Fei Lee

723 citations
16 papers · 327 · h-index 8

Impact in

    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research
    • Colorectal Cancer Treatments and Studies
    • NF-κB Signaling Pathways

Papers in

Fei Lee

16 papers receiving 322 citations

Peers

Fei Lee
Comparison fields: 5 of 65
  • Oncology 135
  • Cancer Research 72
  • Pulmonary and Respiratory Medicine 108
  • Immunology 56
  • Molecular Biology 130
Replace Chunwei W. Lai with:
Chunwei W. Lai United States
Lindsey Carlsen United States
J. Carmichael United Kingdom
Guinevere Chun United States
Delphine Fontaine France
Esha Sachdev United States
Hironori Kikkawa Japan
Kailiang Zhao China
Anatoly Prokvolit United States
Mary Luz Uribe Spain
Fei Lee relative to Chunwei W. Lai United States Chunwei W. Lai's profile →
Citations per field
00.5×1.7×
Chunwei W. Lai · 1×
Citations per year

Countries citing papers authored by Fei Lee

Since Specialization
Citations

This map shows the geographic impact of Fei 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 Fei Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Lee more than expected).

Fields of papers citing papers by Fei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei 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 Fei Lee. The network helps show where Fei Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Fei Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Lee Line = papers co-authored together Fei Lee links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Studies with CWR22 xenografts in nude mice suggest that ZD1839 may have a role in the treatment of both androgen-dependent and androgen-independent human prostate cancer.
200281
2
The epidermal growth factor receptor tyrosine kinase inhibitor ZD1839 selectively potentiates radiation response of human tumors in nude mice, with a marked improvement in therapeutic index.
200354
3 201353
4 201242
5 200825
6 200023
7 202122
8 202115
9 20004
10 20192
11 20201
12 20171
13 20191
14 20201
15 20191
16 20101

About Fei Lee

Fei Lee is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Biotechnology, Immunology and Cancer Research, having authored 16 papers that have together received 327 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Research and Treatments (3 papers), HER2/EGFR in Cancer Research (2 papers), Immunotherapy and Immune Responses (2 papers), NF-κB Signaling Pathways (2 papers), HIV Research and Treatment (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Oncology (135 citations), Cancer Research (72 citations), Pulmonary and Respiratory Medicine (108 citations), Immunology (56 citations) and Molecular Biology (130 citations). Fei Lee has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Howard I. Scher, Jing Chen, Francis M. Sirotnak, Mark G. Kris, Jing Chen, Valerie W. Rusch, F. M. Sirotnak, Yuhong She, Adriana Haimovitz‐Friedman and Vincent A. Miller. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Molecular Cancer Therapeutics, Journal of Nuclear Medicine and Immunology.

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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