Eun‐Jung Cho

15.2k total citations · 1 hit paper
249 papers, 6.9k citations indexed

About

Eun‐Jung Cho is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Eun‐Jung Cho has authored 249 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 28 papers in Oncology and 18 papers in Cancer Research. Recurrent topics in Eun‐Jung Cho's work include Genomics and Chromatin Dynamics (25 papers), RNA Research and Splicing (24 papers) and Epigenetics and DNA Methylation (23 papers). Eun‐Jung Cho is often cited by papers focused on Genomics and Chromatin Dynamics (25 papers), RNA Research and Splicing (24 papers) and Epigenetics and DNA Methylation (23 papers). Eun‐Jung Cho collaborates with scholars based in South Korea, United States and China. Eun‐Jung Cho's co-authors include Stephen Buratowski, Hong‐Duk Youn, Philip Komarnitsky, Hyonchol Jang, Toshimitsu Takagi, Hyungsoo Kim, Seong‐Tae Kim, Min Kyu Kim, Jack Greenblatt and Michael S. Kobor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Eun‐Jung Cho

227 papers receiving 6.7k citations

Hit Papers

Different phosphorylated forms of RNA polymerase II and a... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun‐Jung Cho South Korea 43 5.0k 793 749 517 485 249 6.9k
Li‐Rong Yu United States 46 5.1k 1.0× 728 0.9× 880 1.2× 548 1.1× 432 0.9× 155 7.6k
René P. Zahedi Germany 48 5.7k 1.1× 525 0.7× 655 0.9× 459 0.9× 481 1.0× 170 8.1k
Alan J. Tackett United States 43 5.8k 1.2× 535 0.7× 833 1.1× 379 0.7× 499 1.0× 150 7.5k
Qiang Chen China 42 3.2k 0.6× 761 1.0× 688 0.9× 409 0.8× 346 0.7× 254 5.9k
Samuel K. Kulp United States 40 2.8k 0.6× 738 0.9× 1.0k 1.4× 408 0.8× 346 0.7× 120 4.4k
Tapas K. Hazra United States 53 6.6k 1.3× 1.4k 1.7× 1.1k 1.5× 372 0.7× 409 0.8× 109 7.9k
Kai Wang China 33 3.0k 0.6× 784 1.0× 544 0.7× 553 1.1× 713 1.5× 155 5.2k
Rong‐Fong Shen United States 36 5.2k 1.1× 1.1k 1.4× 450 0.6× 302 0.6× 566 1.2× 96 7.0k
Ezra Burstein United States 39 2.5k 0.5× 709 0.9× 820 1.1× 669 1.3× 961 2.0× 88 4.9k
Jing Liang China 41 5.0k 1.0× 967 1.2× 1.2k 1.6× 352 0.7× 753 1.6× 124 7.2k

Countries citing papers authored by Eun‐Jung Cho

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Jung Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Jung Cho. 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 Eun‐Jung Cho. The network helps show where Eun‐Jung Cho may publish in the future.

Co-authorship network of co-authors of Eun‐Jung Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Jung Cho. A scholar is included among the top collaborators of Eun‐Jung Cho 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 Eun‐Jung Cho. Eun‐Jung Cho 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.
Lee, Su Kyung, You La Jeon, Eun‐Jung Cho, et al.. (2025). Surge of human astrovirus type 1 infection in summer 2022 in Korea. Epidemiology and Infection. 153. e2–e2. 1 indexed citations
3.
Jo, Min Jee, Ji Eun Kim, Eun‐Jung Cho, et al.. (2023). Impaired NRF2 Inhibits Recovery from Ischemic Reperfusion Injury in the Aging Kidney. Antioxidants. 12(7). 1440–1440. 9 indexed citations
4.
Cho, Younghee, et al.. (2021). Effect of Smart Education Intervention Programs for At-risk Learners: A Systematic Meta-analysis. The Journal of Special Children Education. 23(1). 51–84.
5.
Kim, Seon-Hee, Rohit Kumar Singh, Chungyong Han, et al.. (2020). Chronic activation of 4-1BB signaling induces granuloma development in tumor-draining lymph nodes that is detrimental to subsequent CD8+ T cell responses. Cellular and Molecular Immunology. 18(8). 1956–1968. 11 indexed citations
6.
Kim, Sung Hwan, Hyun Jeong Kim, Jung Mi Lim, et al.. (2020). Analysis of Work Activities and Proportion of Time Performed by Hospital Pharmacists. 37(2). 126–150. 6 indexed citations
7.
Kim, Hyun‐Jung, Young Ok Kim, Yonggoo Kim, et al.. (2019). Small Red Blood Cell Fraction on the UF-1000i Urine Analyzer as a Screening Tool to Detect Dysmorphic Red Blood Cells for Diagnosing Glomerulonephritis. Annals of Laboratory Medicine. 39(3). 271–277. 8 indexed citations
8.
Kim, Heeju, et al.. (2018). An Analysis of the Effects of the Synthetic Phonics Program on Phonological Awareness Skills of Underachieving Children. The Journal of Special Children Education. 20(2). 25–50. 1 indexed citations
9.
10.
Shin, Jihoon, Tae Wan Kim, Hyunsoo Kim, et al.. (2016). Aurkb/PP1-mediated resetting of Oct4 during the cell cycle determines the identity of embryonic stem cells. eLife. 5. e10877–e10877. 37 indexed citations
11.
Cho, Eun‐Jung, et al.. (2015). The Effect of Merger and Acquisition on Audit Fee. 57(1). 1–41. 1 indexed citations
12.
Kim, Ki‐Uk, Eun‐Jung Cho, Mi‐Hyun Kim, et al.. (2013). Association of Health-Related Quality of Life With Disease Severity in Patients With Chronic Obstructive Pulmonary Disease. CHEST Journal. 144(4). 720A–720A. 1 indexed citations
13.
Lee, Sang Ki, Myoung Soo Park, Hee Kyoung Joo, et al.. (2011). Apurinic/apyrimidinic endonuclease 1 inhibits protein kinase C-mediated p66shc phosphorylation and vasoconstriction. Cardiovascular Research. 91(3). 502–509. 28 indexed citations
14.
Cho, Eun‐Jung, et al.. (2010). Development of Evaluation Indicators on Improvement Level of Rural Village Roads in Korea. Journal of Korean Society of Rural Planning. 16(3). 159–171. 1 indexed citations
15.
You, Jueng Soo, Jaeku Kang, Dong Wan Seo, et al.. (2009). Depletion of Embryonic Stem Cell Signature by Histone Deacetylase Inhibitor in NCCIT Cells: Involvement of Nanog Suppression. Cancer Research. 69(14). 5716–5725. 45 indexed citations
16.
Kim, Hyun Jung, et al.. (2006). Estimation of Daily Exposure to 3-Monochloropropane-1,2-diol from Commercial Soy Sauces in Korea. Food Science and Biotechnology. 15(5). 118–122. 8 indexed citations
17.
Sohn, Sea Hwan, et al.. (2006). Cytogenetic Characteristics of Chinese Hamster Ovarian Cell CHO-K1. 30(4). 263–270. 1 indexed citations
18.
Cho, Eun‐Jung, et al.. (2006). Effects of Education for Safe Handling of Cytotoxic Drugs on Knowledge and Practice in Oncology Nurses. Asian Oncology Nursing. 6(1). 47–53. 2 indexed citations
19.
Cho, Eun‐Jung & Bok Yae Chung. (2002). Embarrassment: a concept analysis. 14(2). 276–286. 3 indexed citations
20.
Keogh, Michael‐Christopher, Eun‐Jung Cho, Vladimir Podolny, & Stephen Buratowski. (2002). Kin28 Is Found within TFIIH and a Kin28-Ccl1-Tfb3 Trimer Complex with Differential Sensitivities to T-Loop Phosphorylation. Molecular and Cellular Biology. 22(5). 1288–1297. 61 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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