Wonku Kang

2.9k citations
160 papers · 2.3k · h-index 26

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 17
    • Antibiotics Pharmacokinetics and Efficacy 16
    • Inflammatory mediators and NSAID effects 9

Wonku Kang

154 papers receiving 2.2k citations

Peers

Wonku Kang
Comparison fields: 5 of 130
  • Pharmacology 364
  • Pharmacology 414
  • Pharmaceutical Science 136
  • Analytical Chemistry 210
  • Complementary and alternative medicine 111
Replace Bertrand Rochat with:
Bertrand Rochat Switzerland
Elizabeth A. Shephard United Kingdom
Francis L. S. Tse Japan
L. F. Chasseaud United States
Matthew Bryant United States
B. Oosterhuis Netherlands
Guangde Yang China
Bhagwat Prasad United States
Gerhard Krammer Germany
Mian Zhang China
Wonku Kang relative to Bertrand Rochat Switzerland Bertrand Rochat's profile →
Citations per field
00.5×3.7×
Bertrand Rochat · 1×
Citations per year

Countries citing papers authored by Wonku Kang

Since Specialization
Citations

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

Fields of papers citing papers by Wonku Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 2016103
3 201376
4 201762
5 201361
6 201346
7 201241
8 200939
9 201238
10 200937
11 200636
12 201236
13 200736
14 201334
15 201733
16 201633
17 201632
18 200231
19 200430
20 201030

About Wonku Kang

Wonku Kang is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Oncology and Analytical Chemistry, having authored 160 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (17 papers), Antibiotics Pharmacokinetics and Efficacy (16 papers), Drug Transport and Resistance Mechanisms (15 papers), Analytical Methods in Pharmaceuticals (15 papers), Analytical Chemistry and Chromatography (9 papers), Inflammatory mediators and NSAID effects (9 papers), Traditional Chinese Medicine Analysis (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Pharmacology (364 citations), Pharmacology (414 citations), Pharmaceutical Science (136 citations), Analytical Chemistry (210 citations) and Complementary and alternative medicine (111 citations). Wonku Kang has collaborated with scholars based in South Korea, Canada and Germany. Frequent co-authors include Eun Young Kim, Keumhan Noh, Tae Cheon Jeong, Kwang‐il Kwon, Michael Weiß, Hye Gwang Jeong, Mi Jeong Kang, Saurav Ghimire, Jae‐Gook Shin and Hwi‐yeol Yun. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Archives of Pharmacal Research, Biomolecules & Therapeutics, Biomedical Chromatography 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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