Ji‐Hye Oh

486 total citations
14 papers, 220 citations indexed

About

Ji‐Hye Oh is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Ji‐Hye Oh has authored 14 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Ji‐Hye Oh's work include Cancer Genomics and Diagnostics (7 papers), Genomics and Rare Diseases (2 papers) and DNA Repair Mechanisms (2 papers). Ji‐Hye Oh is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Genomics and Rare Diseases (2 papers) and DNA Repair Mechanisms (2 papers). Ji‐Hye Oh collaborates with scholars based in South Korea, United States and France. Ji‐Hye Oh's co-authors include Chang Ohk Sung, Sung‐Min Chun, Eun Jeong Cho, Jihun Kim, Se Jin Jang, Insuk Sohn, Ji‐Young Lee, Deokhoon Kim, Ju Hyun Shim and Jihyun An and has published in prestigious journals such as Hepatology, Scientific Reports and Journal of Hepatology.

In The Last Decade

Ji‐Hye Oh

13 papers receiving 219 citations

Peers

Ji‐Hye Oh
D. Viñal Spain
J. Harrison Howard United States
Huiyu Lu China
Hong-Jae Jo South Korea
Ji‐Hye Oh
Citations per year, relative to Ji‐Hye Oh Ji‐Hye Oh (= 1×) peers Jianjun Xiao

Countries citing papers authored by Ji‐Hye Oh

Since Specialization
Citations

This map shows the geographic impact of Ji‐Hye 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‐Hye 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‐Hye Oh more than expected).

Fields of papers citing papers by Ji‐Hye Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji‐Hye Oh

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

All Works

14 of 14 papers shown
1.
Lee, Hyun Young, Richard J. Lee, Yunlim Kim, et al.. (2025). Distinct prognostic and molecular profiles of fat versus vein invasion in T3a renal cell carcinoma. British Journal of Cancer. 133(12). 1888–1895.
2.
Jo, Sungyang, Ji‐Hye Oh, Eun‐Jae Lee, et al.. (2025). Mitochondrial DNA Copy Number as a Potential Biomarker for the Severity of Motor Symptoms and Prognosis in Parkinson's Disease. Movement Disorders. 40(3). 502–510. 5 indexed citations
3.
Oh, Ji‐Hye, Sungyang Jo, Kye Won Park, et al.. (2023). Whole-genome sequencing reveals an association between small genomic deletions and an increased risk of developing Parkinson’s disease. Experimental & Molecular Medicine. 55(3). 555–564. 6 indexed citations
4.
Oh, Ji‐Hye, Junsu Ko, Eunsung Jun, et al.. (2023). Intercellular cross-talk through lineage-specific gap junction of cancer-associated fibroblasts related to stromal fibrosis and prognosis. Scientific Reports. 13(1). 14230–14230. 1 indexed citations
6.
Oh, Ji‐Hye, Hee Jung Lee, Jongmin Hwang, et al.. (2022). The Benefits of the Earlier Use of Sacubitril/Valsartan in De Novo Heart Failure with Reduced Ejection Fraction Patients. ESC Heart Failure. 9(4). 2435–2444. 8 indexed citations
7.
Cho, Eun Jeong, Minsuh Kim, Jihye Kim, et al.. (2021). Immuno-genomic classification of colorectal cancer organoids reveals cancer cells with intrinsic immunogenic properties associated with patient survival. Journal of Experimental & Clinical Cancer Research. 40(1). 230–230. 23 indexed citations
8.
An, Jihyun, Deokhoon Kim, Ji‐Hyun Song, et al.. (2021). Comprehensive characterization of viral integrations and genomic aberrations in HBV‐infected intrahepatic cholangiocarcinomas. Hepatology. 75(4). 997–1011. 17 indexed citations
9.
Kim, Eun Na, Ji‐Young Lee, Ji Hun Kim, et al.. (2021). Characterization of early postzygotic somatic mutations through multi-organ analysis. Journal of Human Genetics. 66(8). 777–784. 2 indexed citations
10.
Kang, Hyo Jeong, Ji‐Hye Oh, Yeon Wook Kim, et al.. (2021). Clinicopathological and molecular characterization of chromophobe hepatocellular carcinoma. Liver International. 41(10). 2499–2510. 14 indexed citations
11.
12.
Oh, Ji‐Hye, Se Jin Jang, Jihun Kim, et al.. (2020). Spontaneous mutations in the single TTN gene represent high tumor mutation burden. npj Genomic Medicine. 5(1). 33–33. 73 indexed citations
13.
Park, Hosub, Sung‐Min Chun, Jooyong Shim, et al.. (2019). Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application. Scientific Reports. 9(1). 3644–3644. 18 indexed citations
14.
Kang, Hyo Jeong, Ji‐Hye Oh, Sung‐Min Chun, et al.. (2019). Immunogenomic landscape of hepatocellular carcinoma with immune cell stroma and EBV-positive tumor-infiltrating lymphocytes. Journal of Hepatology. 71(1). 91–103. 36 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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