Yeun‐Jun Chung

5.0k citations
192 papers · 3.5k · h-index 33

Impact in

Papers in

    • RNA modifications and cancer 18
    • RNA Research and Splicing 8
    • Genomic variations and chromosomal abnormalities 28

Yeun‐Jun Chung

186 papers receiving 3.5k citations

Peers

Yeun‐Jun Chung
Comparison fields: 5 of 144
  • Cancer Research 706
  • Pathology and Forensic Medicine 458
  • Oncology 666
  • Genetics 606
  • Molecular Biology 1.2k
Replace Sumit Middha with:
Sumit Middha United States
Yong‐Jie Lu United Kingdom
Sílvia Regina Rogatto Brazil
Asta Försti Germany
Reinhard von Wasielewski Germany
Deborah J. Marsh Australia
Atsushi Kaneda Japan
Dominique Vidaud France
José Antonio López‐Guerrero Spain
Rama Modali United States
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Citations per field
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Sumit Middha · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yeun‐Jun Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yeun‐Jun Chung Line = papers co-authored together Yeun‐Jun Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022127
2 2015124
3 2015105
4 201895
5 200488
6
Microsatellite instability-associated mutations associate preferentially with the intestinal type of primary gastric carcinomas in a high-risk population.
199684
7 200881
8 201875
9 200972
10 201269
11 199768
12 201666
13 202163
14 200963
15 200559
16 201559
17 201358
18 200057
19 200653
20 201952

About Yeun‐Jun Chung

Yeun‐Jun Chung is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 192 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (28 papers), Cancer Genomics and Diagnostics (27 papers), Genetic factors in colorectal cancer (20 papers), RNA modifications and cancer (18 papers), Ovarian cancer diagnosis and treatment (8 papers), RNA Research and Splicing (8 papers), Chromosomal and Genetic Variations (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Cancer Research (706 citations), Pathology and Forensic Medicine (458 citations), Oncology (666 citations), Genetics (606 citations) and Molecular Biology (1.2k citations). Yeun‐Jun Chung has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Seung‐Hyun Jung, Seon‐Hee Yim, Tae‐Min Kim, Sug Hyung Lee, Sun Shin, Mun‐Gan Rhyu, Sung Hak Lee, Seung–Hun Shin, Hae‐Jin Hu and Sang‐Wook Choi. Their work appears in journals such as Oncotarget, Experimental & Molecular Medicine, HLA, The Journal of Pathology and Scientific Reports.

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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