Yeun Jun Chung

963 total citations
13 papers, 693 citations indexed

About

Yeun Jun Chung is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Yeun Jun Chung has authored 13 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Yeun Jun Chung's work include Renal and related cancers (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Genetic factors in colorectal cancer (2 papers). Yeun Jun Chung is often cited by papers focused on Renal and related cancers (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Genetic factors in colorectal cancer (2 papers). Yeun Jun Chung collaborates with scholars based in South Korea, United Kingdom and Switzerland. Yeun Jun Chung's co-authors include Sug Hyung Lee, Nam Jin Yoo, Allan Bradley, Ruby Banerjee, Kazuya Iwamoto, Satoko Ise, Tadafumi Kato, Koichi Tanda, Tsuyoshi Miyakawa and Jin Nakatani and has published in prestigious journals such as Cell, Nature Genetics and Bioinformatics.

In The Last Decade

Yeun Jun Chung

13 papers receiving 683 citations

Peers

Yeun Jun Chung
Wang Ch Taiwan
Jason J. Siu United States
Jamie M. Aye United States
Hamid Dolatshad United Kingdom
Katherine Lachlan United Kingdom
Leah Hutnick United States
Yeun Jun Chung
Citations per year, relative to Yeun Jun Chung Yeun Jun Chung (= 1×) peers Daniela Orteschi

Countries citing papers authored by Yeun Jun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yeun Jun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeun Jun Chung. 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 Yeun Jun Chung. The network helps show where Yeun Jun Chung may publish in the future.

Co-authorship network of co-authors of Yeun Jun Chung

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

All Works

13 of 13 papers shown
1.
Choi, Youn Jin, Hye Rim Oh, Chang Hyeok An, et al.. (2014). Frameshift mutation of a histone methylation-related gene SETD1B and its regional heterogeneity in gastric and colorectal cancers with high microsatellite instability. Human Pathology. 45(8). 1674–1681. 35 indexed citations
2.
An, Chang Hyeok, et al.. (2014). Mutational and expressional analysis ofERBB3gene in common solid cancers. Apmis. 122(12). 1207–1212. 9 indexed citations
3.
Lee, Sun-Young, Jik Young Park, Sang Sun Lee, et al.. (2013). Wilms’ tumor gene 1 enhances nutlin-3-induced apoptosis. Oncology Reports. 31(1). 131–136. 6 indexed citations
4.
Ha, Seon-Ah, Jinah Yoo, Seung Min Shin, et al.. (2010). Transdifferentiation-inducing HCCR-1 oncogene. BMC Cell Biology. 11(1). 49–49. 20 indexed citations
5.
Ha, Seon-Ah, Seung Min Shin, Hyun Kee Kim, et al.. (2010). Dual action of apolipoprotein E-interacting HCCR-1 oncoprotein and its implication for breast cancer and obesity. Journal of Cellular and Molecular Medicine. 13(9b). 3868–3875. 6 indexed citations
6.
Gim, Jungsoo, Ho‐Shik Kim, Junil Kim, et al.. (2010). A system-level investigation into the cellular toxic response mechanism mediated by AhR signal transduction pathway. Bioinformatics. 26(17). 2169–2175. 8 indexed citations
7.
Choi, Jong Young, Hyun Young Woo, Jin-Dong Kim, et al.. (2009). High expression of Snail mRNA in blood from hepatocellular carcinoma patients with extra-hepatic metastasis. Clinical & Experimental Metastasis. 26(7). 759–767. 28 indexed citations
8.
Nakatani, Jin, Kota Tamada, Fumiyuki Hatanaka, et al.. (2009). Abnormal Behavior in a Chromosome- Engineered Mouse Model for Human 15q11-13 Duplication Seen in Autism. Cell. 137(7). 1235–1246. 357 indexed citations
10.
Ha, Seon-Ah, Seung Min Shin, Hyun Kee Kim, et al.. (2009). Dual action of apolipoprotein E-interacting HCCR-1 oncoprotein and its implication for breast cancer and obesity. Journal of Cellular and Molecular Medicine. no–no. 4 indexed citations
11.
Jeong, Eun Goo, Min Sung Kim, Chang Ki Min, et al.. (2008). Somatic Mutations of JAK1 and JAK3 in Acute Leukemias and Solid Cancers. Clinical Cancer Research. 14(12). 3716–3721. 144 indexed citations
12.
Chung, Yeun Jun, Hae Myung Jeon, Hong Namkoong, et al.. (2006). HCCR-1–Interacting Molecule “Deleted in Polyposis 1” Plays a Tumor-Suppressor Role in Colon Carcinogenesis. Gastroenterology. 130(7). 2074–2086. 13 indexed citations
13.
Adams, David J., Emmanouil T. Dermitzakis, Tony Cox, et al.. (2005). Complex haplotypes, copy number polymorphisms and coding variation in two recently divergent mouse strains. Nature Genetics. 37(5). 532–536. 50 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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