Gun Su
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Microbial Natural Products and Biosynthesis
-
- Advanced Photocatalysis Techniques
Papers in
- Pharmacology 18
- Pharmacogenetics and Drug Metabolism 16
-
- Natural product bioactivities and synthesis 3
- Co-authors
- Chul‐Ho Yun (26 shared papers)Sahng Ha Lee (3 shared papers)Dong Heon Nam (3 shared papers)Ki Jun Jeong (3 shared papers)Chan Beum Park (3 shared papers)Jae‐Hyung Lee (3 shared papers)Jong Hyun Park (2 shared papers)Jung‐Kul Lee (3 shared papers)
- Journals
- Enzyme and Microbial Technology (4 papers)Catalysts (3 papers)Process Biochemistry (2 papers)Pharmaceuticals (2 papers)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Gun Su
28 papers receiving 391 citations
Peers
Comparison fields: 5 of 60
- Pharmacology 151
- Pharmacology 55
- Renewable Energy, Sustainability and the Environment 55
- Biochemistry 18
- Molecular Biology 193
Countries citing papers authored by Gun Su
This map shows the geographic impact of Gun Su'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 Gun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gun Su more than expected).
Fields of papers citing papers by Gun Su
This network shows the impact of papers produced by Gun Su. 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 Gun Su. The network helps show where Gun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Gun Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 99 | |
| 2 | 2014 | 33 | |
| 3 | 2014 | 30 | |
| 4 | 2021 | 29 | |
| 5 | 2014 | 28 | |
| 6 | 2015 | 27 | |
| 7 | 2021 | 19 | |
| 8 | 2014 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Gun Su
Gun Su is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Oncology and Computational Theory and Mathematics, having authored 30 papers that have together received 395 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), melanin and skin pigmentation (4 papers), Computational Drug Discovery Methods (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Natural product bioactivities and synthesis (3 papers), Chemical Reactions and Isotopes (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Pharmacology (151 citations), Pharmacology (55 citations), Renewable Energy, Sustainability and the Environment (55 citations), Biochemistry (18 citations) and Molecular Biology (193 citations). Gun Su has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chul‐Ho Yun, Sahng Ha Lee, Dong Heon Nam, Ki Jun Jeong, Chan Beum Park, Jae‐Hyung Lee, Jong Hyun Park, Jung‐Kul Lee, Da Som Choi and Donghak Kim. Their work appears in journals such as Enzyme and Microbial Technology, Catalysts, Process Biochemistry, Pharmaceuticals and Organic & Biomolecular Chemistry.
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.