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
-
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 2
- Atherosclerosis and Cardiovascular Diseases 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 1
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Jun‐Lin Guan (1 shared paper)Yun Qiu (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)Science Translational Medicine (1 paper)Cytometry Part B Clinical Cytometry (1 paper)Journal of Neuroimmune Pharmacology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Li‐Fen Lee
8 papers receiving 701 citations
Peers
Comparison fields: 5 of 67
- Immunology 329
- Oncology 239
- Biological Psychiatry 13
- Genetics 135
- Pathology and Forensic Medicine 56
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 | 215 | |
| 2 | 2001 | 154 | |
| 3 | 2012 | 112 | |
| 4 | 2011 | 92 | |
| 5 | 2005 | 91 | |
| 6 | 2008 | 21 | |
| 7 | 2015 | 18 | |
| 8 | 2015 | 12 |
About Li‐Fen Lee
Li‐Fen Lee is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 8 papers that have together received 715 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Multiple Sclerosis Research Studies (2 papers), Diabetes and associated disorders (2 papers), Immune Cell Function and Interaction (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Immunology (329 citations), Oncology (239 citations), Biological Psychiatry (13 citations), Genetics (135 citations) and Pathology and Forensic Medicine (56 citations). Li‐Fen Lee has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Jun‐Lin Guan, Yun Qiu, Hsing‐Jien Kung, John Lin, Guang Huan Tu, Kathryn Logronio, Winston Evering, Hugh O. McDevitt, Hui Wang and Shihao Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Translational Medicine, Cytometry Part B Clinical Cytometry, Journal of Neuroimmune Pharmacology and Molecular and Cellular Biology.
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.