Li‐Fen Lee
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
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- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- Atherosclerosis and Cardiovascular Diseases 1
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- Multiple Sclerosis Research Studies 2
- Co-authors
- Yun Qiu (1 shared paper)Jun‐Lin Guan (1 shared paper)Hsing‐Jien Kung (1 shared paper)John Lin (4 shared papers)Guang Huan Tu (3 shared papers)Kathryn Logronio (3 shared papers)Winston Evering (2 shared papers)Hugh O. McDevitt (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cytometry Part B Clinical Cytometry (1 paper)Science Translational Medicine (1 paper)Cancer Immunology Research (1 paper)Journal of Neuroimmune Pharmacology (1 paper)
- Partner nations
- United StatesNetherlandsRussia
In The Last Decade
Li‐Fen Lee
8 papers receiving 684 citations
Peers
Comparison fields: 5 of 71
- Immunology 383
- Oncology 282
- Biological Psychiatry 14
- Genetics 146
- Endocrinology, Diabetes and Metabolism 55
Countries citing papers authored by Li‐Fen Lee
This map shows the geographic impact of Li‐Fen 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 Li‐Fen Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Fen Lee more than expected).
Fields of papers citing papers by Li‐Fen Lee
This network shows the impact of papers produced by Li‐Fen 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 Li‐Fen Lee. The network helps show where Li‐Fen Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Fen 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 | 2014 | 207 | |
| 2 | 2001 | 154 | |
| 3 | 2012 | 110 | |
| 4 | 2011 | 89 | |
| 5 | 2005 | 88 | |
| 6 | 2008 | 21 | |
| 7 | 2015 | 18 | |
| 8 | 2015 | 12 |
About Li‐Fen Lee
Li‐Fen Lee is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Genetics and Psychiatry and Mental health, having authored 8 papers that have together received 699 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Diabetes and associated disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Multiple Sclerosis Research Studies (2 papers), CAR-T cell therapy research (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Immunology (383 citations), Oncology (282 citations), Biological Psychiatry (14 citations), Genetics (146 citations) and Endocrinology, Diabetes and Metabolism (55 citations). Li‐Fen Lee has collaborated with scholars based in United States, Netherlands and Russia. Frequent co-authors include Yun Qiu, Jun‐Lin Guan, Hsing‐Jien Kung, John Lin, Guang Huan Tu, Kathryn Logronio, Winston Evering, Hugh O. McDevitt, Todd VanArsdale and Shihao Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cytometry Part B Clinical Cytometry, Science Translational Medicine, Cancer Immunology Research and Journal of Neuroimmune Pharmacology.
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.