George Lee

109 papers receiving 5.0k citations

George Lee's Hit Papers

Applications of machine learning in drug discovery and development 2019 · 1.8k citations
1.8k0+3+6Years since publication50010001.5k

Peers

George Lee
Comparison fields: 5 of 199
  • Health Informatics 160
  • Computational Theory and Mathematics 874
  • Biophysics 260
  • Artificial Intelligence 1.0k
  • Radiology, Nuclear Medicine and Imaging 651
Replace Marinka Žitnik with:
Marinka Žitnik United States
Alex Zhavoronkov United States
Anna Goldenberg Canada
Yuedong Yang China
Michael R. Berthold Germany
Igor Jurišica Canada
Kyle Swanson United States
Frank Emmert‐Streib Austria
Ian Dunham United Kingdom
Tero Aittokallio Finland
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Citations per year

Countries citing papers authored by George Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with George Lee Line = papers co-authored together George Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Applications of machine learning in drug discovery and development
Hit paper breakdown →
20191788
2
Image analysis and machine learning in digital pathology: Challenges and opportunities
Hit paper breakdown →
2016688
3
Induction of resistant hepatocytes as a new principle for a possible short-term in vivo test for carcinogens.
1980215
4 1999114
5
A relative deficiency of cytochrome P-450 and aryl hydrocarbon [benzo(a)pyrene] hydroxylase in hyperplastic nodules induced by 2-acetylaminofluorene in rat liver.
1976108
6 197999
7 201196
8 200885
9 200284
10 201476
11 197673
12
Promotion of liver cancer development by brief exposure to dietary 2-acetylaminofluorene plus partial hepatectomy or carbon tetrachloride.
198373
13 201272
14 201466
15 197464
16 197664
17
Resistance to hepatotoxins acquired by hepatocytes during liver regeneration.
198360
18 197859
19 197856
20 201455

About George Lee

George Lee is a scholar working on Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 113 papers that have together received 5.3k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Gene expression and cancer classification (10 papers), Glycosylation and Glycoproteins Research (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lipid Membrane Structure and Behavior (6 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Health Informatics (160 citations), Computational Theory and Mathematics (874 citations), Biophysics (260 citations), Artificial Intelligence (1.0k citations) and Radiology, Nuclear Medicine and Imaging (651 citations). George Lee has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Anant Madabhushi, Edgardo A. Ferrán, Michaela Spitzer, Dominic A. Clark, Jessica Vamathevan, Paul Czodrowski, Shanrong Zhao, Parantu K. Shah, Bin Li and Ian Dunham. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Oncology, American Industrial Hygiene Association Journal, 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.

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