Kuo Hao Lee

624 citations
23 papers · 449 · h-index 12

Impact in

Papers in

Kuo Hao Lee

22 papers receiving 442 citations

Peers

Kuo Hao Lee
Comparison fields: 5 of 70
  • Endocrinology 37
  • Radiology, Nuclear Medicine and Imaging 144
  • Molecular Biology 280
  • Immunology 52
  • Infectious Diseases 44
Replace Gautier Robin with:
Gautier Robin Australia
Audrey Hessel France
Mélanie Berbon France
Phaedria M. St. Hilaire Denmark
Pavel Macek France
Joachim Vogt Germany
Michael Kachala Germany
Yong Hwee Foo Singapore
G.L. Lokesh United States
Gia Machaidze Switzerland
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Citations per field
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Gautier Robin · 1×
Citations per year

Countries citing papers authored by Kuo Hao Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kuo Hao Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014151
2 202040
3 201329
4 201526
5 201225
6 201324
7 201723
8 201722
9 201121
10 202117
11 202115
12 202115
13 201411
14 202211
15 20234
16 20234
17 20243
18 20243
19 20242
20 20221

About Kuo Hao Lee

Kuo Hao Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics and Materials Chemistry, having authored 23 papers that have together received 449 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Protein Structure and Dynamics (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Neuropeptides and Animal Physiology (6 papers), Computational Drug Discovery Methods (3 papers), RNA and protein synthesis mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Endocrinology (37 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Molecular Biology (280 citations), Immunology (52 citations) and Infectious Diseases (44 citations). Kuo Hao Lee has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include An‐Suei Yang, Hung‐Pin Peng, Jhih-Wei Jian, Jianhan Chen, F. Marty Ytreberg, Weiping Zhang, Lei Shi, Min Chen, Craig R. Miller and Holly A. Wichman. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computational Chemistry, ACS Pharmacology & Translational Science, Journal of Medicinal Chemistry and Journal of Biological Chemistry.

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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