Chao-Lin Kuo

2.0k citations
39 papers · 1.8k indexed · h-index 24

Impact in

Papers in

Chao-Lin Kuo

39 papers receiving 1.7k citations

Peers

Chao-Lin Kuo
Comparison fields: 5 of 108
  • Molecular Medicine 271
  • Toxicology 136
  • Applied Microbiology and Biotechnology 54
  • Pharmacology 184
  • Biochemistry 104
Replace Hsu-Feng Lu with:
Hsu-Feng Lu Taiwan
Jing-Pin Lin Taiwan
Jo‐Hua Chiang Taiwan
Choudhary Harsha India
Shu‐Chun Hsu Taiwan
Edy Meiyanto Indonesia
Kirti S. Prabhu Qatar
Sujit Nair India
Xiaoting Li China
Ock Jin Park South Korea
Chao-Lin Kuo relative to Hsu-Feng Lu Taiwan Hsu-Feng Lu's profile →
Citations per field
00.5×1.5×
Hsu-Feng Lu · 1×
Citations per year

Countries citing papers authored by Chao-Lin Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Lin Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Lin 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 Chao-Lin Kuo. The network helps show where Chao-Lin Kuo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201810
2 201628
3 201621
4 201650
5 201312
6 201316
7 201347
8 201217
9 201267
10 201226
11 201182
12 201136
13 2010188
14 20105
15 200940
16 2009211
17 200933
18 2008154
19 200885
20 200769

About Chao-Lin Kuo

Chao-Lin Kuo is a scholar working on Molecular Medicine, Toxicology, Pharmacology, Applied Microbiology and Biotechnology and Complementary and alternative medicine, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (7 papers), Cell death mechanisms and regulation (5 papers), Curcumin's Biomedical Applications (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Phytochemical compounds biological activities (4 papers), Phytochemical Studies and Bioactivities (4 papers), Phytochemistry and Biological Activities (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Molecular Medicine (271 citations), Toxicology (136 citations), Applied Microbiology and Biotechnology (54 citations), Pharmacology (184 citations) and Biochemistry (104 citations). Chao-Lin Kuo has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jing‐Gung Chung, Jai‐Sing Yang, Kuang‐Chi Lai, Shu‐Chun Hsu, Hsu-Feng Lu, Yi-Shih Ma, Te‐Chun Hsia, SONG-SHEI LIN, Jing-Pin Lin and Su-Tze Chou. Their work appears in journals such as The American Journal of Chinese Medicine, Human & Experimental Toxicology, Journal of Ethnopharmacology, Anticancer Research and Environmental Toxicology.

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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