Kiki Chu
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Nutrition and Dietetics top 2%
- Fatty Acid Research and Health
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
-
- Lipid metabolism and biosynthesis 7
- Co-authors
- James M. Ntambi (10 shared papers)Makoto Miyazaki (9 shared papers)Weng Chi Man (5 shared papers)Harini Sampath (7 shared papers)Matthew T. Flowers (4 shared papers)Xueqing Liu (4 shared papers)Sam W. Lee (11 shared papers)Agnieszka Dobrzyń (4 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Nature Communications (1 paper)Biochemical and Biophysical Research Communications (1 paper)The FASEB Journal (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Kiki Chu
21 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 98
- Biochemistry 435
- Nutrition and Dietetics 371
- Cancer Research 272
- Epidemiology 548
- Endocrinology, Diabetes and Metabolism 253
Countries citing papers authored by Kiki Chu
This map shows the geographic impact of Kiki Chu'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 Kiki Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiki Chu more than expected).
Fields of papers citing papers by Kiki Chu
This network shows the impact of papers produced by Kiki Chu. 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 Kiki Chu. The network helps show where Kiki Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiki Chu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 343 | |
| 2 | 2004 | 255 | |
| 3 | 2006 | 195 | |
| 4 | 2015 | 177 | |
| 5 | 2006 | 177 | |
| 6 | 2009 | 142 | |
| 7 | 2013 | 134 | |
| 8 | 2012 | 106 | |
| 9 | 2004 | 105 | |
| 10 | 2009 | 92 | |
| 11 | 2013 | 82 | |
| 12 | 2005 | 81 | |
| 13 | 2014 | 78 | |
| 14 | 2009 | 65 | |
| 15 | 2015 | 62 | |
| 16 | 2005 | 49 | |
| 17 | 2015 | 40 | |
| 18 | 2010 | 20 | |
| 19 | Small-Molecule Reactivation of Mutant p53 to Wild-Type-like p53 through the p53-Hsp40 Regulatory Axis | 2015 | 3 |
| 20 | 2010 | 2 |
About Kiki Chu
Kiki Chu is a scholar working on Molecular Biology, Biochemistry, Surgery, Epidemiology and Oncology, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (7 papers), Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cancer-related Molecular Pathways (3 papers), Autophagy in Disease and Therapy (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Biochemistry (435 citations), Nutrition and Dietetics (371 citations), Cancer Research (272 citations), Epidemiology (548 citations) and Endocrinology, Diabetes and Metabolism (253 citations). Kiki Chu has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include James M. Ntambi, Makoto Miyazaki, Weng Chi Man, Harini Sampath, Matthew T. Flowers, Xueqing Liu, Sam W. Lee, Agnieszka Dobrzyń, Anna Mandinova and Kyoung Wan Yoon. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Biochemical and Biophysical Research Communications, The FASEB Journal and Cell Reports.
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.