Woon‐Gye Chung

1.2k citations
28 papers · 955 indexed · h-index 18
Topics
Pharmacogenetics and Drug Metabolism (10 papers)Drug-Induced Hepatotoxicity and Protection (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)

In The Last Decade

Woon‐Gye Chung

28 papers receiving 901 citations

Peers

Woon‐Gye Chung
Comparison fields: 5 of 101
  • Molecular Biology 391
  • Pharmacology 291
  • Physiology 132
  • Oncology 107
  • Biochemistry 93
Replace Feihua Wu with:
Feihua Wu China
Mahmood Vessal Iran
Seong Eun Jin South Korea
Mei‐Chin Mong Taiwan
Archana N. Sah India
Majid Ahmad Ganaie Saudi Arabia
Young Soo Lee South Korea
Hélène Rouach France
Sachin L. Badole India
Jaewoo Choi United States
Woon‐Gye Chung relative to Feihua Wu China Feihua Wu's profile →
Citations per field
00.5×1.5×
Feihua Wu · 1×
Citations per year

Countries citing papers authored by Woon‐Gye Chung

Since Specialization
Citations

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

Fields of papers citing papers by Woon‐Gye Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woon‐Gye Chung. 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 Woon‐Gye Chung. The network helps show where Woon‐Gye Chung may publish in the future.

Co-authorship network of co-authors of Woon‐Gye Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Woon‐Gye Chung. A scholar is included among the top collaborators of Woon‐Gye Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Woon‐Gye Chung. Woon‐Gye Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 36
2 35
3 70
4 5
5 33
6 27
7 17
8 14
9 8
10 46
11 117
12 53
13 62
14 46
15 40
16
Assessment of Flavin-containing Monooxygenase (FMO) Activity by Determining Urinary Ratio of Theobromine and Caffeine in a Korean Population after Drinking a Cup of Coffee
2
17 14
18 40
19 22
20 56

About Woon‐Gye Chung

Woon‐Gye Chung is a scholar working on Pharmacology, Biochemistry and Biochemistry, having authored 28 papers that have together received 955 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Pharmacology (291 citations), Biochemistry (93 citations) and Biological Psychiatry (29 citations). Woon‐Gye Chung has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Claudia S. Maier, Cristobal L. Miranda, Chang‐Shin Park, Young‐Nam Cha, Hyung‐Keun Roh, Donald R. Buhler, Juan D. Chavez, Dae-Joong Kim, Young-Nam Cha and Jan F. Stevens. Their work appears in journals such as Analytical Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

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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