C C Luo
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Peroxisome Proliferator-Activated Receptors 2
- Glycosylation and Glycoproteins Research 2
- Machine Learning in Bioinformatics 2
- Ubiquitin and proteasome pathways 1
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- Lipid metabolism and disorders 4
- Co-authors
- Wen‐Hsiung Li (7 shared papers)Lawrence Chan (4 shared papers)Santanu Datta (3 shared papers)S H Chen (3 shared papers)Masako Tanimura (1 shared paper)Clay F. Semenkovich (2 shared papers)Lisa Chan (1 shared paper)Lawrence Chan (1 shared paper)
- Journals
- Journal of Lipid Research (3 papers)Journal of Biological Chemistry (3 papers)Molecular Biology and Evolution (2 papers)Annals of Internal Medicine (1 paper)AIDS Research and Human Retroviruses (1 paper)
- Partner nations
- United States
In The Last Decade
C C Luo
10 papers receiving 954 citations
Peers
Comparison fields: 5 of 98
- Biochemistry 134
- Endocrinology, Diabetes and Metabolism 269
- General Dentistry 20
- Cardiology and Cardiovascular Medicine 185
- Surgery 280
Countries citing papers authored by C C Luo
This map shows the geographic impact of C C Luo'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 C C Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C C Luo more than expected).
Fields of papers citing papers by C C Luo
This network shows the impact of papers produced by C C Luo. 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 C C Luo. The network helps show where C C Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside C C Luo, 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 | 1988 | 263 | |
| 2 | 1992 | 188 | |
| 3 | 1989 | 173 | |
| 4 | 1988 | 165 | |
| 5 | 1990 | 87 | |
| 6 | 1989 | 51 | |
| 7 | 1984 | 36 | |
| 8 | 1987 | 31 | |
| 9 | 1986 | 17 | |
| 10 | 1997 | 2 |
About C C Luo
C C Luo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Biochemistry, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipid metabolism and disorders (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer, Lipids, and Metabolism (2 papers), Machine Learning in Bioinformatics (2 papers), Lipid metabolism and biosynthesis (2 papers), Trypanosoma species research and implications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biochemistry (134 citations), Endocrinology, Diabetes and Metabolism (269 citations), General Dentistry (20 citations), Cardiology and Cardiovascular Medicine (185 citations) and Surgery (280 citations). C C Luo has collaborated with scholars based in United States. Frequent co-authors include Wen‐Hsiung Li, Lawrence Chan, Santanu Datta, S H Chen, Masako Tanimura, Clay F. Semenkovich, Lisa Chan, Lawrence Chan, Myles Brown and Peter vanTuinen. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Molecular Biology and Evolution, Annals of Internal Medicine and AIDS Research and Human Retroviruses.
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.