Tom Lee
Impact in
- Accounting top 2%
- Auditing, Earnings Management, Governance
- Accounting Education and Careers
- Hepatology top 2%
- Liver Diseases and Immunity
Papers in
- Oncology 30
- Colorectal Cancer Screening and Detection 16
- CAR-T cell therapy research 11
- Accounting 13
- Auditing, Earnings Management, Governance 13
- Accounting Education and Careers 7
- Co-authors
- Louis L. Wilde (1 shared paper)Mary S. Stone (3 shared papers)Min Song (7 shared papers)Shuang Hou (7 shared papers)Hsian‐Rong Tseng (8 shared papers)Mitch André Garcia (7 shared papers)Libo Zhao (5 shared papers)Qinglin Shen (6 shared papers)
- Journals
- Blood (8 papers)Advanced Materials (5 papers)Gut (4 papers)Colorectal Disease (4 papers)Endoscopy (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Tom Lee
87 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 163
- Accounting 528
- Hepatology 343
- Management Information Systems 409
- Oncology 882
- Biomedical Engineering 789
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 451 | |
| 2 | 2013 | 282 | |
| 3 | 2012 | 243 | |
| 4 | 2015 | 220 | |
| 5 | 2013 | 217 | |
| 6 | 2016 | 182 | |
| 7 | 1995 | 171 | |
| 8 | 2013 | 148 | |
| 9 | 2012 | 129 | |
| 10 | 2018 | 125 | |
| 11 | 2014 | 117 | |
| 12 | 1995 | 110 | |
| 13 | 1997 | 108 | |
| 14 | 2022 | 79 | |
| 15 | 2012 | 66 | |
| 16 | 2010 | 65 | |
| 17 | 1994 | 63 | |
| 18 | 2013 | 47 | |
| 19 | 2014 | 43 | |
| 20 | 1995 | 41 |
About Tom Lee
Tom Lee is a scholar working on Oncology, Accounting, Immunology, Management Information Systems and Hepatology, having authored 92 papers that have together received 3.6k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (16 papers), Auditing, Earnings Management, Governance (13 papers), CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (10 papers), Accounting and Organizational Management (7 papers), Accounting Education and Careers (7 papers), CRISPR and Genetic Engineering (5 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Accounting (528 citations), Hepatology (343 citations), Management Information Systems (409 citations), Oncology (882 citations) and Biomedical Engineering (789 citations). Tom Lee has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Louis L. Wilde, Mary S. Stone, Min Song, Shuang Hou, Hsian‐Rong Tseng, Mitch André Garcia, Libo Zhao, Qinglin Shen, Bin Xiong and Colin John Rees. Their work appears in journals such as Blood, Advanced Materials, Gut, Colorectal Disease and Endoscopy.
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.