Zi-Wei Gu
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
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- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
- RNA Research and Splicing 2
- Surgery 3
- Lipoproteins and Cardiovascular Health 2
- Cholesterol and Lipid Metabolism 1
- Co-authors
- Chao-Yuh Yang (5 shared papers)Antonio M. Gotto (5 shared papers)Maryvonne Rosseneu (3 shared papers)Wen‐Hsiung Li (3 shared papers)Lawrence Chan (2 shared papers)J.P. Deslypère (1 shared paper)Geetha M. Habib (1 shared paper)Steven R. Silberman (1 shared paper)
- Journals
- Free Radical Biology and Medicine (2 papers)Science (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Chemistry and Physics of Lipids (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Zi-Wei Gu
8 papers receiving 1.1k citations
Zi-Wei Gu's Hit Papers
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 256
- Cancer Research 199
- Biochemistry 87
- Molecular Biology 718
- Biochemistry 56
Countries citing papers authored by Zi-Wei Gu
This map shows the geographic impact of Zi-Wei Gu'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 Zi-Wei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi-Wei Gu more than expected).
Fields of papers citing papers by Zi-Wei Gu
This network shows the impact of papers produced by Zi-Wei Gu. 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 Zi-Wei Gu. The network helps show where Zi-Wei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zi-Wei Gu, 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 | Apolipoprotein B-48 Is the Product of a Messenger RNA with an Organ-Specific In-Frame Stop Codon Hit paper breakdown → | 1987 | 615 |
| 2 | 1986 | 360 | |
| 3 | 2001 | 71 | |
| 4 | 1997 | 50 | |
| 5 | 1989 | 22 | |
| 6 | 1994 | 20 | |
| 7 | 1997 | 19 | |
| 8 | 1993 | 6 |
About Zi-Wei Gu
Zi-Wei Gu is a scholar working on Molecular Biology, Surgery, Biochemistry, Clinical Biochemistry and Cell Biology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Lipoproteins and Cardiovascular Health (2 papers), RNA Research and Splicing (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (256 citations), Cancer Research (199 citations), Biochemistry (87 citations), Molecular Biology (718 citations) and Biochemistry (56 citations). Zi-Wei Gu has collaborated with scholars based in United States and Belgium. Frequent co-authors include Chao-Yuh Yang, Antonio M. Gotto, Maryvonne Rosseneu, Wen‐Hsiung Li, Lawrence Chan, J.P. Deslypère, Geetha M. Habib, Steven R. Silberman, William A. Bradley and Masako Tanimura. Their work appears in journals such as Free Radical Biology and Medicine, Science, Nature, Proceedings of the National Academy of Sciences and Chemistry and Physics of Lipids.
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.