni. Their work appears in journals such as The Lancet, Circulation and Journal of the American College of Cardiology.
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.