Hsing‐Chun Kuo

3.1k citations
84 papers · 2.5k indexed · h-index 30

Impact in

    • Berberine and alkaloids research
    • Fungal Biology and Applications
    • Phytochemicals and Antioxidant Activities

Papers in

Hsing‐Chun Kuo

83 papers receiving 2.5k citations

Peers

Hsing‐Chun Kuo
Comparison fields: 5 of 130
  • Pharmacology 315
  • Pharmacology 596
  • Biochemistry 136
  • Cancer Research 313
  • Molecular Biology 1.1k
Replace Su Hyun Hong with:
Su Hyun Hong South Korea
Qi Jia China
Sridevi Patchva United States
Ji‐Youn Jung South Korea
Jing Xie China
Sung‐Kwon Moon South Korea
Xiangchun Shen China
Shuang Guan China
Giovanna Petrangolini Italy
Jong‐Suk Kim South Korea
Hsing‐Chun Kuo relative to Su Hyun Hong South Korea Su Hyun Hong's profile →
Citations per field
00.5×1.5×
Su Hyun Hong · 1×
Citations per year

Countries citing papers authored by Hsing‐Chun Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Hsing‐Chun Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsing‐Chun Kuo. 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 Hsing‐Chun Kuo. The network helps show where Hsing‐Chun Kuo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20240
3 20233
4 202314
5 20236
6 20232
7 20221
8 202119
9 202127
10 202128
11 202019
12 201928
13 201630
14 201610
15 201430
16 201419
17 201112
18 201038
19 201062
20 2003138

About Hsing‐Chun Kuo

Hsing‐Chun Kuo is a scholar working on Pharmacology, Pharmacology, Cancer Research, Immunology and Allergy and Immunology, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Fungal Biology and Applications (7 papers), Kawasaki Disease and Coronary Complications (7 papers), Natural product bioactivities and synthesis (5 papers), Chemokine receptors and signaling (5 papers), Immune Response and Inflammation (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Cell death mechanisms and regulation (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Pharmacology (315 citations), Pharmacology (596 citations), Biochemistry (136 citations), Cancer Research (313 citations) and Molecular Biology (1.1k citations). Hsing‐Chun Kuo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tsui‐Hwa Tseng, Chien‐Heng Shen, Fen‐Pi Chou, Ko‐Chao Lee, Shui‐Yi Tung, Ying‐Hsien Huang, Wen‐Shih Huang, Hong‐Ren Yu, Cheng‐Nan Chen and Yean‐Jang Lee. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Journal of Cellular Physiology, Cellular Physiology and Biochemistry and BMC Complementary and Alternative Medicine.

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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