Tom Lee
Impact in
- Accounting top 2%
- Auditing, Earnings Management, Governance
- Accounting Education and Careers
-
- Accounting and Organizational Management
Papers in
- Oncology 55
- CAR-T cell therapy research 32
- Colorectal Cancer Screening and Detection 19
- Immunology 19
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 6
- Co-authors
- Louis L. Wilde (1 shared paper)Min Song (8 shared papers)Hsian‐Rong Tseng (9 shared papers)Mitch A. Garcia (8 shared papers)Shuang Hou (8 shared papers)Mary S. Stone (3 shared papers)Qinglin Shen (7 shared papers)Libo Zhao (3 shared papers)
- Journals
- Blood (18 papers)Cancer Research (8 papers)Gut (7 papers)Advanced Materials (5 papers)Colorectal Disease (4 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Tom Lee
113 papers receiving 3.2k citations
Tom Lee's Hit Papers
Peers
Comparison fields: 5 of 155
- Accounting 598
- Management Information Systems 457
- Oncology 966
- Management of Technology and Innovation 154
- Biomedical Engineering 802
Countries citing papers authored by Tom Lee
This map shows the geographic impact of Tom 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 Tom Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Lee more than expected).
Fields of papers citing papers by Tom Lee
This network shows the impact of papers produced by Tom 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 Tom Lee. The network helps show where Tom Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom 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
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Market Structure and Innovation: A Reformulation Hit paper breakdown → | 1980 | 522 |
| 2 | 2013 | 281 | |
| 3 | 2012 | 240 | |
| 4 | 2013 | 190 | |
| 5 | 1995 | 182 | |
| 6 | 2016 | 180 | |
| 7 | 2013 | 144 | |
| 8 | 1997 | 127 | |
| 9 | 1995 | 126 | |
| 10 | 2012 | 118 | |
| 11 | 2014 | 113 | |
| 12 | 2019 | 67 | |
| 13 | 1994 | 67 | |
| 14 | 2010 | 64 | |
| 15 | 2012 | 64 | |
| 16 | 2013 | 42 | |
| 17 | 1995 | 41 | |
| 18 | 2014 | 39 | |
| 19 | 2020 | 35 | |
| 20 | 1997 | 35 |
About Tom Lee
Tom Lee is a scholar working on Oncology, Immunology, Molecular Biology, Accounting and Biomedical Engineering, having authored 118 papers that have together received 3.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (32 papers), Colorectal Cancer Screening and Detection (19 papers), Immune Cell Function and Interaction (17 papers), Auditing, Earnings Management, Governance (13 papers), CRISPR and Genetic Engineering (10 papers), Accounting and Organizational Management (7 papers), Accounting Education and Careers (7 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Accounting (598 citations), Management Information Systems (457 citations), Oncology (966 citations), Management of Technology and Innovation (154 citations) and Biomedical Engineering (802 citations). Tom Lee has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Louis L. Wilde, Min Song, Hsian‐Rong Tseng, Mitch A. Garcia, Shuang Hou, Mary S. Stone, Qinglin Shen, Libo Zhao, Dongxia Wu and Wei‐Han OuYang. Their work appears in journals such as Blood, Cancer Research, Gut, Advanced Materials and Colorectal Disease.
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.