Hui‐Chen Ku

20 papers receiving 1.0k citations

Hui‐Chen Ku's Hit Papers

Master Regulator Activating Transcription Factor 3 (ATF3) in Metabolic Homeostasis and Cancer 2020 · 247 citations
2470+2+5Years since publication100200300

Peers

Hui‐Chen Ku
Comparison fields: 5 of 96
  • Physiology 278
  • Geriatrics and Gerontology 28
  • Biochemistry 49
  • Epidemiology 249
  • Biological Psychiatry 18
Replace Nomelí P. Núñez with:
Nomelí P. Núñez United States
Hyun Jeong Kwak South Korea
Benjamin L. Farah Singapore
Wei-Wen Kuo Taiwan
Vanessa P. Houde Canada
Qiren Huang China
Francesca Iannantuoni Spain
Chia-Yao Shen Taiwan
Nadia Bougarne Belgium
Catherine Riva France
Hui‐Chen Ku relative to Nomelí P. Núñez United States Nomelí P. Núñez's profile →
Citations per field
00.5×3.2×
Nomelí P. Núñez · 1×
Citations per year

Countries citing papers authored by Hui‐Chen Ku

Since Specialization
Citations

This map shows the geographic impact of Hui‐Chen Ku'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 Hui‐Chen Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui‐Chen Ku more than expected).

Fields of papers citing papers by Hui‐Chen Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Chen Ku. 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 Hui‐Chen Ku. The network helps show where Hui‐Chen Ku may publish in the future.

Co-authors

The 25 scholars most cited alongside Hui‐Chen Ku, 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 Hui‐Chen Ku Line = papers co-authored together Hui‐Chen Ku links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
PGC-1α as a Pivotal Factor in Lipid and Metabolic Regulation
Hit paper breakdown →
2018353
2
Master Regulator Activating Transcription Factor 3 (ATF3) in Metabolic Homeostasis and Cancer
Hit paper breakdown →
2020247
3 2019137
4 200952
5 201952
6 200838
7 201238
8 200829
9 201024
10 201416
11 202115
12 202410
13 20139
14 20228
15 20218
16 20236
17 20214
18 20124
19 20063
20 20211

About Hui‐Chen Ku

Hui‐Chen Ku is a scholar working on Epidemiology, Pathology and Forensic Medicine, Physiology, Molecular Biology and Endocrine and Autonomic Systems, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Tea Polyphenols and Effects (7 papers), Adipose Tissue and Metabolism (5 papers), Regulation of Appetite and Obesity (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Physiology (278 citations), Geriatrics and Gerontology (28 citations), Biochemistry (49 citations), Epidemiology (249 citations) and Biological Psychiatry (18 citations). Hui‐Chen Ku has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ching‐Feng Cheng, Heng Lin, Shi-Wei Chao, Hsu‐Wen Chao, Yung-Hsi Kao, Chi-Wei Liu, Hsin-Huei Chang, Yung‐Hsi Kao, Li‐Jane Shih and Pei-Fang Hung. Their work appears in journals such as Molecular Nutrition & Food Research, International Journal of Molecular Sciences, American Journal of Physiology-Cell Physiology, Frontiers in Endocrinology and General and Comparative Endocrinology.

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.

Explore authors with similar magnitude of impact