Chun-Fa Huang

2.4k citations
57 papers · 1.9k · h-index 26

Impact in

Papers in

Chun-Fa Huang

56 papers receiving 1.9k citations

Peers

Chun-Fa Huang
Comparison fields: 5 of 124
  • Transplantation 91
  • Health, Toxicology and Mutagenesis 502
  • Environmental Chemistry 197
  • Nutrition and Dietetics 251
  • Biological Psychiatry 31
Replace Guoliang Hu with:
Guoliang Hu China
Victoria Ramírez Mexico
Miriam A. Friedlander United States
Ram K. Sindhu United States
Ahmet Ateşşahín Türkiye
Selim Çomaklı Türkiye
Peter C. Lamar United States
C. Deby Belgium
Leonard T. Rael United States
José L. Reyes Mexico
Chun-Fa Huang relative to Guoliang Hu China Guoliang Hu's profile →
Citations per field
00.5×10×15×20×22.8×
Guoliang Hu · 1×
Citations per year

Countries citing papers authored by Chun-Fa Huang

Since Specialization
Citations

This map shows the geographic impact of Chun-Fa Huang'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 Chun-Fa Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Fa Huang more than expected).

Fields of papers citing papers by Chun-Fa Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Fa Huang. 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 Chun-Fa Huang. The network helps show where Chun-Fa Huang may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun-Fa Huang, 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 Chun-Fa Huang Line = papers co-authored together Chun-Fa Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010162
2 2015160
3 2012138
4 2013129
5 1998101
6 201194
7 201070
8 201167
9 200962
10 201259
11 201555
12 201254
13 201049
14 201248
15 202136
16 201535
17 201935
18 201634
19 201831
20 201430

About Chun-Fa Huang

Chun-Fa Huang is a scholar working on Molecular Biology, Surgery, Health, Toxicology and Mutagenesis, Cell Biology and Infectious Diseases, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (9 papers), Pancreatic function and diabetes (9 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Mercury impact and mitigation studies (7 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Dermatological diseases and infestations (4 papers), Autophagy in Disease and Therapy (4 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Transplantation (91 citations), Health, Toxicology and Mutagenesis (502 citations), Environmental Chemistry (197 citations), Nutrition and Dietetics (251 citations) and Biological Psychiatry (31 citations). Chun-Fa Huang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shing‐Hwa Liu, Ya‐Wen Chen, Chin‐Chuan Su, Rong‐Sen Yang, Cheng‐Chieh Yen, Ching‐Yao Yang, Dong‐Zong Hung, Keh‐Sung Tsai, Chin-Ching Wu and Tien-Hui Lu. Their work appears in journals such as Toxicology Letters, International Journal of Molecular Sciences, Toxicology, PLoS ONE and Frontiers in Microbiology.

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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