Woo Suk Koh
- Pharmacology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Immunology
- Pharmacology top 5%
- Co-authors
- Norbert E. KaminskiMichael LeeAmy C. HerringKyu Hwan YangFay K. KesslerChang Woo SongSoo Youn JunYun‐Jaie Choi
- Topics
- Protein Kinase Regulation and GTPase Signaling (6 papers)Immunotoxicology and immune responses (5 papers)Cannabis and Cannabinoid Research (5 papers)
- Journals
- Journal of Biological ChemistryBiochemical and Biophysical Research CommunicationsAntimicrobial Agents and Chemotherapy
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Woo Suk Koh
40 papers receiving 848 citations
Peers
Comparison fields: 5 of 101
- Pharmacology 352
- Molecular Biology 235
- Cellular and Molecular Neuroscience 174
- Immunology 143
- Pharmacology 92
Countries citing papers authored by Woo Suk Koh
This map shows the geographic impact of Woo Suk Koh'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 Woo Suk Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo Suk Koh more than expected).
Fields of papers citing papers by Woo Suk Koh
This network shows the impact of papers produced by Woo Suk Koh. 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 Woo Suk Koh. The network helps show where Woo Suk Koh may publish in the future.
Co-authorship network of co-authors of Woo Suk Koh
This figure shows the co-authorship network connecting the top 25 collaborators of Woo Suk Koh. A scholar is included among the top collaborators of Woo Suk Koh 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 Woo Suk Koh. Woo Suk Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 17 | |
| 3 | 26 | |
| 4 | 37 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | Validation of Photo-comet Assay as a Model for the Prediction of Photocarcinogenicity | 3 |
| 9 | 39 | |
| 10 | 8 | |
| 11 | A Three-step Method of Immunotoxicity Assessment | 1 |
| 12 | 10 | |
| 13 | A screening method for Src homology 3 domain binding blockers based on ras signaling pathway | 1 |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 117 | |
| 19 | 115 | |
| 20 | 24 |
About Woo Suk Koh
Woo Suk Koh is a scholar working on Immunology, Cancer Research and Pharmacology, having authored 40 papers that have together received 916 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Immunotoxicology and immune responses (5 papers) and Cannabis and Cannabinoid Research (5 papers). The work is most often cited by research in Pharmacology (352 citations), Toxicology (48 citations) and Biological Psychiatry (30 citations). Woo Suk Koh has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Norbert E. Kaminski, Michael Lee, Amy C. Herring, Kyu Hwan Yang, Fay K. Kessler, Michael Lee, Chang Woo Song, Soo Youn Jun, Yun‐Jaie Choi and Seong Jun Yoon. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Antimicrobial Agents and Chemotherapy.
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.