Leeying Wu
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Lipid metabolism and biosynthesis 2
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- Receptor Mechanisms and Signaling 3
- Glycosylation and Glycoproteins Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Jingsong CaoJames F. TobinDandan ShanRuth E. GimenoDongmei LiDavinder GillJian‐Liang LiJonathan Hurov
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Lipid Research (1 paper)mAbs (1 paper)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Biology of Reproduction (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Leeying Wu
11 papers receiving 467 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 96
- Radiology, Nuclear Medicine and Imaging 130
- Reproductive Medicine 42
- Molecular Biology 301
- Immunology 91
Countries citing papers authored by Leeying Wu
This map shows the geographic impact of Leeying Wu'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 Leeying Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leeying Wu more than expected).
Fields of papers citing papers by Leeying Wu
This network shows the impact of papers produced by Leeying Wu. 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 Leeying Wu. The network helps show where Leeying Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Leeying Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 73 | |
| 2 | 2011 | 34 | |
| 3 | 2011 | 70 | |
| 4 | 2010 | 90 | |
| 5 | 2009 | 30 | |
| 6 | 2008 | 66 | |
| 7 | 2006 | 52 | |
| 8 | 2003 | 39 | |
| 9 | 2002 | 12 | |
| 10 | 2002 | 4 | |
| 11 | 1996 | 11 |
About Leeying Wu
Leeying Wu is a scholar working on Biochemistry, Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 11 papers that have together received 481 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Lipid metabolism and biosynthesis (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biochemistry (96 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Reproductive Medicine (42 citations), Molecular Biology (301 citations) and Immunology (91 citations). Leeying Wu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jingsong Cao, James F. Tobin, Dandan Shan, Ruth E. Gimeno, Dongmei Li, Davinder Gill, Jian‐Liang Li, Jonathan Hurov, Lioudmila Tchistiakova and Padma L. Channavajhala. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, mAbs, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Biology of Reproduction.
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.