Nir Lewis
Impact in
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- Cardiovascular Disease and Adiposity
- Atrial Fibrillation Management and Outcomes
- Cardiovascular Effects of Exercise
- Cardiovascular Function and Risk Factors
Papers in
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- Infrared Thermography in Medicine 4
- COVID-19 diagnosis using AI 1
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- Extracellular vesicles in disease 2
- Co-authors
- Jonathan Leor (6 shared papers)Nili Naftali‐Shani (7 shared papers)Rafael Y. Brzezinski (6 shared papers)Leonid Sternik (2 shared papers)Ehud Raanani (2 shared papers)Eilon Ram (1 shared paper)Lior Gepstein (1 shared paper)Nimer Ballan (1 shared paper)
- Journals
- Scientific Reports (2 papers)European Heart Journal (1 paper)Circulation (1 paper)Basic Research in Cardiology (1 paper)Journal of Biophotonics (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Nir Lewis
8 papers receiving 239 citations
Peers
Comparison fields: 5 of 69
- Cardiology and Cardiovascular Medicine 123
- Animal Science and Zoology 19
- Cancer Research 27
- Immunology 35
- Critical Care and Intensive Care Medicine 7
Countries citing papers authored by Nir Lewis
This map shows the geographic impact of Nir Lewis'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 Nir Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Lewis more than expected).
Fields of papers citing papers by Nir Lewis
This network shows the impact of papers produced by Nir Lewis. 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 Nir Lewis. The network helps show where Nir Lewis may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Lewis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 144 | |
| 2 | 2012 | 29 | |
| 3 | 2022 | 25 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 13 | |
| 6 | 2023 | 10 | |
| 7 | 2024 | 2 | |
| 8 | 2021 | 2 |
About Nir Lewis
Nir Lewis is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Critical Care and Intensive Care Medicine, having authored 8 papers that have together received 242 indexed citations. Recurring topics across this work include Infrared Thermography in Medicine (4 papers), Extracellular vesicles in disease (2 papers), COVID-19 diagnosis using AI (1 paper), Thermography and Photoacoustic Techniques (1 paper), Animal Virus Infections Studies (1 paper), Cardiovascular Effects of Exercise (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (123 citations), Animal Science and Zoology (19 citations), Cancer Research (27 citations), Immunology (35 citations) and Critical Care and Intensive Care Medicine (7 citations). Nir Lewis has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Jonathan Leor, Nili Naftali‐Shani, Rafael Y. Brzezinski, Leonid Sternik, Ehud Raanani, Eilon Ram, Lior Gepstein, Nimer Ballan, Tamar Ziv and Neta Regev‐Rudzki. Their work appears in journals such as Scientific Reports, European Heart Journal, Circulation, Basic Research in Cardiology and Journal of Biophotonics.
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.