Eiru Kim
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- Gene Regulatory Network Analysis
- RNA modifications and cancer
Papers in
-
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 8
- Gene Regulatory Network Analysis 5
- CRISPR and Genetic Engineering 4
- Biomedical Text Mining and Ontologies 3
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Insuk Lee (18 shared papers)Sohyun Hwang (10 shared papers)Traver Hart (9 shared papers)Edward M. Marcotte (6 shared papers)Sunmo Yang (9 shared papers)Chan Yeong Kim (4 shared papers)Jung Eun Shim (5 shared papers)Hyojin Kim (5 shared papers)
- Journals
- Nucleic Acids Research (10 papers)Scientific Reports (3 papers)Genome biology (3 papers)Nature (1 paper)Life Science Alliance (1 paper)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Eiru Kim
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 320
- Molecular Biology 1.3k
- Immunology 219
- Genetics 278
- Oncology 205
Countries citing papers authored by Eiru Kim
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
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-authors
The 25 scholars most cited alongside Eiru Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 338 | |
| 2 | 2015 | 320 | |
| 3 | 2015 | 230 | |
| 4 | 2018 | 160 | |
| 5 | 2014 | 138 | |
| 6 | 2016 | 117 | |
| 7 | 2016 | 90 | |
| 8 | 2021 | 86 | |
| 9 | 2016 | 85 | |
| 10 | 2021 | 80 | |
| 11 | 2020 | 75 | |
| 12 | 2019 | 64 | |
| 13 | 2013 | 61 | |
| 14 | 2016 | 55 | |
| 15 | 2015 | 30 | |
| 16 | 2013 | 25 | |
| 17 | 2016 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2014 | 14 | |
| 20 | 2015 | 14 |
About Eiru Kim
Eiru Kim is a scholar working on Molecular Biology, Cancer Research, Genetics, Genetics and Hematology, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (8 papers), Gene Regulatory Network Analysis (5 papers), CRISPR and Genetic Engineering (4 papers), Biomedical Text Mining and Ontologies (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Phylogenetic Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (320 citations), Molecular Biology (1.3k citations), Immunology (219 citations), Genetics (278 citations) and Oncology (205 citations). Eiru Kim has collaborated with scholars based in South Korea, United States and Spain. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Genome biology, Nature and Life Science Alliance.
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.