Sung-Kun Yim
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Aquatic Science top 10%
- Seaweed-derived Bioactive Compounds
Papers in
- Pharmacology 11
- Pharmacogenetics and Drug Metabolism 11
- Co-authors
- Chul‐Ho Yun (12 shared papers)Taeho Ahn (8 shared papers)Jae‐Gu Pan (4 shared papers)Dong‐Hyun Kim (2 shared papers)Heung-Chae Jung (4 shared papers)Jungwon Kim (2 shared papers)Bosung Ku (2 shared papers)Taehwan Oh (1 shared paper)
- Journals
- Marine Drugs (3 papers)BMB Reports (2 papers)Protein Expression and Purification (2 papers)Analytical Biochemistry (2 papers)Applied Sciences (1 paper)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Sung-Kun Yim
18 papers receiving 438 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 140
- Aquatic Science 49
- Biotechnology 32
- Computational Theory and Mathematics 46
- Molecular Biology 186
Countries citing papers authored by Sung-Kun Yim
This map shows the geographic impact of Sung-Kun Yim'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 Sung-Kun Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Kun Yim more than expected).
Fields of papers citing papers by Sung-Kun Yim
This network shows the impact of papers produced by Sung-Kun Yim. 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 Sung-Kun Yim. The network helps show where Sung-Kun Yim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung-Kun Yim, 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 | 2006 | 60 | |
| 2 | 2021 | 57 | |
| 3 | 2010 | 46 | |
| 4 | 2002 | 35 | |
| 5 | 2005 | 29 | |
| 6 | 2020 | 28 | |
| 7 | 2006 | 26 | |
| 8 | 2021 | 26 | |
| 9 | 2004 | 25 | |
| 10 | 2001 | 24 | |
| 11 | 2008 | 22 | |
| 12 | 2003 | 20 | |
| 13 | 2016 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2002 | 9 | |
| 16 | 2008 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2005 | 2 | |
| 19 | 2024 | 1 |
About Sung-Kun Yim
Sung-Kun Yim is a scholar working on Pharmacology, Molecular Biology, Oncology, Computational Theory and Mathematics and Biomedical Engineering, having authored 19 papers that have together received 442 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Computational Drug Discovery Methods (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Chemical Reactions and Isotopes (2 papers), Analytical Chemistry and Chromatography (2 papers), Echinoderm biology and ecology (2 papers) and Seaweed-derived Bioactive Compounds (2 papers). The work is most often cited by research in Pharmacology (140 citations), Aquatic Science (49 citations), Biotechnology (32 citations), Computational Theory and Mathematics (46 citations) and Molecular Biology (186 citations). Sung-Kun Yim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Chul‐Ho Yun, Taeho Ahn, Jae‐Gu Pan, Dong‐Hyun Kim, Heung-Chae Jung, Jungwon Kim, Bosung Ku, Taehwan Oh, Ho‐Sang Moon and Keonhee Kim. Their work appears in journals such as Marine Drugs, BMB Reports, Protein Expression and Purification, Analytical Biochemistry and Applied Sciences.
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.