Ji Won Oh

1.9k total citations
31 papers, 605 citations indexed

About

Ji Won Oh is a scholar working on Urology, Molecular Biology and Dermatology. According to data from OpenAlex, Ji Won Oh has authored 31 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Urology, 10 papers in Molecular Biology and 10 papers in Dermatology. Recurrent topics in Ji Won Oh's work include Hair Growth and Disorders (12 papers), Skin and Cellular Biology Research (5 papers) and Dermatologic Treatments and Research (5 papers). Ji Won Oh is often cited by papers focused on Hair Growth and Disorders (12 papers), Skin and Cellular Biology Research (5 papers) and Dermatologic Treatments and Research (5 papers). Ji Won Oh collaborates with scholars based in South Korea, United States and Netherlands. Ji Won Oh's co-authors include Maksim V. Plikus, Tsai‐Ching Hsi, Jung Chul Kim, Young Kwan Sung, Yongsoo Kim, Raúl Ramos, Moon‐Kyu Kim, Christian F. Guerrero‐Juarez, Ralf Paus and Jennifer E. Kloepper and has published in prestigious journals such as Nature, Nature Communications and Development.

In The Last Decade

Ji Won Oh

28 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Won Oh South Korea 13 297 204 175 153 71 31 605
Eve Kandyba United States 12 211 0.7× 118 0.6× 313 1.8× 164 1.1× 104 1.5× 15 634
Chae Ho Lim United States 13 192 0.6× 145 0.7× 278 1.6× 192 1.3× 174 2.5× 19 689
Vladimir U. Emelianov Russia 10 173 0.6× 205 1.0× 183 1.0× 91 0.6× 43 0.6× 22 577
Ritsuko Ehama Japan 10 340 1.1× 259 1.3× 283 1.6× 229 1.5× 74 1.0× 15 728
Inês Sequeira United Kingdom 14 217 0.7× 134 0.7× 315 1.8× 164 1.1× 109 1.5× 24 714
Xiaohua Lian China 16 425 1.4× 194 1.0× 373 2.1× 316 2.1× 50 0.7× 43 707
Elsa Treffeisen United States 6 315 1.1× 201 1.0× 189 1.1× 156 1.0× 262 3.7× 10 637
Kathleen A. Silva United States 18 268 0.9× 409 2.0× 273 1.6× 215 1.4× 35 0.5× 38 948
Tsai‐Ching Hsi United States 7 228 0.8× 137 0.7× 89 0.5× 122 0.8× 74 1.0× 7 381
Eddy Hsi Chun Wang United States 10 662 2.2× 504 2.5× 135 0.8× 180 1.2× 62 0.9× 15 875

Countries citing papers authored by Ji Won Oh

Since Specialization
Citations

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

Fields of papers citing papers by Ji Won Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Won 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 Ji Won Oh. The network helps show where Ji Won Oh may publish in the future.

Co-authorship network of co-authors of Ji Won Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Won Oh. A scholar is included among the top collaborators of Ji Won 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 Ji Won Oh. Ji Won 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.
Kwon, Seong Gyu, et al.. (2024). Comprehensive analysis of somatic mutations and structural variations in domestic pig. Mammalian Genome. 35(4). 645–656.
2.
Jeon, Jeong Yong, Yu Kyung Kim, Chang Ho Jeon, et al.. (2023). Global lineage evolution pattern of sars-cov-2 in Africa, America, Europe, and Asia: A comparative analysis of variant clusters and their relevance across continents. Journal of Translational Internal Medicine. 11(4). 410–422. 10 indexed citations
3.
Youk, Jeonghwan, Jeong Yeon Kim, Jung Woo Park, et al.. (2023). Widespread somatic L1 retrotransposition in normal colorectal epithelium. Nature. 617(7961). 540–547. 26 indexed citations
4.
5.
Choi, Seock Hwan, et al.. (2023). Grave-to-cradle: human embryonic lineage tracing from the postmortem body. Experimental & Molecular Medicine. 55(1). 13–21. 2 indexed citations
6.
Kwon, Seong Gyu, Dong Sun Kim, Man‐Hoon Han, et al.. (2022). Asymmetric Contribution of Blastomere Lineages of First Division of the Zygote to Entire Human Body Using Post-Zygotic Variants. Tissue Engineering and Regenerative Medicine. 19(4). 809–821. 1 indexed citations
7.
Ramos, Raúl, et al.. (2022). Deep Tissue Clearing for Three-dimensional Imaging Analysis of Murine Pancreas. YUHSpace (Yonsei University Medical Library). 35(2). 57–57.
8.
Liu, Yingzi, Christian F. Guerrero‐Juarez, Fei Xiao, et al.. (2022). Hedgehog signaling reprograms hair follicle niche fibroblasts to a hyper-activated state. Developmental Cell. 57(14). 1758–1775.e7. 49 indexed citations
9.
Lee, Eunjoo H., et al.. (2022). Three-dimensional visualization of cerebral blood vessels and neural changes in thick ischemic rat brain slices using tissue clearing. Scientific Reports. 12(1). 15897–15897. 3 indexed citations
10.
Hsi, Tsai‐Ching, Jung Chul Kim, Jun Young Kim, et al.. (2021). Restoration of Immune Privilege in Human Dermal Papillae Controlling Epithelial-Mesenchymal Interactions in Hair Formation. Tissue Engineering and Regenerative Medicine. 19(1). 105–116. 7 indexed citations
11.
Lee, Jin‐Han, et al.. (2021). Pullout strength of pedicle screws using cadaveric vertebrae with or without artificial demineralization. The Spine Journal. 21(9). 1580–1586. 4 indexed citations
12.
Oh, Ji Won, Arantza Fariña Sarasqueta, Joanne Verheij, et al.. (2021). Bayesian log-normal deconvolution for enhanced in silico microdissection of bulk gene expression data. Nature Communications. 12(1). 6106–6106. 18 indexed citations
13.
Springer, Mark S., Christian F. Guerrero‐Juarez, Matthew A. Collin, et al.. (2021). Genomic and anatomical comparisons of skin support independent adaptation to life in water by cetaceans and hippos. Current Biology. 31(10). 2124–2139.e3. 26 indexed citations
14.
Park, Hyung Jun, Young‐Chul Choi, Ji Won Oh, & Sang‐Wook Yi. (2020). Prevalence, Mortality, and Cause of Death in Charcot-Marie-Tooth Disease in Korea: A Nationwide, Population-Based Study. Neuroepidemiology. 54(4). 313–319. 9 indexed citations
15.
Lee, Jeong Woo, Ho Yun Chung, Jung Dug Yang, et al.. (2018). A Safer Non-surgical Filler Augmentation Rhinoplasty Based on the Anatomy of the Nose. Aesthetic Plastic Surgery. 43(2). 447–452. 32 indexed citations
16.
Kim, So Won, et al.. (2017). Role of 14-3-3 sigma in over-expression of P-gp by rifampin and paclitaxel stimulation through interaction with PXR. Cellular Signalling. 31. 124–134. 28 indexed citations
17.
Choi, Jeong‐Woo, Yong‐Hee Kim, & Ji Won Oh. (2017). Comparative Analyses of Signature Genes in Acute Rejection and Operational Tolerance. Immune Network. 17(4). 237–237. 13 indexed citations
18.
Oh, Ji Won, Jennifer E. Kloepper, Ewan A. Langan, et al.. (2015). A Guide to Studying Human Hair Follicle Cycling In Vivo. Journal of Investigative Dermatology. 136(1). 34–44. 214 indexed citations
19.
Chung, Ho Yun, et al.. (2010). Difference of Gene Expression between Hypertrophic Scar Keratinocytes and Normal Keratinocytes. Archives of Plastic Surgery. 37(4). 317–322. 2 indexed citations
20.
Kang, Bo Mi, Seung Hyun Shin, Mi Hee Kwack, et al.. (2010). Erythropoietin promotes hair shaft growth in cultured human hair follicles and modulates hair growth in mice. Journal of Dermatological Science. 59(2). 86–90. 13 indexed citations

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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