Kwang‐Hyeon Liu
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism 60
- Pharmacological Effects of Natural Compounds 12
- Inflammatory mediators and NSAID effects 10
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology 21
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology 21
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 13
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 24
- Ginseng Biological Effects and Applications 10
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- Drug Transport and Resistance Mechanisms 24
- Co-authors
- Do Yup LeeOliver FiehnJae‐Gook ShinTobias KindBrian C. DeFeliceJohn K. MeissenJi‐Hong ShonJong Cheol Shon
- Cited by
- PharmacologyBiochemistry
- Journals
- Journal of Neuroscience (1 paper)PLoS ONE (5 papers)American Journal of Psychiatry (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Kwang‐Hyeon Liu
183 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Pharmacology 1.2k
- Biochemistry 472
- Biochemistry 213
- Spectroscopy 565
- Molecular Biology 2.1k
Countries citing papers authored by Kwang‐Hyeon Liu
This map shows the geographic impact of Kwang‐Hyeon Liu'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 Kwang‐Hyeon Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang‐Hyeon Liu more than expected).
Fields of papers citing papers by Kwang‐Hyeon Liu
This network shows the impact of papers produced by Kwang‐Hyeon Liu. 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 Kwang‐Hyeon Liu. The network helps show where Kwang‐Hyeon Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kwang‐Hyeon Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 7 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 1 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 39 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 22 | |
| 17 | 2015 | 30 | |
| 18 | Risk Assessment of Human Exposure to Methidathion during Harvest of Cucumber in Green House | 2005 | 9 |
| 19 | 2003 | 6 | |
| 20 | In vitro Metabolism of Ethaboxam by Rat Liver Microsomes | 2002 | 2 |
About Kwang‐Hyeon Liu
Kwang‐Hyeon Liu is a scholar working on Pharmacology, Biochemistry and Pharmacology, having authored 188 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (60 papers), Metabolomics and Mass Spectrometry Studies (24 papers), Drug Transport and Resistance Mechanisms (24 papers), Eicosanoids and Hypertension Pharmacology (21 papers), Analytical Chemistry and Chromatography (13 papers), Pharmacological Effects of Natural Compounds (12 papers), Inflammatory mediators and NSAID effects (10 papers) and Ginseng Biological Effects and Applications (10 papers). The work is most often cited by research in Pharmacology (1.2k citations), Biochemistry (472 citations) and Biochemistry (213 citations). Kwang‐Hyeon Liu has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Do Yup Lee, Oliver Fiehn, Jae‐Gook Shin, Tobias Kind, Brian C. DeFelice, John K. Meissen, Ji‐Hong Shon, Jong Cheol Shon, Soo Kyung Bae and Zhexue Wu. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and American Journal of Psychiatry.
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.