Catherine C.Y. Chang
- Biochemistry top 0.1%
- Lipid metabolism and biosynthesis 38
- Surgery top 0.5%
- Cholesterol and Lipid Metabolism 82
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 9
- Cell Biology top 1%
- Caveolin-1 and cellular processes 8
- Molecular Biology top 2%
- Peroxisome Proliferator-Activated Receptors 30
- RNA and protein synthesis mechanisms 9
- Receptor Mechanisms and Signaling 9
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- Drug Transport and Resistance Mechanisms 15
- Co-authors
- Ta‐Yuan ChangBo-Liang LiDong ChengNobutaka OhgamiYoshio YamauchiYasuomi UranoLin SongChunjiang Yu
- Cited by
- BiochemistrySurgeryCancer Research
- Journals
- Journal of Biological Chemistry (21 papers)Journal of Lipid Research (10 papers)Biochemistry (8 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Catherine C.Y. Chang
116 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 160
- Biochemistry 1.5k
- Surgery 3.4k
- Cancer Research 1.1k
- Cell Biology 841
- Molecular Biology 3.5k
Countries citing papers authored by Catherine C.Y. Chang
This map shows the geographic impact of Catherine C.Y. Chang'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 Catherine C.Y. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine C.Y. Chang more than expected).
Fields of papers citing papers by Catherine C.Y. Chang
This network shows the impact of papers produced by Catherine C.Y. Chang. 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 Catherine C.Y. Chang. The network helps show where Catherine C.Y. Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Catherine C.Y. Chang, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 12 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 4 | |
| 6 | 2019 | 6 | |
| 7 | 2017 | 115 | |
| 8 | 2017 | 7 | |
| 9 | 2014 | 81 | |
| 10 | 2008 | 100 | |
| 11 | 2004 | 28 | |
| 12 | 2003 | 56 | |
| 13 | 2001 | 34 | |
| 14 | 2001 | 212 | |
| 15 | 1999 | 64 | |
| 16 | 1997 | 28 | |
| 17 | 1996 | 35 | |
| 18 | 1996 | 114 | |
| 19 | 1995 | 110 | |
| 20 | 1994 | 49 |
About Catherine C.Y. Chang
Catherine C.Y. Chang is a scholar working on Biochemistry, Surgery and Molecular Biology, having authored 116 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (82 papers), Lipid metabolism and biosynthesis (38 papers), Peroxisome Proliferator-Activated Receptors (30 papers), Drug Transport and Resistance Mechanisms (15 papers), RNA and protein synthesis mechanisms (9 papers), Cancer, Lipids, and Metabolism (9 papers), Receptor Mechanisms and Signaling (9 papers) and Caveolin-1 and cellular processes (8 papers). The work is most often cited by research in Biochemistry (1.5k citations), Surgery (3.4k citations) and Cancer Research (1.1k citations). Catherine C.Y. Chang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ta‐Yuan Chang, Bo-Liang Li, Dong Cheng, Nobutaka Ohgami, Yoshio Yamauchi, Yasuomi Urano, Lin Song, Chunjiang Yu, Akira Miyazaki and Jay Liu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Biochemistry, Acta Biochimica et Biophysica Sinica and International Journal of Molecular Sciences.
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.