Jung Eun Shim

2.0k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Jung Eun Shim is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Jung Eun Shim has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Spectroscopy. Recurrent topics in Jung Eun Shim's work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (9 papers) and Genetic Associations and Epidemiology (3 papers). Jung Eun Shim is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (9 papers) and Genetic Associations and Epidemiology (3 papers). Jung Eun Shim collaborates with scholars based in South Korea, United States and Taiwan. Jung Eun Shim's co-authors include Insuk Lee, Edward M. Marcotte, Peggy I. Wang, Eiru Kim, Junha Shin, Sohyun Hwang, Hyojin Kim, Tak Lee, Sunmo Yang and Ben Lehner and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Jung Eun Shim

22 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prioritizing candidate disease genes by network-based boosting of genome-wide association data

2011 498 citations Insuk Lee, Peggy I. Wang et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jung Eun Shim South Korea	14	887	205	138	133	76	24	1.1k
Eiru Kim South Korea	15	980 1.1×	245 1.2×	246 1.8×	148 1.1×	53 0.7×	23	1.2k
Robert Petryszak United Kingdom	9	973 1.1×	133 0.6×	176 1.3×	103 0.8×	136 1.8×	11	1.3k
Robin Haw Canada	17	1.2k 1.3×	111 0.5×	101 0.7×	194 1.5×	68 0.9×	27	1.5k
Shu Tadaka Japan	14	738 0.8×	189 0.9×	83 0.6×	264 2.0×	42 0.6×	27	1.0k
Rohith Srivas United States	15	1.7k 1.9×	209 1.0×	214 1.6×	63 0.5×	132 1.7×	22	1.8k
N. N. Kolesnikov Russia	13	1.1k 1.3×	253 1.2×	401 2.9×	136 1.0×	72 0.9×	26	1.4k
Yedael Y. Waldman Israel	10	918 1.0×	221 1.1×	114 0.8×	33 0.2×	96 1.3×	14	1.1k
Shiva Kumar India	8	670 0.8×	100 0.5×	130 0.9×	51 0.4×	79 1.0×	13	1.1k
Stan Letovsky United States	7	786 0.9×	88 0.4×	133 1.0×	168 1.3×	75 1.0×	11	872
Peggy I. Wang United States	8	1.3k 1.4×	215 1.0×	492 3.6×	73 0.5×	66 0.9×	10	1.4k

Countries citing papers authored by Jung Eun Shim

Since Specialization

Citations

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

Fields of papers citing papers by Jung Eun Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung Eun Shim

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

All Works

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20 of 20 papers shown

Shim, Jung Eun, et al.. (2025). Gene Expression Profiling and Pathway Analysis of the Effect of Dienogest on Ovarian Endometriosis: A Comparative Study. Yonsei Medical Journal. 66(11). 780–780. 1 indexed citations

Lee, Young In, Jung Eun Shim, Si‐Hyung Lee, et al.. (2024). Heterogeneity in Keloid Scars: Influence of Mechanical Stretching on Keloids Arising from Different Anatomical Sites. Journal of Investigative Dermatology. 145(3). 710–713.e7. 1 indexed citations

Lee, Hyun-Sook, Sung‐Huan Yu, Jung Eun Shim, & Dongeun Yong. (2024). Use of a combined antibacterial synergy approach and the ANNOgesic tool to identify novel targets within the gene networks of multidrug-resistant Klebsiella pneumoniae. mSystems. 9(3). e0087723–e0087723. 1 indexed citations

Shim, Jung Eun & Insuk Lee. (2019). Construction of Functional Protein Networks Using Domain Profile Associations. Methods in molecular biology. 2074. 35–44. 2 indexed citations

Shim, Jung Eun, Ji Hyun Kim, Junha Shin, Ji Eun Lee, & Insuk Lee. (2019). Pathway-specific protein domains are predictive for human diseases. PLoS Computational Biology. 15(5). e1007052–e1007052. 8 indexed citations

Lee, Yong Jae, Jung Eun Shim, Sujin Bae, et al.. (2019). Genomic profiling of the residual disease of advanced high‐grade serous ovarian cancer after neoadjuvant chemotherapy. International Journal of Cancer. 146(7). 1851–1861. 14 indexed citations

Shim, Jung Eun, Sunmo Yang, Tak Lee, et al.. (2017). GWAB: a web server for the network-based boosting of human genome-wide association data. Nucleic Acids Research. 45(W1). W154–W161. 20 indexed citations

Shim, Jung Eun, Tak Lee, & Insuk Lee. (2017). From sequencing data to gene functions: co-functional network approaches. Animal Cells and Systems. 21(2). 77–83. 18 indexed citations

Cho, A‐Ra, Jung Eun Shim, Eiru Kim, et al.. (2016). MUFFINN: cancer gene discovery via network analysis of somatic mutation data. Genome biology. 17(1). 129–129. 107 indexed citations

10.

Shim, Jung Eun & Insuk Lee. (2016). Weighted mutual information analysis substantially improves domain-based functional network models. Bioinformatics. 32(18). 2824–2830. 14 indexed citations

11.

Lee, Tak, Taeyun Oh, Sunmo Yang, et al.. (2015). RiceNet v2: an improved network prioritization server for rice genes. Nucleic Acids Research. 43(W1). W122–W127. 61 indexed citations

12.

Shim, Jung Eun, Sohyun Hwang, & Insuk Lee. (2015). Pathway-Dependent Effectiveness of Network Algorithms for Gene Prioritization. PLoS ONE. 10(6). e0130589–e0130589. 14 indexed citations

13.

Kim, Hanhae, Kwang‐Woo Jung, Shinae Maeng, et al.. (2015). Network-assisted genetic dissection of pathogenicity and drug resistance in the opportunistic human pathogenic fungus Cryptococcus neoformans. Scientific Reports. 5(1). 8767–8767. 24 indexed citations

14.

Shin, Junha, Sunmo Yang, Eiru Kim, et al.. (2015). FlyNet: a versatile network prioritization server for theDrosophilacommunity. Nucleic Acids Research. 43(W1). W91–W97. 13 indexed citations

15.

Lee, Tak, Sunmo Yang, Eiru Kim, et al.. (2014). AraNet v2: an improved database of co-functional gene networks for the study of Arabidopsis thaliana and 27 other nonmodel plant species. Nucleic Acids Research. 43(D1). D996–D1002. 128 indexed citations

16.

Kim, Hanhae, Junha Shin, Eiru Kim, et al.. (2013). YeastNet v3: a public database of data-specific and integrated functional gene networks forSaccharomyces cerevisiae. Nucleic Acids Research. 42(D1). D731–D736. 59 indexed citations

17.

Lee, Insuk, et al.. (2011). Prioritizing candidate disease genes by network-based boosting of genome-wide association data. Genome Research. 21(7). 1109–1121. 498 indexed citations breakdown →

18.

Shim, Jung Eun & Won Suk Lee. (2008). On-line analytical framework for the 2-DE based proteome information. Expert Systems with Applications. 36(4). 7528–7534.

19.

Shim, Jung Eun & Won Suk Lee. (2005). A landmark extraction method for protein 2DE gel images based on multi-dimensional clustering. Artificial Intelligence in Medicine. 35(1-2). 157–170. 1 indexed citations

20.

Cho, Sang Yun, Kang‐Sik Park, Jung Eun Shim, et al.. (2002). An integrated proteome database for two-dimensional electrophoresis data analysis and laboratory information management system. PROTEOMICS. 2(9). 1104–1113. 26 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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