George Lee

7.5k total citations · 2 hit papers
112 papers, 5.2k citations indexed

About

George Lee is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, George Lee has authored 112 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 24 papers in Artificial Intelligence and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in George Lee's work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (16 papers) and Gene expression and cancer classification (11 papers). George Lee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (16 papers) and Gene expression and cancer classification (11 papers). George Lee collaborates with scholars based in United States, Italy and Canada. George Lee's co-authors include Anant Madabhushi, Paul Czodrowski, Michaela Spitzer, Ian Dunham, Jessica Vamathevan, Parantu K. Shah, Dominic A. Clark, Edgardo A. Ferrán, Bin Li and Shanrong Zhao and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

George Lee

107 papers receiving 4.9k citations

Hit Papers

Applications of machine learning in drug discovery and de... 2016 2026 2019 2022 2019 2016 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Lee United States 34 2.1k 1.1k 872 768 491 112 5.2k
Xian Wu China 43 946 0.5× 1.8k 1.6× 1.1k 1.3× 320 0.4× 422 0.9× 453 7.7k
Alex Zhavoronkov United States 49 4.0k 1.9× 613 0.6× 2.1k 2.4× 572 0.7× 1.1k 2.2× 232 8.9k
Jinyan Li China 46 3.5k 1.7× 1.8k 1.7× 1.3k 1.4× 270 0.4× 1.3k 2.7× 488 9.5k
Anna Goldenberg Canada 32 2.4k 1.1× 1.1k 1.0× 528 0.6× 431 0.6× 88 0.2× 128 5.9k
Robert W. Harrison United States 52 4.1k 2.0× 219 0.2× 457 0.5× 474 0.6× 497 1.0× 403 10.3k
Doheon Lee South Korea 38 4.1k 2.0× 873 0.8× 925 1.1× 124 0.2× 165 0.3× 229 6.9k
Lei Chen China 48 5.4k 2.6× 455 0.4× 1.4k 1.6× 297 0.4× 259 0.5× 338 8.1k
Min Li China 53 7.3k 3.5× 927 0.8× 2.8k 3.2× 407 0.5× 498 1.0× 489 10.8k
Reinhard Schneider Germany 43 7.0k 3.4× 368 0.3× 915 1.0× 214 0.3× 1.3k 2.6× 196 10.5k
Yuedong Yang China 48 5.9k 2.8× 815 0.7× 1.8k 2.0× 707 0.9× 1.6k 3.2× 211 7.7k

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-authorship network of co-authors of George Lee

This figure shows the co-authorship network connecting the top 25 collaborators of George Lee. A scholar is included among the top collaborators of George Lee 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 George Lee. George Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Luke, Jason J., Katherine M. Bever, F. Stephen Hodi, et al.. (2025). Rationale and feasibility of a rapid integral biomarker program that informs immune-oncology clinical trials: the ADVISE trial. Journal for ImmunoTherapy of Cancer. 13(5). e011170–e011170. 2 indexed citations
2.
Gupta, Sumati, Pradeep Khanna, Eddy Saad, et al.. (2024). 55 (PB043): Activity of CDK4/6 inhibitors in translocation renal cell carcinoma. European Journal of Cancer. 211. 114582–114582.
3.
Aygün, Ramazan, et al.. (2023). Automation of Explainability Auditing for Image Recognition. 14(1). 1–17.
4.
Aygün, Ramazan, et al.. (2023). Quantifying Domain Knowledge in Large Language Models. 193–194. 1 indexed citations
5.
6.
Leo, Patrick, George Lee, Robin Elliott, et al.. (2020). Computer Extracted Features from Initial H&E Tissue Biopsies Predict Disease Progression for Prostate Cancer Patients on Active Surveillance. Cancers. 12(9). 2708–2708. 12 indexed citations
7.
Lee, George, Robert W. Veltri, Guangjing Zhu, et al.. (2016). Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings. European Urology Focus. 3(4-5). 457–466. 38 indexed citations
8.
Madabhushi, Anant & George Lee. (2016). Image analysis and machine learning in digital pathology: Challenges and opportunities. Medical Image Analysis. 33. 170–175. 659 indexed citations breakdown →
9.
Leo, Patrick, George Lee, & Anant Madabhushi. (2016). Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 97910I–97910I. 7 indexed citations
10.
Lee, George, et al.. (2016). Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data. PLoS ONE. 11(7). e0159088–e0159088. 4 indexed citations
11.
Tan, Wei Shen, Wah Yun Low, Chirk Jenn Ng, et al.. (2013). Efficacy and safety of long‐acting intramuscular testosterone undecanoate in aging men: a randomised controlled study. British Journal of Urology. 111(7). 1130–1140. 39 indexed citations
12.
Madabhushi, Anant, Satish E. Viswanath, George Lee, & Pallavi Tiwari. (2013). Medical Image Informatics for Personalized Medicine. 6(3). 30–33. 1 indexed citations
13.
Lee, George, et al.. (2010). The role of embolization in the management of tumour recurrence after radical nephrectomy. British Journal of Hospital Medicine. 71(1). 52–52. 2 indexed citations
14.
Madabhushi, Anant, Ajay Basavanhally, Scott Doyle, Shannon C. Agner, & George Lee. (2010). Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis. 8. 1415–1418. 8 indexed citations
15.
Maher, Thomas E., et al.. (1998). The Strategy of an Ancient Warrior: An Inspiration for International Managers. Multinational Business Review. 6(1). 83. 9 indexed citations
16.
Lee, George. (1990). Hysteresis and the natural rate of unemployment in Ireland. Arrow@dit (Dublin Institute of Technology). 1 indexed citations
17.
Friedman, Robert M., George Lee, Sidney Shifrin, et al.. (1982). Interferon Interactions with Thyroid Cells. Journal of Interferon Research. 2(3). 387–400. 16 indexed citations
18.
Mullin, Brian R., Tadeusz Pacuszka, George Lee, et al.. (1978). Thyroid Gangliosides with High Affinity for Thyrotropin: Potential Role in Thyroid Regulation. Science. 199(4324). 77–79. 59 indexed citations
19.
Cameron, Ross, G.D. Sweeney, Ken Jones, George Lee, & Emmanuel Farber. (1976). A relative deficiency of cytochrome P-450 and aryl hydrocarbon [benzo(a)pyrene] hydroxylase in hyperplastic nodules induced by 2-acetylaminofluorene in rat liver.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 36(11 Pt 1). 3888–93. 108 indexed citations
20.
Waxman, Alan D., et al.. (1973). Differential diagnosis of brain lesions by gallium scanning.. PubMed. 14(12). 903–6. 11 indexed citations

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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