Shahar Lavi
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 10%
- Co-authors
- Lilach O. LermanAmir LermanGiris JacobCharanjit S. RihalAbhiram PrasadRyan J. LennonRonit LaviVerghese Mathew
- Topics
- Acute Myocardial Infarction Research (46 papers)Coronary Interventions and Diagnostics (31 papers)Antiplatelet Therapy and Cardiovascular Diseases (24 papers)
- Journals
- CirculationJournal of the American College of CardiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Shahar Lavi
124 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cardiology and Cardiovascular Medicine 1.7k
- Surgery 1.0k
- Radiology, Nuclear Medicine and Imaging 596
- Pulmonary and Respiratory Medicine 477
- Physiology 307
Countries citing papers authored by Shahar Lavi
This map shows the geographic impact of Shahar Lavi'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 Shahar Lavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahar Lavi more than expected).
Fields of papers citing papers by Shahar Lavi
This network shows the impact of papers produced by Shahar Lavi. 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 Shahar Lavi. The network helps show where Shahar Lavi may publish in the future.
Co-authorship network of co-authors of Shahar Lavi
This figure shows the co-authorship network connecting the top 25 collaborators of Shahar Lavi. A scholar is included among the top collaborators of Shahar Lavi 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 Shahar Lavi. Shahar Lavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 71 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | 14 | |
| 16 | Assessment of endothelial function by non-invasive peripheral arterial tonometry predicts late cardiovascular adverse eventsbreakdown → | 559 |
| 17 | 2 | |
| 18 | Identification of the gene causing long QT syndrome in an Israeli family. | 2 |
| 19 | 27 | |
| 20 | 16 |
About Shahar Lavi
Shahar Lavi is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 130 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (46 papers), Coronary Interventions and Diagnostics (31 papers) and Antiplatelet Therapy and Cardiovascular Diseases (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Internal Medicine (156 citations) and Endocrine and Autonomic Systems (194 citations). Shahar Lavi has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Lilach O. Lerman, Amir Lerman, Giris Jacob, Charanjit S. Rihal, Abhiram Prasad, Ryan J. Lennon, Ronit Lavi, Verghese Mathew, Ray Nelson and Morgan Soffler. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
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.