Sung‐Oh Huh
- Biological Psychiatry top 5%
- Geriatrics and Gerontology top 5%
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling 11
- Cell death mechanisms and regulation 10
- Protein Kinase Regulation and GTPase Signaling 5
- Biochemistry top 5%
- Neurology top 5%
- Neuroblastoma Research and Treatments 8
- Neuroinflammation and Neurodegeneration Mechanisms 5
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- Neuroscience and Neuropharmacology Research 8
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- Pain Mechanisms and Treatments 7
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- Pharmacological Effects of Natural Compounds 4
- Co-authors
- Hong‐Won SuhVictor HatiniDong‐Keun SongDoris HerzlingerVittor Cândido SoaresEdmund LaiMd. Ataur RahmanKausik Bishayee
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sung‐Oh Huh
75 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 71
- Geriatrics and Gerontology 84
- Molecular Biology 1.4k
- Biochemistry 102
- Neurology 139
Countries citing papers authored by Sung‐Oh Huh
This map shows the geographic impact of Sung‐Oh Huh'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‐Oh Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Oh Huh more than expected).
Fields of papers citing papers by Sung‐Oh Huh
This network shows the impact of papers produced by Sung‐Oh Huh. 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‐Oh Huh. The network helps show where Sung‐Oh Huh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung‐Oh Huh, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 7 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 6 | |
| 9 | 2016 | 27 | |
| 10 | 2013 | 45 | |
| 11 | 2009 | 14 | |
| 12 | 2009 | 17 | |
| 13 | 2009 | 11 | |
| 14 | 2001 | 159 | |
| 15 | 2000 | 10 | |
| 16 | 2000 | 7 | |
| 17 | 2000 | 16 | |
| 18 | 2000 | 30 | |
| 19 | 1999 | 99 | |
| 20 | 1990 | 0 |
About Sung‐Oh Huh
Sung‐Oh Huh is a scholar working on Developmental Neuroscience, Pharmacology and Behavioral Neuroscience, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (11 papers), Cell death mechanisms and regulation (10 papers), Neuroblastoma Research and Treatments (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Pain Mechanisms and Treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Biological Psychiatry (71 citations), Geriatrics and Gerontology (84 citations) and Molecular Biology (1.4k citations). Sung‐Oh Huh has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hong‐Won Suh, Victor Hatini, Dong‐Keun Song, Doris Herzlinger, Vittor Cândido Soares, Edmund Lai, Md. Ataur Rahman, Kausik Bishayee, Yung‐Hi Kim and Jae‐Young Cho. Their work appears in journals such as Molecules and Cells, Animal Cells and Systems, Neuropeptides, Experimental Neurobiology and Journal of Ethnopharmacology.
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.