John Lewin
Impact in
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- Digital Radiography and Breast Imaging
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Digital Radiography and Breast Imaging 24
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- Medical Imaging Techniques and Applications 10
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Carl J. D’Orsi (4 shared papers)Gary Cutter (2 shared papers)Andrew Karellas (3 shared papers)Lawrence J. Moss (3 shared papers)Bhavika Patel (3 shared papers)M. Lobbes (1 shared paper)R. Edward Hendrick (2 shared papers)Gale A. Sisney (1 shared paper)
- Journals
- American Journal of Roentgenology (3 papers)Radiology (2 papers)Academic Radiology (2 papers)European Journal of Radiology (2 papers)Cancer Causes & Control (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
John Lewin
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Pulmonary and Respiratory Medicine 820
- Radiology, Nuclear Medicine and Imaging 483
- Artificial Intelligence 356
- Cancer Research 119
- Oncology 182
Countries citing papers authored by John Lewin
This map shows the geographic impact of John Lewin'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 John Lewin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lewin more than expected).
Fields of papers citing papers by John Lewin
This network shows the impact of papers produced by John Lewin. 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 John Lewin. The network helps show where John Lewin may publish in the future.
Co-authors
The 25 scholars most cited alongside John Lewin, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 311 | |
| 2 | 2001 | 238 | |
| 3 | 2002 | 198 | |
| 4 | 2017 | 115 | |
| 5 | 1996 | 89 | |
| 6 | 2015 | 78 | |
| 7 | 2018 | 39 | |
| 8 | 2006 | 38 | |
| 9 | 2018 | 32 | |
| 10 | 2007 | 27 | |
| 11 | 2018 | 27 | |
| 12 | 2004 | 22 | |
| 13 | 2019 | 19 | |
| 14 | 2010 | 17 | |
| 15 | 2007 | 13 | |
| 16 | 2013 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2009 | 8 | |
| 19 | 2007 | 6 | |
| 20 | 2006 | 3 |
About John Lewin
John Lewin is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Cancer Research and Pathology and Forensic Medicine, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (24 papers), Medical Imaging Techniques and Applications (10 papers), AI in cancer detection (8 papers), Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (4 papers), Advanced X-ray and CT Imaging (3 papers), Global Cancer Incidence and Screening (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (820 citations), Radiology, Nuclear Medicine and Imaging (483 citations), Artificial Intelligence (356 citations), Cancer Research (119 citations) and Oncology (182 citations). John Lewin has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Carl J. D’Orsi, Gary Cutter, Andrew Karellas, Lawrence J. Moss, Bhavika Patel, M. Lobbes, R. Edward Hendrick, Gale A. Sisney, Christopher C. Kuni and Loren T. Niklason. Their work appears in journals such as American Journal of Roentgenology, Radiology, Academic Radiology, European Journal of Radiology and Cancer Causes & Control.
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.