Jin‐Myung Jung

1.4k total citations
58 papers, 1.2k citations indexed

About

Jin‐Myung Jung is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jin‐Myung Jung has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Jin‐Myung Jung's work include Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Jin‐Myung Jung is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (7 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Jin‐Myung Jung collaborates with scholars based in South Korea, United States and Japan. Jin‐Myung Jung's co-authors include Won Sup Lee, Gon Sup Kim, Soon‐Chan Hong, Kjeld J. C. van Bommel, Sung Chul Shin, Hye Jung Kim, S. SHINKAI, Yung Hyun Choi, Chung Ho Ryu and Doheon Lee and has published in prestigious journals such as Advanced Materials, Bioinformatics and PLoS ONE.

In The Last Decade

Jin‐Myung Jung

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Myung Jung South Korea 20 543 241 161 133 119 58 1.2k
Yumiko Hori Japan 20 505 0.9× 290 1.2× 130 0.8× 88 0.7× 91 0.8× 91 1.4k
Xiaojie Ma China 23 762 1.4× 140 0.6× 190 1.2× 86 0.6× 233 2.0× 68 1.5k
Haigang Li China 26 562 1.0× 438 1.8× 187 1.2× 116 0.9× 122 1.0× 101 1.8k
Lijun Zhang China 22 722 1.3× 194 0.8× 178 1.1× 30 0.2× 150 1.3× 63 1.4k
Alok Ranjan United States 18 610 1.1× 242 1.0× 221 1.4× 53 0.4× 114 1.0× 38 1.1k
Amelia Barilli Italy 23 472 0.9× 313 1.3× 105 0.7× 52 0.4× 76 0.6× 52 1.4k
Guobing� Li China 23 805 1.5× 121 0.5× 205 1.3× 37 0.3× 220 1.8× 47 1.4k
Peng Gong China 21 467 0.9× 399 1.7× 216 1.3× 39 0.3× 224 1.9× 68 1.2k
Jason Zastre United States 21 325 0.6× 327 1.4× 95 0.6× 151 1.1× 40 0.3× 35 1.2k

Countries citing papers authored by Jin‐Myung Jung

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Myung Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Myung Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Myung Jung. A scholar is included among the top collaborators of Jin‐Myung Jung 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 Jin‐Myung Jung. Jin‐Myung Jung 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
2.
Jung, Jin‐Myung, et al.. (2025). FeatherFace: Robust and Lightweight Face Detection via Optimal Feature Integration. Electronics. 14(3). 517–517.
3.
Hwang, Yongdeuk, et al.. (2024). Identification of novel membrane markers in circulating tumor cells of mesenchymal state in breast cancer. Biochemistry and Biophysics Reports. 38. 101652–101652.
4.
Jung, Eun Joo, Hye Jung Kim, Sung Chul Shin, et al.. (2024). Anticancer Effect by Combined Treatment of Artemisia annua L. Polyphenols and Docetaxel in DU145 Prostate Cancer Cells and HCT116 Colorectal Cancer Cells. Current Issues in Molecular Biology. 46(2). 1621–1634. 2 indexed citations
5.
Jung, Eun Joo, Hye Jung Kim, Sung Chul Shin, et al.. (2023). Artemisia annua L. Polyphenols Enhance the Anticancer Effect of β-Lapachone in Oxaliplatin-Resistant HCT116 Colorectal Cancer Cells. International Journal of Molecular Sciences. 24(24). 17505–17505. 5 indexed citations
6.
Jung, Jin‐Myung & Sunyong Yoo. (2023). Identification of Breast Cancer Metastasis Markers from Gene Expression Profiles Using Machine Learning Approaches. Genes. 14(9). 1820–1820. 8 indexed citations
7.
Jung, Eun Joo, Se‐Il Go, Bae Kwon Jeong, et al.. (2021). Activated ERK Signaling Is One of the Major Hub Signals Related to the Acquisition of Radiotherapy-Resistant MDA-MB-231 Breast Cancer Cells. International Journal of Molecular Sciences. 22(9). 4940–4940. 14 indexed citations
8.
Hwangbo, Hyun, Won Sup Lee, Arulkumar Nagappan, et al.. (2019). Morin enhances auranofin anticancer activity by up‐regulation of DR4 and DR5 and modulation of Bcl‐2 through reactive oxygen species generation in Hep3B human hepatocellular carcinoma cells. Phytotherapy Research. 33(5). 1384–1393. 23 indexed citations
9.
Jung, Jin‐Myung, et al.. (2018). Petri net-based prediction of therapeutic targets that recover abnormally phosphorylated proteins in muscle atrophy. BMC Systems Biology. 12(1). 26–26. 1 indexed citations
10.
Jung, Jin‐Myung, et al.. (2018). Deconvoluting essential gene signatures for cancer growth from genomic expression in compound-treated cells. Bioinformatics. 35(7). 1167–1173. 1 indexed citations
11.
Kwon, Mijin, et al.. (2017). HIDEEP: a systems approach to predict hormone impacts on drug efficacy based on effect paths. Scientific Reports. 7(1). 16600–16600. 6 indexed citations
12.
Park, Junseok, et al.. (2016). Prediction of drugs having opposite effects on disease genes in a directed network. BMC Systems Biology. 10(S1). 2–2. 22 indexed citations
13.
Park, In Sung, et al.. (2015). Analysis of the Risk Factors Affecting the Surgical Site Infection after Cranioplasty Following Decompressive Craniectomy. Korean Journal of Neurotrauma. 11(2). 100–100. 17 indexed citations
14.
Lee, Won Sup, Jeong Won Yun, Arulkumar Nagappan, et al.. (2015). Tetraarsenic hexoxide demonstrates anticancer activity at least in part through suppression of NF-κB activity in SW620 human colon cancer cells. Oncology Reports. 33(6). 2940–2946. 12 indexed citations
15.
Lee, Won Sup, Jeong Won Yun, Arulkumar Nagappan, et al.. (2015). Flavonoids from Orostachys Japonicus A. Berger Induces Caspase-dependent Apoptosis at Least Partly through Activation of p38 MAPK Pathway in U937 Human Leukemic Cells. Asian Pacific Journal of Cancer Prevention. 16(2). 465–469. 17 indexed citations
16.
Lee, Won Sup, Jeong Won Yun, Arulkumar Nagappan, et al.. (2014). Synthesized tetrahydroisoquinoline alkaloid exerts anticancer effects at least in part by suppressing NF-κB-regulated proteins in A549 human lung cancer cells. Oncology Reports. 33(3). 1141–1146. 5 indexed citations
17.
Kim, Chan, Hanseul Yang, Yoko Fukushima, et al.. (2014). Vascular RhoJ Is an Effective and Selective Target for Tumor Angiogenesis and Vascular Disruption. Cancer Cell. 25(1). 102–117. 109 indexed citations
18.
Hwang, Woochang, Jaejoon Choi, Jin‐Myung Jung, & Doheon Lee. (2013). BSML. 19–20. 2 indexed citations
19.
Kim, Dong-Seok, et al.. (2002). Optic sheath schwannomas: report of two cases. Child s Nervous System. 18(12). 684–689. 22 indexed citations
20.
Jung, Jin‐Myung, Hong Li, Tohru Kobayashi, et al.. (1995). Inhibition of human glioblastoma cell growth by WAF1/Cip1 can be attenuated by mutant p53.. PubMed. 6(8). 909–13. 13 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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