George Lee
- Health Informatics top 0.5%
- Computational Theory and Mathematics top 0.5%
- Biophysics top 1%
- Artificial Intelligence top 1%
- AI in cancer detection 16
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- Radiomics and Machine Learning in Medical Imaging 16
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- Gene expression and cancer classification 11
- Glycosylation and Glycoproteins Research 8
- Lipid Membrane Structure and Behavior 6
- Machine Learning in Bioinformatics 4
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- Cancer Immunotherapy and Biomarkers 6
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- Prostate Cancer Diagnosis and Treatment 6
- Co-authors
- Anant MadabhushiJessica VamathevanShanrong ZhaoIan DunhamDominic A. ClarkPaul CzodrowskiMichaela SpitzerEdgardo A. Ferrán
- Journals
- Biochemical and Biophysical Research Communications (8 papers)American Industrial Hygiene Association Journal (4 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
George Lee
107 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Health Informatics 168
- Computational Theory and Mathematics 872
- Biophysics 285
- Artificial Intelligence 1.1k
- Radiology, Nuclear Medicine and Imaging 768
Countries citing papers authored by George Lee
This map shows the geographic impact of George Lee'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 George Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Lee more than expected).
Fields of papers citing papers by George Lee
This network shows the impact of papers produced by George Lee. 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 George Lee. The network helps show where George Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Lee, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 4 | |
| 6 | 2016 | 38 | |
| 7 | Image analysis and machine learning in digital pathology: Challenges and opportunitiesbreakdown → | 2016 | 659 |
| 8 | 2016 | 4 | |
| 9 | 2014 | 22 | |
| 10 | 2013 | 39 | |
| 11 | 2013 | 36 | |
| 12 | 2011 | 34 | |
| 13 | 2011 | 16 | |
| 14 | 2010 | 2 | |
| 15 | The Strategy of an Ancient Warrior: An Inspiration for International Managers | 1998 | 9 |
| 16 | 1992 | 37 | |
| 17 | 1991 | 2 | |
| 18 | Hysteresis and the natural rate of unemployment in Ireland | 1990 | 1 |
| 19 | 1982 | 16 | |
| 20 | A relative deficiency of cytochrome P-450 and aryl hydrocarbon [benzo(a)pyrene] hydroxylase in hyperplastic nodules induced by 2-acetylaminofluorene in rat liver. | 1976 | 108 |
About George Lee
George Lee is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 112 papers that have together received 5.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (16 papers), Gene expression and cancer classification (11 papers), Glycosylation and Glycoproteins Research (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Lipid Membrane Structure and Behavior (6 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Health Informatics (168 citations), Computational Theory and Mathematics (872 citations), Biophysics (285 citations), Artificial Intelligence (1.1k citations) and Radiology, Nuclear Medicine and Imaging (768 citations). George Lee has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Anant Madabhushi, Jessica Vamathevan, Shanrong Zhao, Ian Dunham, Dominic A. Clark, Paul Czodrowski, Michaela Spitzer, Edgardo A. Ferrán, Parantu K. Shah and Bin Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, American Industrial Hygiene Association Journal, Journal of Clinical Oncology, American Journal of Obstetrics and Gynecology and Archives of Biochemistry and Biophysics.
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.