Kiki Chu

2.7k citations
21 papers · 2.2k indexed · h-index 18

Impact in

Papers in

Kiki Chu

21 papers receiving 2.1k citations

Peers

Kiki Chu
Comparison fields: 5 of 99
  • Biochemistry 487
  • Nutrition and Dietetics 365
  • Cancer Research 309
  • Epidemiology 630
  • Endocrinology, Diabetes and Metabolism 301
Replace Jared R. Mayers with:
Jared R. Mayers United States
Pascale Bossard France
Young-Ah Moon South Korea
Roseann Piantedosi United States
Jeff L. Ellsworth United States
Bo-Liang Li China
My Chouinard United States
Charles M. Mansbach United States
Tamio Noguchi Japan
Ahmed Bakillah United States
Kiki Chu relative to Jared R. Mayers United States Jared R. Mayers's profile →
Citations per field
00.5×1.7×
Jared R. Mayers · 1×
Citations per year

Countries citing papers authored by Kiki Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kiki Chu Line = papers co-authored together Kiki Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015174
2
Small-Molecule Reactivation of Mutant p53 to Wild-Type-like p53 through the p53-Hsp40 Regulatory Axis
20153
3 201562
4 201477
5 2013134
6 201379
7 2012104
8 201020
9
Branching into metabolism
20101
10 20102
11 200965
12 2009139
13 200992
14 2007341
15 2006175
16 2006195
17 200549
18 200581
19 2004105
20 2004253

About Kiki Chu

Kiki Chu is a scholar working on Biochemistry, Cancer Research, Cell Biology, Biotechnology and Epidemiology, 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), Cancer, Hypoxia, and Metabolism (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Biochemistry (487 citations), Nutrition and Dietetics (365 citations), Cancer Research (309 citations), Epidemiology (630 citations) and Endocrinology, Diabetes and Metabolism (301 citations). Kiki Chu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James M. Ntambi, Makoto Miyazaki, Weng Chi Man, Harini Sampath, Xueqing Liu, Matthew T. Flowers, Sam W. Lee, Agnieszka Dobrzyń, Anna Mandinova and Masatsugu Hiraki. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Nature Communications, Cell Reports and Journal of Lipid Research.

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.

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