Su‐Jun Lee

2.5k citations
78 papers · 2.0k · h-index 25

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 37
    • Inflammatory mediators and NSAID effects 6
    • Drug-Induced Hepatotoxicity and Protection 5
    • Peroxisome Proliferator-Activated Receptors 6

Su‐Jun Lee

76 papers receiving 2.0k citations

Peers

Su‐Jun Lee
Comparison fields: 5 of 114
  • Pharmacology 769
  • Transplantation 74
  • Biochemistry 193
  • Oncology 411
  • Physiology 61
Replace Shinsaku Naito with:
Shinsaku Naito Japan
Hong Lü United States
Fabrice Morel France
Patrick Caron Canada
Éric Lévesque Canada
Nathan J. Cherrington United States
Guillermo Elizondo Mexico
Roger Gaedigk United States
Hyunyoung Jeong United States
Azza A. K. El‐Sheikh Egypt
Su‐Jun Lee relative to Shinsaku Naito Japan Shinsaku Naito's profile →
Citations per field
00.5×3.3×
Shinsaku Naito · 1×
Citations per year

Countries citing papers authored by Su‐Jun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Jun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Jun Lee. 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 Su‐Jun Lee. The network helps show where Su‐Jun Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993271
2 2003138
3 2004127
4 200584
5 201371
6 200566
7 200962
8 201959
9 199851
10 201348
11 200746
12 201346
13 200046
14 202138
15 200137
16 200937
17 201336
18 200736
19 202131
20 200331

About Su‐Jun Lee

Su‐Jun Lee is a scholar working on Pharmacology, Molecular Biology, Biochemistry, Oncology and Endocrinology, Diabetes and Metabolism, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (37 papers), Drug Transport and Resistance Mechanisms (21 papers), Eicosanoids and Hypertension Pharmacology (20 papers), Hormonal Regulation and Hypertension (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Alcohol Consumption and Health Effects (6 papers), Inflammatory mediators and NSAID effects (6 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). The work is most often cited by research in Pharmacology (769 citations), Transplantation (74 citations), Biochemistry (193 citations), Oncology (411 citations) and Physiology (61 citations). Su‐Jun Lee has collaborated with scholars based in South Korea, United States and Jordan. Frequent co-authors include Alexandra C. McPherron, Joyce A. Goldstein, Yazun Jarrar, Jae‐Gook Shin, Donald R. Buhler, Burhan I. Ghanayem, Harvey W. Mohrenweiser, Sang Seop Lee, Brian Chanas and Sherry J. Coulter. Their work appears in journals such as Drug Metabolism and Disposition, Drug Metabolism and Pharmacokinetics, Journal of Personalized Medicine, Archives of Biochemistry and Biophysics and Toxicology and Applied Pharmacology.

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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