Li‐Fen Lee

877 total citations
8 papers, 699 citations indexed

About

Li‐Fen Lee is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Li‐Fen Lee has authored 8 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Li‐Fen Lee's work include T-cell and B-cell Immunology (4 papers), Diabetes and associated disorders (3 papers) and Immunotherapy and Immune Responses (3 papers). Li‐Fen Lee is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Diabetes and associated disorders (3 papers) and Immunotherapy and Immune Responses (3 papers). Li‐Fen Lee collaborates with scholars based in United States, Netherlands and Austria. Li‐Fen Lee's co-authors include Hsing‐Jien Kung, Yun Qiu, Jun‐Lin Guan, John Lin, Kathryn Logronio, Guang Huan Tu, Winston Evering, Hugh O. McDevitt, Todd VanArsdale and Mark Elliott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Science Translational Medicine.

In The Last Decade

Li‐Fen Lee

8 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Fen Lee United States 8 383 282 163 146 88 8 699
Marina Vignoli Italy 12 274 0.7× 182 0.6× 165 1.0× 118 0.8× 71 0.8× 22 640
Natalie Seach Australia 17 886 2.3× 276 1.0× 286 1.8× 132 0.9× 64 0.7× 19 1.3k
Katrin Hafen Switzerland 11 463 1.2× 113 0.4× 183 1.1× 73 0.5× 28 0.3× 13 700
Rosita Winkler Belgium 13 96 0.3× 194 0.7× 388 2.4× 113 0.8× 75 0.9× 15 626
Amber C. Donahue United States 14 215 0.6× 130 0.5× 286 1.8× 40 0.3× 35 0.4× 22 583
Lynett Danks United Kingdom 9 352 0.9× 166 0.6× 278 1.7× 49 0.3× 21 0.2× 9 710
Laurel B. Darragh United States 13 407 1.1× 490 1.7× 159 1.0× 30 0.2× 117 1.3× 22 764
Robert Bayer United States 17 121 0.3× 262 0.9× 131 0.8× 60 0.4× 98 1.1× 23 754
Toshiki Yamasaki Japan 16 185 0.5× 151 0.5× 214 1.3× 32 0.2× 96 1.1× 62 967
Carlotta Tacconi Switzerland 16 300 0.8× 552 2.0× 392 2.4× 64 0.4× 76 0.9× 32 991

Countries citing papers authored by Li‐Fen Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Li‐Fen Lee

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

All Works

8 of 8 papers shown
1.
Lee, Li‐Fen, Nikki van Driel, Jon D. Laman, et al.. (2015). Blockade of CD127 Exerts a Dichotomous Clinical Effect in Marmoset Experimental Autoimmune Encephalomyelitis. Journal of Neuroimmune Pharmacology. 11(1). 73–83. 18 indexed citations
2.
Kern, Brent, Wenlin Li, Christine P. Bono, Li‐Fen Lee, & Eugenia Kraynov. (2015). Receptor occupancy and blocking of STAT5 signaling by an anti‐IL‐7 receptor α antibody in cynomolgus monkeys. Cytometry Part B Clinical Cytometry. 90(2). 191–198. 12 indexed citations
3.
Chen, Shihao, Li‐Fen Lee, Timothy S. Fisher, et al.. (2014). Combination of 4-1BB Agonist and PD-1 Antagonist Promotes Antitumor Effector/Memory CD8 T Cells in a Poorly Immunogenic Tumor Model. Cancer Immunology Research. 3(2). 149–160. 207 indexed citations
4.
Lee, Li‐Fen, Kathryn Logronio, Guang Huan Tu, et al.. (2012). Anti–IL-7 receptor-α reverses established type 1 diabetes in nonobese diabetic mice by modulating effector T-cell function. Proceedings of the National Academy of Sciences. 109(31). 12674–12679. 110 indexed citations
5.
Lee, Li‐Fen, Robert C. Axtell, Guang Huan Tu, et al.. (2011). IL-7 Promotes T H 1 Development and Serum IL-7 Predicts Clinical Response to Interferon-β in Multiple Sclerosis. Science Translational Medicine. 3(93). 93ra68–93ra68. 89 indexed citations
6.
Lee, Li‐Fen, et al.. (2008). Genomic expression profiling of TNF-α-treated BDC2.5 diabetogenic CD4+T cells. Proceedings of the National Academy of Sciences. 105(29). 10107–10112. 21 indexed citations
7.
Lee, Li‐Fen, Baohui Xu, Sara A. Michie, et al.. (2005). The role of TNF-α in the pathogenesis of type 1 diabetes in the nonobese diabetic mouse: Analysis of dendritic cell maturation. Proceedings of the National Academy of Sciences. 102(44). 15995–16000. 88 indexed citations
8.
Lee, Li‐Fen, Jun‐Lin Guan, Yun Qiu, & Hsing‐Jien Kung. (2001). Neuropeptide-Induced Androgen Independence in Prostate Cancer Cells: Roles of Nonreceptor Tyrosine Kinases Etk/Bmx, Src, and Focal Adhesion Kinase. Molecular and Cellular Biology. 21(24). 8385–8397. 154 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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