Chun‐Chi Kuo

60 papers receiving 592 citations

Peers

Chun‐Chi Kuo
Comparison fields: 5 of 92
  • Biological Psychiatry 27
  • Toxicology 32
  • Sensory Systems 43
  • Pharmacology 57
  • Biochemistry 34
Replace Wei-Zhe Liang with:
Wei-Zhe Liang Taiwan
Zhonghong Wei China
Jacqueline Alves Leite Brazil
Rukiyah Van Dross United States
Hiroomi Tamura Japan
Katarı́na Drábiková Slovakia
Hong-Kun Rim South Korea
Seon A Lee South Korea
Sandra S. Mizokami Brazil
Jin Suk Koo South Korea
Chun‐Chi Kuo relative to Wei-Zhe Liang Taiwan Wei-Zhe Liang's profile →
Citations per field
00.5×1.7×
Wei-Zhe Liang · 1×
Citations per year

Countries citing papers authored by Chun‐Chi Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Chi Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201159
2 201137
3 201236
4 201632
5 201227
6 201124
7 201723
8 201618
9 201117
10 200517
11
Paroxetine-induced Ca2+ movement and death in OC2 human oral cancer cells.
201117
12 201115
13 201815
14 201415
15 201115
16 200614
17 201214
18 201113
19 201112
20 201611

About Chun‐Chi Kuo

Chun‐Chi Kuo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Sensory Systems and Oncology, having authored 61 papers that have together received 600 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Ion channel regulation and function (24 papers), Ion Channels and Receptors (10 papers), Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (5 papers), Bioactive Compounds and Antitumor Agents (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Biological Psychiatry (27 citations), Toxicology (32 citations), Sensory Systems (43 citations), Pharmacology (57 citations) and Biochemistry (34 citations). Chun‐Chi Kuo has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chung‐Ren Jan, Chiang‐Ting Chou, Wei-Zhe Liang, Wei‐Chuan Liao, Pochuen Shieh, Daih‐Huang Kuo, Shu-Shong Hsu, Ko‐Long Lin, Jeng‐Yu Tsai and Jue‐Long Wang. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, Environmental Toxicology and Pharmacology, Toxicology in Vitro, Toxicology and Diagnostic Cytopathology.

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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