Patrick Lee

2.3k citations
34 papers · 1.3k · h-index 19

Impact in

Papers in

    • Pluripotent Stem Cells Research 9
    • CRISPR and Genetic Engineering 6
    • Gut microbiota and health 3
    • CAR-T cell therapy research 3

Patrick Lee

33 papers receiving 1.3k citations

Peers

Patrick Lee
Comparison fields: 5 of 127
  • Molecular Medicine 141
  • Applied Microbiology and Biotechnology 56
  • Aging 23
  • Molecular Biology 685
  • Cellular and Molecular Neuroscience 177
Replace Jing Yao with:
Jing Yao China
Kristi L. Helke United States
Rafael Valdés‐Mas Spain
Jisheng Zhang China
Jong-Hwan Kim South Korea
Gi Jung Im South Korea
Weiliang Huang United States
Larry Croft Australia
Lihui Xie China
Hong‐Lin Su Taiwan
Patrick Lee relative to Jing Yao China Jing Yao's profile →
Citations per field
00.5×3.8×
Jing Yao · 1×
Citations per year

Countries citing papers authored by Patrick Lee

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2 2016189
3 2018114
4 200796
5 202079
6 201078
7 201869
8 201847
9 201440
10 201539
11 201337
12 201429
13 201629
14 201525
15 202024
16 201824
17 201023
18 201219
19 201619
20 201817

About Patrick Lee

Patrick Lee is a scholar working on Molecular Biology, Oncology, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (6 papers), Virus-based gene therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (3 papers), Gut microbiota and health (3 papers), Biomedical Ethics and Regulation (3 papers) and Plasma Applications and Diagnostics (2 papers). The work is most often cited by research in Molecular Medicine (141 citations), Applied Microbiology and Biotechnology (56 citations), Aging (23 citations), Molecular Biology (685 citations) and Cellular and Molecular Neuroscience (177 citations). Patrick Lee has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Bruce Yacyshyn, Mary Beth Yacyshyn, Shashi Gujar, Renee A. Reijo Pera, Lief E. Fenno, Branden Cord, Blake Byers, Larry Tsai, J. William Langston and Joseph S. Solomkin. Their work appears in journals such as EMBO Reports, PLoS ONE, Diabetes, Frontiers in Immunology and Molecules.

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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