Jay M. Lee

3.4k citations
89 papers · 2.0k · h-index 24

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Lung Cancer Diagnosis and Treatment 31
    • Lung Cancer Treatments and Mutations 24
    • Cancer Immunotherapy and Biomarkers 25
    • Cytokine Signaling Pathways and Interactions 7

Jay M. Lee

83 papers receiving 2.0k citations

Peers

Jay M. Lee
Comparison fields: 5 of 107
  • Oncology 914
  • Immunology 566
  • Pulmonary and Respiratory Medicine 636
  • Periodontics 78
  • Cancer Research 249
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Kyueng‐Whan Min South Korea
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Citations per field
00.5×3.1×
Jinping Lai · 1×
Citations per year

Countries citing papers authored by Jay M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay M. 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 Jay M. Lee Line = papers co-authored together Jay M. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012177
2 2011153
3 2012132
4 2019106
5 200999
6 200896
7 201280
8 201776
9 201366
10 200760
11
PGE(2) contributes to TGF-beta induced T regulatory cell function in human non-small cell lung cancer.
201059
12 201446
13 200841
14 201840
15 200839
16 202336
17 201235
18 200133
19 202131
20 201327

About Jay M. Lee

Jay M. Lee is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Immunology, Surgery and Cancer Research, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (31 papers), Cancer Immunotherapy and Biomarkers (25 papers), Lung Cancer Treatments and Mutations (24 papers), Immunotherapy and Immune Responses (12 papers), Cytokine Signaling Pathways and Interactions (7 papers), Immune cells in cancer (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Oncology (914 citations), Immunology (566 citations), Pulmonary and Respiratory Medicine (636 citations), Periodontics (78 citations) and Cancer Research (249 citations). Jay M. Lee has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Sherven Sharma, Steven M. Dubinett, Edward B. Garon, David Elashoff, Jane Yanagawa, Minu K. Srivastava, Li Zhu, David T. Wong, Hua Xiao and Marni E. Harris‐White. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Journal of Thoracic Oncology, The Annals of Thoracic Surgery and Future Oncology.

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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