Eiru Kim

2.9k total citations
23 papers, 1.2k citations indexed

About

Eiru Kim is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Eiru Kim has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Eiru Kim's work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (9 papers) and Gene Regulatory Network Analysis (5 papers). Eiru Kim is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (9 papers) and Gene Regulatory Network Analysis (5 papers). Eiru Kim collaborates with scholars based in South Korea, United States and Spain. Eiru Kim's co-authors include Insuk Lee, Sohyun Hwang, Traver Hart, Edward M. Marcotte, Sunmo Yang, Chan Yeong Kim, Jung Eun Shim, Hyojin Kim, Hongseok Shim and Merve Dede and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Eiru Kim

23 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
Eiru Kim South Korea 15 980 246 245 148 53 23 1.2k
Karyn Mégy United Kingdom 13 790 0.8× 149 0.6× 287 1.2× 135 0.9× 41 0.8× 25 1.3k
Arek Kasprzyk United Kingdom 8 1.2k 1.2× 193 0.8× 352 1.4× 124 0.8× 25 0.5× 10 1.6k
Margus Lukk United Kingdom 13 1.2k 1.3× 228 0.9× 273 1.1× 183 1.2× 50 0.9× 17 1.6k
Daniel Tabas‐Madrid Spain 11 589 0.6× 174 0.7× 92 0.4× 94 0.6× 45 0.8× 14 852
Robert Petryszak United Kingdom 9 973 1.0× 176 0.7× 133 0.5× 103 0.7× 136 2.6× 11 1.3k
N. N. Kolesnikov Russia 13 1.1k 1.2× 401 1.6× 253 1.0× 136 0.9× 72 1.4× 26 1.4k
Robin Haw Canada 17 1.2k 1.2× 101 0.4× 111 0.5× 194 1.3× 68 1.3× 27 1.5k
Fuxiao Xin United States 8 1.1k 1.1× 173 0.7× 323 1.3× 37 0.3× 57 1.1× 10 1.3k
Bethan Yates United Kingdom 7 812 0.8× 233 0.9× 202 0.8× 41 0.3× 80 1.5× 7 1.1k
Brian T. Lee United States 6 889 0.9× 242 1.0× 205 0.8× 82 0.6× 11 0.2× 8 1.1k

Countries citing papers authored by Eiru Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eiru Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eiru Kim. 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 Eiru Kim. The network helps show where Eiru Kim may publish in the future.

Co-authorship network of co-authors of Eiru Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eiru Kim. A scholar is included among the top collaborators of Eiru Kim 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 Eiru Kim. Eiru Kim 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.
Kim, Eiru, et al.. (2022). Dynamic rewiring of biological activity across genotype and lineage revealed by context-dependent functional interactions. Genome biology. 23(1). 140–140. 10 indexed citations
2.
Yoshihama, Yohei, Kyle A. LaBella, Eiru Kim, et al.. (2021). AR-negative prostate cancer is vulnerable to loss of JMJD1C demethylase. Proceedings of the National Academy of Sciences. 118(36). 10 indexed citations
3.
Kim, Eiru & Traver Hart. (2021). Improved analysis of CRISPR fitness screens and reduced off-target effects with the BAGEL2 gene essentiality classifier. Genome Medicine. 13(1). 2–2. 61 indexed citations
4.
Lenoir, Walter F., Peter C. DeWeirdt, Megan McLaughlin, et al.. (2021). Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells. Nature Communications. 12(1). 6506–6506. 16 indexed citations
5.
Kim, Chan Yeong, Sunmo Yang, Eiru Kim, et al.. (2021). HumanNet v3: an improved database of human gene networks for disease research. Nucleic Acids Research. 50(D1). D632–D639. 78 indexed citations
6.
Dede, Merve, Megan McLaughlin, Eiru Kim, & Traver Hart. (2020). Multiplex enCas12a screens detect functional buffering among paralogs otherwise masked in monogenic Cas9 knockout screens. Genome biology. 21(1). 262–262. 66 indexed citations
7.
Kim, Eiru & Insuk Lee. (2017). Network-Based Gene Function Prediction in Mouse and Other Model Vertebrates Using MouseNet Server. Methods in molecular biology. 1611. 183–198. 3 indexed citations
8.
Kim, Eiru, et al.. (2016). Microvesicles from brain-extract—treated mesenchymal stem cells improve neurological functions in a rat model of ischemic stroke. Scientific Reports. 6(1). 33038–33038. 82 indexed citations
9.
Yang, Sunmo, Chan Yeong Kim, Sohyun Hwang, et al.. (2016). COEXPEDIA: exploring biomedical hypotheses via co-expressions associated with medical subject headings (MeSH). Nucleic Acids Research. 45(D1). D389–D396. 81 indexed citations
10.
Kim, Eiru, Sohyun Hwang, & Insuk Lee. (2016). SoyNet: a database of co-functional networks for soybeanGlycine max. Nucleic Acids Research. 45(D1). D1082–D1089. 46 indexed citations
11.
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
12.
Kim, Eiru, Sohyun Hwang, Hyojin Kim, et al.. (2015). MouseNet v2: a database of gene networks for studying the laboratory mouse and eight other model vertebrates. Nucleic Acids Research. 44(D1). D848–D854. 28 indexed citations
13.
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
14.
Hwang, Sohyun, Eiru Kim, Insuk Lee, & Edward M. Marcotte. (2015). Systematic comparison of variant calling pipelines using gold standard personal exome variants. Scientific Reports. 5(1). 17875–17875. 204 indexed citations
15.
Lee, Insuk, Eiru Kim, & Edward M. Marcotte. (2015). Modes of Interaction between Individuals Dominate the Topologies of Real World Networks. PLoS ONE. 10(3). e0121248–e0121248. 4 indexed citations
16.
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
17.
Hwang, Sohyun, Eiru Kim, Sunmo Yang, Edward M. Marcotte, & Insuk Lee. (2014). MORPHIN: a web tool for human disease research by projecting model organism biology onto a human integrated gene network. Nucleic Acids Research. 42(W1). W147–W153. 13 indexed citations
18.
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
19.
Kim, Eiru, Hanhae Kim, & Insuk Lee. (2013). JiffyNet: a web-based instant protein network modeler for newly sequenced species. Nucleic Acids Research. 41(W1). W192–W197. 24 indexed citations
20.
Kim, Eiru, Jae‐Yoon Shin, & Insuk Lee. (2010). Assessment of effectiveness of the network-guided genetic screen. Molecular BioSystems. 6(10). 1803–1806. 3 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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