Yang‐Seok Oh

40 papers receiving 687 citations

Peers

Yang‐Seok Oh
Comparison fields: 5 of 83
  • Sensory Systems 72
  • Cellular and Molecular Neuroscience 236
  • Pharmacology 111
  • Developmental Neuroscience 41
  • Behavioral Neuroscience 34
Replace Esmaeal Tamaddonfard with:
Esmaeal Tamaddonfard Iran
B. Djahanguiri Iran
Luis F. Alguacil Spain
Ali Moghimi Iran
Anna Elisa Trovato Italy
Young‐Ho Jin South Korea
Neşe Tunçel Türkiye
Chengshui Zhao United States
Jeffrey A. Zidichouski Canada
Gabriela Castañeda‐Corral Mexico
Yang‐Seok Oh relative to Esmaeal Tamaddonfard Iran Esmaeal Tamaddonfard's profile →
Citations per field
00.5×2.6×
Esmaeal Tamaddonfard · 1×
Citations per year

Countries citing papers authored by Yang‐Seok Oh

Since Specialization
Citations

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

Fields of papers citing papers by Yang‐Seok Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang‐Seok Oh. 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 Yang‐Seok Oh. The network helps show where Yang‐Seok Oh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006128
2 200652
3 200748
4 201245
5 200737
6 200029
7 200229
8 200028
9
Comparison of the Anti-inflammatory Effects of the Extracts from Rubus coreanus and Rubus occidentalis
200727
10 200421
11
The circling mouse (C57BL/6J-cir) has a 40-kilobase genomic deletion that includes the transmembrane inner ear (tmie) gene.
200619
12 200218
13 200616
14 200316
15 200515
16 200215
17 200215
18 199714
19 200114
20 200112

About Yang‐Seok Oh

Yang‐Seok Oh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Biomaterials and Sensory Systems, having authored 40 papers that have together received 714 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuropeptides and Animal Physiology (5 papers), Olfactory and Sensory Function Studies (4 papers), Epilepsy research and treatment (4 papers), Silk-based biomaterials and applications (4 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Sensory Systems (72 citations), Cellular and Molecular Neuroscience (236 citations), Pharmacology (111 citations), Developmental Neuroscience (41 citations) and Behavioral Neuroscience (34 citations). Yang‐Seok Oh has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hyun‐Kyung Shin, Jun‐Gyo Suh, Tae‐Cheon Kang, Soon Sung Lim, Moo Ho Won, Hyuck-Se Kwon, Jin‐Kyung Kim, Seung-Kook Park, Jun Hong Park and Sung Jin An. Their work appears in journals such as Brain Research, EXPERIMENTAL ANIMALS, Biochemical and Biophysical Research Communications, Journal of Veterinary Science and Neuroscience Research.

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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