David Y.W. Lee

4.3k citations
81 papers · 3.6k · h-index 31

Impact in

Papers in

David Y.W. Lee

80 papers receiving 3.5k citations

Peers

David Y.W. Lee
Comparison fields: 5 of 140
  • Pharmacology 723
  • Pharmacology 669
  • Complementary and alternative medicine 312
  • Cellular and Molecular Neuroscience 697
  • Molecular Biology 1.4k
Replace Anna Capasso with:
Anna Capasso Italy
Zhi‐Xiu Lin Hong Kong
Zahurin Mohamed Malaysia
Karam F. A. Soliman United States
Hiu Yee Kwan Hong Kong
Dirk Gründemann Germany
Masaki Aburada Japan
Young‐Ger Suh South Korea
Yan‐Fang Xian Hong Kong
Rosa Anna Vacca Italy
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Citations per field
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Citations per year

Countries citing papers authored by David Y.W. Lee

Since Specialization
Citations

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

Fields of papers citing papers by David Y.W. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005330
2 2010283
3 2003216
4 2007208
5 2004171
6 2006165
7 2020155
8 2009118
9 2005107
10 200579
11 200578
12 200572
13 200865
14 200562
15 200556
16 201256
17 200755
18 200553
19 201351
20 200650

About David Y.W. Lee

David Y.W. Lee is a scholar working on Pharmacology, Pharmacology, Cellular and Molecular Neuroscience, Complementary and alternative medicine and Molecular Biology, having authored 81 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (11 papers), Silymarin and Mushroom Poisoning (8 papers), Natural product bioactivities and synthesis (7 papers), Berberine and alkaloids research (6 papers), Pain Mechanisms and Treatments (6 papers), Traditional Chinese Medicine Analysis (6 papers) and Chemical synthesis and alkaloids (5 papers). The work is most often cited by research in Pharmacology (723 citations), Pharmacology (669 citations), Complementary and alternative medicine (312 citations), Cellular and Molecular Neuroscience (697 citations) and Molecular Biology (1.4k citations). David Y.W. Lee has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yanze Liu, Zhongze Ma, Liu, Stephen J. Polyak, Chihiro Morishima, Lee‐Yuan Liu‐Chen, Minsheng He, William A. Carlezon, Bruce M. Cohen and Thomas Efferth. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Biomedical Chromatography, Phytomedicine and Evidence-based Complementary and Alternative Medicine.

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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