Pui‐Kai Li
Impact in
- Molecular Medicine top 0.5%
- Curcumin's Biomedical Applications
- Toxicology top 0.5%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- Steroid Chemistry and Biochemistry 15
- Receptor Mechanisms and Signaling 8
- Protein Tyrosine Phosphatases 8
- Oncology 40
- Cytokine Signaling Pathways and Interactions 23
- Cancer Treatment and Pharmacology 9
- Co-authors
- Chenglong Li (27 shared papers)Jiayuh Lin (22 shared papers)James R. Fuchs (16 shared papers)Li Lin (11 shared papers)Michael E. Rhodes (9 shared papers)Bulbul Pandit (16 shared papers)David A. Johnson (6 shared papers)Stephanie Deangelis (8 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (14 papers)The Journal of Steroid Biochemistry and Molecular Biology (14 papers)Steroids (7 papers)Cancer Research (7 papers)BMC Cancer (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Pui‐Kai Li
133 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 120
- Molecular Medicine 512
- Toxicology 326
- Oncology 1.7k
- Molecular Biology 3.0k
- Cancer Research 596
Countries citing papers authored by Pui‐Kai Li
This map shows the geographic impact of Pui‐Kai Li'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 Pui‐Kai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pui‐Kai Li more than expected).
Fields of papers citing papers by Pui‐Kai Li
This network shows the impact of papers produced by Pui‐Kai Li. 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 Pui‐Kai Li. The network helps show where Pui‐Kai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pui‐Kai Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 301 | |
| 2 | 2008 | 258 | |
| 3 | 2011 | 251 | |
| 4 | 2010 | 197 | |
| 5 | 2010 | 166 | |
| 6 | 2010 | 155 | |
| 7 | 2013 | 145 | |
| 8 | 2010 | 142 | |
| 9 | 2016 | 142 | |
| 10 | 2010 | 125 | |
| 11 | 2011 | 124 | |
| 12 | 2011 | 106 | |
| 13 | 2010 | 100 | |
| 14 | 2009 | 98 | |
| 15 | 2009 | 93 | |
| 16 | 1997 | 80 | |
| 17 | 2011 | 79 | |
| 18 | 2007 | 76 | |
| 19 | 2009 | 75 | |
| 20 | 2013 | 75 |
About Pui‐Kai Li
Pui‐Kai Li is a scholar working on Molecular Biology, Oncology, Genetics, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 136 papers that have together received 5.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (30 papers), Cytokine Signaling Pathways and Interactions (23 papers), Steroid Chemistry and Biochemistry (15 papers), Bioactive Compounds and Antitumor Agents (11 papers), Circadian rhythm and melatonin (10 papers), Cancer Treatment and Pharmacology (9 papers), Receptor Mechanisms and Signaling (8 papers) and Protein Tyrosine Phosphatases (8 papers). The work is most often cited by research in Molecular Medicine (512 citations), Toxicology (326 citations), Oncology (1.7k citations), Molecular Biology (3.0k citations) and Cancer Research (596 citations). Pui‐Kai Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Chenglong Li, Jiayuh Lin, James R. Fuchs, Li Lin, Michael E. Rhodes, Bulbul Pandit, David A. Johnson, Stephanie Deangelis, Kyle W. Selcer and Sarah Ball. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Steroid Biochemistry and Molecular Biology, Steroids, Cancer Research and BMC Cancer.
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.