Weikai Li
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Nutrition and Dietetics top 5%
- Vitamin K Research Studies
Papers in
-
- Lipid Membrane Structure and Behavior 8
- Receptor Mechanisms and Signaling 6
- Photosynthetic Processes and Mechanisms 5
- RNA and protein synthesis mechanisms 5
-
- Vitamin K Research Studies 11
- Co-authors
- Tom A. Rapoport (6 shared papers)Sol Schulman (3 shared papers)Wei Cheng (2 shared papers)Kailang Wu (1 shared paper)Guiqing Peng (1 shared paper)Fang Li (1 shared paper)Shuang Li (13 shared papers)Jon Beckwith (3 shared papers)
- Journals
- Blood Advances (5 papers)Nature (4 papers)Science (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Thrombosis and Haemostasis (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Weikai Li
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Pharmacology 178
- Nutrition and Dietetics 229
- Molecular Biology 990
- Infectious Diseases 241
- Structural Biology 20
Countries citing papers authored by Weikai Li
This map shows the geographic impact of Weikai 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 Weikai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weikai Li more than expected).
Fields of papers citing papers by Weikai Li
This network shows the impact of papers produced by Weikai 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 Weikai Li. The network helps show where Weikai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weikai 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 253 | |
| 2 | 2010 | 153 | |
| 3 | 2014 | 127 | |
| 4 | 2010 | 124 | |
| 5 | 2013 | 120 | |
| 6 | 2007 | 95 | |
| 7 | 2016 | 94 | |
| 8 | 2005 | 93 | |
| 9 | 2006 | 73 | |
| 10 | 2016 | 60 | |
| 11 | 2020 | 49 | |
| 12 | 2006 | 41 | |
| 13 | 2014 | 40 | |
| 14 | 2020 | 38 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 23 | |
| 17 | 2011 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2020 | 19 |
About Weikai Li
Weikai Li is a scholar working on Molecular Biology, Nutrition and Dietetics, Pharmacology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Vitamin K Research Studies (11 papers), Hormonal Regulation and Hypertension (8 papers), Lipid Membrane Structure and Behavior (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Receptor Mechanisms and Signaling (6 papers), Photosynthetic Processes and Mechanisms (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Pharmacology (178 citations), Nutrition and Dietetics (229 citations), Molecular Biology (990 citations), Infectious Diseases (241 citations) and Structural Biology (20 citations). Weikai Li has collaborated with scholars based in United States, China and France. Frequent co-authors include Tom A. Rapoport, Sol Schulman, Wei Cheng, Kailang Wu, Guiqing Peng, Fang Li, Shuang Li, Jon Beckwith, Guomin Shen and Dana Boyd. Their work appears in journals such as Blood Advances, Nature, Science, Proceedings of the National Academy of Sciences and Journal of Thrombosis and Haemostasis.
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.