Seung-Hun Oh

1.1k total citations
20 papers, 851 citations indexed

About

Seung-Hun Oh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Seung-Hun Oh has authored 20 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Developmental Neuroscience. Recurrent topics in Seung-Hun Oh's work include Neurogenesis and neuroplasticity mechanisms (7 papers), Pluripotent Stem Cells Research (5 papers) and Mesenchymal stem cell research (5 papers). Seung-Hun Oh is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (7 papers), Pluripotent Stem Cells Research (5 papers) and Mesenchymal stem cell research (5 papers). Seung-Hun Oh collaborates with scholars based in South Korea, United States and Sweden. Seung-Hun Oh's co-authors include Jihwan Song, Dong Ah Shin, Iksoo Jeon, Chunggab Choi, Nayeon Lee, Hyun Sook Kim, Jihye Kwon, Dong Ryul Lee, George Q. Daley and In-Hyun Park and has published in prestigious journals such as ACS Nano, Biochemical Journal and International Journal of Molecular Sciences.

In The Last Decade

Seung-Hun Oh

20 papers receiving 840 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seung-Hun Oh South Korea 15 550 333 154 144 124 20 851
Nina Mani United States 10 550 1.0× 427 1.3× 214 1.4× 215 1.5× 113 0.9× 14 1.0k
Makoto Ideguchi Japan 16 575 1.0× 326 1.0× 275 1.8× 69 0.5× 246 2.0× 44 1.1k
Paul Stroemer United Kingdom 16 468 0.9× 285 0.9× 339 2.2× 238 1.7× 313 2.5× 17 985
Yutaka Mine Japan 11 378 0.7× 307 0.9× 353 2.3× 148 1.0× 229 1.8× 28 879
Kazuya Yokota Japan 15 276 0.5× 500 1.5× 253 1.6× 187 1.3× 172 1.4× 40 1.2k
Lingxiao Deng United States 19 312 0.6× 357 1.1× 148 1.0× 90 0.6× 161 1.3× 42 939
Munehisa Shinozaki Japan 22 371 0.7× 551 1.7× 251 1.6× 89 0.6× 240 1.9× 54 1.2k
Kyle D. Fink United States 20 642 1.2× 307 0.9× 131 0.9× 49 0.3× 247 2.0× 39 1.0k
Hyung Chun Park South Korea 16 243 0.4× 359 1.1× 164 1.1× 118 0.8× 365 2.9× 23 1.0k
Bárbara Mendes-Pinheiro Portugal 13 557 1.0× 321 1.0× 138 0.9× 85 0.6× 414 3.3× 18 1.1k

Countries citing papers authored by Seung-Hun Oh

Since Specialization
Citations

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

Fields of papers citing papers by Seung-Hun Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-Hun 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 Seung-Hun Oh. The network helps show where Seung-Hun Oh may publish in the future.

Co-authorship network of co-authors of Seung-Hun Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Hun Oh. A scholar is included among the top collaborators of Seung-Hun Oh 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 Seung-Hun Oh. Seung-Hun Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cho, Hwi-young, Nayeon Lee, Chunggab Choi, et al.. (2021). Therapeutic Effect of BDNF-Overexpressing Human Neural Stem Cells (F3.BDNF) in a Contusion Model of Spinal Cord Injury in Rats. International Journal of Molecular Sciences. 22(13). 6970–6970. 21 indexed citations
2.
Choi, Jung Won, Kyung‐Yul Lee, Hyo Suk Nam, et al.. (2021). Clinical impact of estradiol/testosterone ratio in patients with acute ischemic stroke. BMC Neurology. 21(1). 91–91. 16 indexed citations
3.
Song, Tae-Jin, Seung-Hun Oh, & Jinkwon Kim. (2019). The impact of statin therapy after surgical or endovascular treatment of cerebral aneurysms. Journal of neurosurgery. 133(1). 182–189. 9 indexed citations
4.
Oh, Seung-Hun, Chunggab Choi, Nayeon Lee, et al.. (2018). Interleukin-1 receptor antagonist-mediated neuroprotection by umbilical cord-derived mesenchymal stromal cells following transplantation into a rodent stroke model. Experimental & Molecular Medicine. 50(4). 1–12. 31 indexed citations
5.
Lee, Yong Seung, et al.. (2018). Exosome-Mediated Ultra-Effective Direct Conversion of Human Fibroblasts into Neural Progenitor-like Cells. ACS Nano. 12(3). 2531–2538. 17 indexed citations
6.
Jeon, Iksoo, Francesca Cicchetti, Giulia Cisbani, et al.. (2016). Human-to-mouse prion-like propagation of mutant huntingtin protein. Acta Neuropathologica. 132(4). 577–592. 133 indexed citations
7.
8.
Lee, Nayeon, Jae‐Woo Park, Hyung Joon Kim, et al.. (2014). Monitoring the Differentiation and Migration Patterns of Neural Cells Derived from Human Embryonic Stem Cells Using a Microfluidic Culture System. Molecules and Cells. 37(6). 497–502. 34 indexed citations
9.
Oh, Seung-Hun, Nayeon Lee, Chunggab Choi, et al.. (2013). Contralaterally transplanted human embryonic stem cell-derived neural precursor cells (ENStem-A) migrate and improve brain functions in stroke-damaged rats. Experimental & Molecular Medicine. 45(11). e53–e53. 34 indexed citations
10.
11.
Lee, Nayeon, Chunggab Choi, Iksoo Jeon, et al.. (2013). Therapeutic Effect of BDNF-Overexpressing Human Neural Stem Cells (HB1.F3.BDNF) in a Rodent Model of Middle Cerebral Artery Occlusion. Cell Transplantation. 22(8). 1441–1452. 49 indexed citations
12.
Lee, Nayeon, In-Hyun Park, Chunggab Choi, et al.. (2013). Therapeutic Potential of Human Induced Pluripotent Stem Cells in Experimental Stroke. Cell Transplantation. 22(8). 1427–1440. 60 indexed citations
13.
Kim, Yoon, et al.. (2013). Plasma Total Homocysteine Level Is Associated with the Pulsatility Index of Cerebral Arteries in Lacunar Infarction. Yonsei Medical Journal. 54(4). 819–819. 5 indexed citations
14.
Jeon, Iksoo, Nayeon Lee, Jiayi Li, et al.. (2012). Neuronal Properties, In Vivo Effects, and Pathology of a Huntington's Disease Patient-Derived Induced Pluripotent Stem Cells. Stem Cells. 30(9). 2054–2062. 162 indexed citations
15.
Lee, Nayeon, Hong J. Lee, Iksoo Jeon, et al.. (2012). In vivo Tracking of Human Neural Stem Cells Following Transplantation into a Rodent Model of Ischemic Stroke. International Journal of Stem Cells. 5(1). 79–83. 6 indexed citations
16.
Kwon, Jihye, Nayeon Lee, Iksoo Jeon, et al.. (2012). Neuronal Differentiation of a Human Induced Pluripotent Stem Cell Line (FS-1) Derived from Newborn Foreskin Fibroblasts. International Journal of Stem Cells. 5(2). 140–145. 10 indexed citations
17.
Oh, Seung-Hun, et al.. (2012). Alteration of immunologic responses on peripheral blood in the acute phase of ischemic stroke: Blood genomic profiling study. Journal of Neuroimmunology. 249(1-2). 60–65. 27 indexed citations
18.
Kim, Dong‐Wook, Nayeon Lee, Young Joo Jeon, et al.. (2012). Quantitative proteomic analysis of induced pluripotent stem cells derived from a human Huntington's disease patient. Biochemical Journal. 446(3). 359–371. 82 indexed citations
19.
Oh, Seung-Hun, et al.. (2004). Clinical and Pathological Characteristics of Four Korean Patients with Limb-Girdle Muscular Dystrophy type 2B. Journal of Korean Medical Science. 19(3). 447–447. 5 indexed citations
20.

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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