Vincenzo Pasceri
- Cardiology and Cardiovascular Medicine top 0.2%
- Surgery top 0.5%
- Epidemiology top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Molecular Biology top 10%
- Co-authors
- Edward T.H. YehJames T. WillersonGiuseppe PattiGermano Di SciascioGiovanni ColonnaAntonio MontinaroAndrea D’AmbrosioAttilio Maseri
- Topics
- Acute Myocardial Infarction Research (40 papers)Coronary Interventions and Diagnostics (39 papers)Antiplatelet Therapy and Cardiovascular Diseases (32 papers)
- Journals
- New England Journal of MedicineCirculationSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Vincenzo Pasceri
129 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cardiology and Cardiovascular Medicine 4.8k
- Surgery 3.6k
- Epidemiology 1.4k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Molecular Biology 998
Countries citing papers authored by Vincenzo Pasceri
This map shows the geographic impact of Vincenzo Pasceri'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 Vincenzo Pasceri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Pasceri more than expected).
Fields of papers citing papers by Vincenzo Pasceri
This network shows the impact of papers produced by Vincenzo Pasceri. 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 Vincenzo Pasceri. The network helps show where Vincenzo Pasceri may publish in the future.
Co-authorship network of co-authors of Vincenzo Pasceri
This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Pasceri. A scholar is included among the top collaborators of Vincenzo Pasceri 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 Vincenzo Pasceri. Vincenzo Pasceri 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 | 29 | |
| 3 | 14 | |
| 4 | 29 | |
| 5 | 128 | |
| 6 | 88 | |
| 7 | 52 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 338 | |
| 14 | 461 | |
| 15 | 8 | |
| 16 | 26 | |
| 17 | 1 | |
| 18 | Modulation of C-Reactive Protein–Mediated Monocyte Chemoattractant Protein-1 Induction in Human Endothelial Cells by Anti-Atherosclerosis Drugsbreakdown → | 672 |
| 19 | 74 | |
| 20 | 16 |
About Vincenzo Pasceri
Vincenzo Pasceri is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 131 papers that have together received 8.3k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (40 papers), Coronary Interventions and Diagnostics (39 papers) and Antiplatelet Therapy and Cardiovascular Diseases (32 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.8k citations), Internal Medicine (470 citations) and Surgery (3.6k citations). Vincenzo Pasceri has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Edward T.H. Yeh, James T. Willerson, Giuseppe Patti, Germano Di Sciascio, Giovanni Colonna, Antonio Montinaro, Andrea D’Ambrosio, Attilio Maseri, Christian Pristipino and Annunziata Nusca. Their work appears in journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.
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.