Jung Oh Kim

2.7k total citations
90 papers, 1.8k citations indexed

About

Jung Oh Kim is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Jung Oh Kim has authored 90 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cancer Research, 32 papers in Molecular Biology and 23 papers in Immunology. Recurrent topics in Jung Oh Kim's work include MicroRNA in disease regulation (26 papers), Reproductive System and Pregnancy (21 papers) and Circular RNAs in diseases (18 papers). Jung Oh Kim is often cited by papers focused on MicroRNA in disease regulation (26 papers), Reproductive System and Pregnancy (21 papers) and Circular RNAs in diseases (18 papers). Jung Oh Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Jung Oh Kim's co-authors include Nam Keun Kim, Woo Sik Lee, Ji Hyang Kim, Young Ran Kim, Han Sung Park, Eun Hee Ahn, Joseph M. Piepmeier, Young Joo Jeon, Robert Makuch and Dennis D. Spencer and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Jung Oh Kim

88 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung Oh Kim South Korea 20 778 642 358 342 217 90 1.8k
Gijs Afink Netherlands 23 609 0.8× 228 0.4× 260 0.7× 150 0.4× 102 0.5× 59 1.6k
Katherine Fishwick United Kingdom 14 963 1.2× 310 0.5× 676 1.9× 210 0.6× 61 0.3× 19 2.1k
San‐Pin Wu United States 23 1.1k 1.4× 245 0.4× 808 2.3× 237 0.7× 71 0.3× 64 2.3k
Lijiang Ma United States 20 1.2k 1.6× 161 0.3× 312 0.9× 741 2.2× 103 0.5× 33 2.3k
Kelly L. Walton Australia 25 1.4k 1.8× 182 0.3× 140 0.4× 170 0.5× 160 0.7× 53 2.3k
Barbara Pasini Italy 34 2.0k 2.5× 900 1.4× 164 0.5× 603 1.8× 111 0.5× 92 5.4k
Jan Oosting Netherlands 32 1.1k 1.4× 673 1.0× 205 0.6× 468 1.4× 103 0.5× 73 2.5k
Tsuyoshi Fukushima Japan 26 820 1.1× 287 0.4× 276 0.8× 221 0.6× 286 1.3× 117 2.1k
Roberta P. Glick United States 26 439 0.6× 157 0.2× 293 0.8× 129 0.4× 277 1.3× 79 1.8k
GEORGE LAMSON United States 22 1.0k 1.3× 515 0.8× 257 0.7× 182 0.5× 29 0.1× 24 2.4k

Countries citing papers authored by Jung Oh Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jung Oh Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung Oh Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jung Oh Kim. A scholar is included among the top collaborators of Jung Oh Kim 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 Jung Oh Kim. Jung Oh Kim 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.
2.
Kim, Bo‐Guen, Jung Oh Kim, Jung Oh Kim, et al.. (2024). Multi-Ancestry Causal Association between Rheumatoid Arthritis and Interstitial Lung Disease: A Bidirectional Two-Sample Mendelian Randomization Study. Journal of Clinical Medicine. 13(20). 6080–6080. 2 indexed citations
3.
Lee, Jun‐Hyuk, Jiyeon Kim, Jung Oh Kim, et al.. (2023). Association of non-high-density lipoprotein cholesterol trajectories with the development of non-alcoholic fatty liver disease. Journal of Hepatology. 78. S662–S662.
4.
Yoon, Seung‐Hyun, George M. Segall, Min‐Hua Jen, et al.. (2023). EP12.02-09 Prevalence and Treatment of Advanced NSCLC patients with REarranged During Transfection [RET]-fusion at a South Korean Centre. Journal of Thoracic Oncology. 18(11). S677–S678. 1 indexed citations
5.
Lee, Jun‐Hyuk, Jiyeon Kim, Jung Oh Kim, & Yu‐Jin Kwon. (2023). Association of non-high-density lipoprotein cholesterol trajectories with the development of non-alcoholic fatty liver disease: an epidemiological and genome-wide association study. Journal of Translational Medicine. 21(1). 7 indexed citations
6.
Kim, Jung Oh, et al.. (2022). Identifi cation of the Underlying Genetic Factors of Skin Aging in a Korean Population Study.. PubMed. 72(1). 63–80. 7 indexed citations
7.
Kim, Jung Oh, Jung Oh Kim, Han Sung Park, et al.. (2020). Genetic Variants of HOTAIR Associated With Colorectal Cancer Susceptibility and Mortality. Frontiers in Oncology. 10. 72–72. 31 indexed citations
8.
9.
Oh, Jisu, Hui Jeong An, Jung Oh Kim, et al.. (2020). Association between Five Common Plasminogen Activator Inhibitor-1 (PAI-1) Gene Polymorphisms and Colorectal Cancer Susceptibility. International Journal of Molecular Sciences. 21(12). 4334–4334. 8 indexed citations
10.
Yun, Jae Won, Jisu Oh, Jung Oh Kim, et al.. (2020). Distinct genetic profile with recurrent population-specific missense variants in Korean adult atypical hemolytic uremic syndrome. Thrombosis Research. 194. 45–53. 6 indexed citations
11.
Ahn, Eun Hee, Jung Oh Kim, Han Sung Park, et al.. (2019). Associations between microRNA (miR-25, miR-32, miR-125, and miR-222) polymorphisms and recurrent implantation failure in Korean women. Human Genomics. 13(1). 68–68. 12 indexed citations
12.
Park, Han Sung, Eun Sun Kim, Eun Hee Ahn, et al.. (2019). The microRNApolymorphisms inmiR-150 and miR-1179 are associated with risk of idiopathic recurrent pregnancy loss. Reproductive BioMedicine Online. 39(2). 187–195. 11 indexed citations
13.
Kim, Jung Oh, Jinkwon Kim, Seung Hun Oh, et al.. (2018). Association of MicroRNA Biogenesis Genes Polymorphisms with Ischemic Stroke Susceptibility and Post-Stroke Mortality. Journal of Stroke. 20(1). 110–121. 18 indexed citations
14.
Shin, Dong Ah, Young Joo Jeon, Hemant Kumar, et al.. (2016). Association of miR-146a, miR-149, miR-196a2, and miR-499 Polymorphisms with Ossification of the Posterior Longitudinal Ligament of the Cervical Spine. PLoS ONE. 11(7). e0159756–e0159756. 14 indexed citations
15.
Kim, Jinkwon, Jung Oh Kim, Seung Hun Oh, et al.. (2016). Association of the Single Nucleotide Polymorphisms in microRNAs 130b, 200b, and 495 with Ischemic Stroke Susceptibility and Post-Stroke Mortality. PLoS ONE. 11(9). e0162519–e0162519. 22 indexed citations
16.
Sung, Jung‐Hoon, et al.. (2016). miRNA polymorphisms (miR-146a, miR-149, miR-196a2 and miR-499) are associated with the risk of coronary artery disease. Molecular Medicine Reports. 14(3). 2328–2342. 51 indexed citations
17.
Cho, Sung Hwan, Jung Jae Ko, Jung Oh Kim, et al.. (2015). 3’-UTR Polymorphisms in the MiRNA Machinery Genes DROSHA, DICER1, RAN, and XPO5 Are Associated with Colorectal Cancer Risk in a Korean Population. PLoS ONE. 10(7). e0131125–e0131125. 44 indexed citations
18.
19.
Seo, Jeong‐Sun, Young Seok Ju, Won‐Chul Lee, et al.. (2012). The transcriptional landscape and mutational profile of lung adenocarcinoma. Genome Research. 22(11). 2109–2119. 427 indexed citations
20.
Baehring, Joachim M., et al.. (2006). Chondrosarcoma of the Skull Base. Journal of Neuro-Oncology. 76(1). 49–49. 3 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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