Jaw‐Jou Kang

3.1k citations
105 papers · 2.7k · h-index 32

Impact in

Papers in

Jaw‐Jou Kang

104 papers receiving 2.6k citations

Peers

Jaw‐Jou Kang
Comparison fields: 5 of 135
  • Toxicology 136
  • Health, Toxicology and Mutagenesis 304
  • Pharmacology 166
  • Pharmacology 262
  • Physiology 73
Replace Georg T. Wondrak with:
Georg T. Wondrak United States
Magdalena L. Circu United States
Mustapha Cherkaoui‐Malki France
Xiu Jun Wang China
George E.N. Kass United Kingdom
J. Arunakaran India
Ho Jin You South Korea
Pin Ju Chueh Taiwan
Abdulla Haj-Yehia Israel
Krishnendu Sinha India
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Citations per field
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Georg T. Wondrak · 1×
Citations per year

Countries citing papers authored by Jaw‐Jou Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jaw‐Jou Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaw‐Jou Kang. 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 Jaw‐Jou Kang. The network helps show where Jaw‐Jou Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011224
2 1991100
3 201584
4 199776
5 201073
6 200869
7 201067
8 200667
9 201466
10 200365
11 200264
12 201751
13 200450
14 201749
15 200548
16 200547
17 200945
18 199744
19 201742
20 199241

About Jaw‐Jou Kang

Jaw‐Jou Kang is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Health, Toxicology and Mutagenesis and Pharmacology, having authored 105 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Bioactive Compounds and Antitumor Agents (7 papers), Autophagy in Disease and Therapy (4 papers), Biological Stains and Phytochemicals (4 papers), Traditional Chinese Medicine Analysis (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Toxicology (136 citations), Health, Toxicology and Mutagenesis (304 citations), Pharmacology (166 citations), Pharmacology (262 citations) and Physiology (73 citations). Jaw‐Jou Kang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Yu‐Wen Cheng, Ching-Hao Li, Jiunn‐Wang Liao, Po-Lin Liao, Chen-Chen Lee, Shih-Hsuan Huang, Chi-Hao Tsai, Noriaki Ikemoto, Yu Cheng and Yu‐Wen Cheng. Their work appears in journals such as Toxicological Sciences, British Journal of Pharmacology, Journal of Food and Drug Analysis, International Journal of Molecular Sciences and Food and Chemical 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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