Jung Eun Shim
- Molecular Biology top 10%
- Genetics top 10%
- Cancer Research
- Plant Science
- Computational Theory and Mathematics top 10%
- Topics
- Bioinformatics and Genomic Networks (15 papers)Gene expression and cancer classification (9 papers)Genetic Associations and Epidemiology (3 papers)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Jung Eun Shim
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 887
- Genetics 205
- Cancer Research 138
- Plant Science 133
- Computational Theory and Mathematics 76
Countries citing papers authored by Jung Eun Shim
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 20 | |
| 8 | 18 | |
| 9 | 107 | |
| 10 | 14 | |
| 11 | 61 | |
| 12 | 14 | |
| 13 | 24 | |
| 14 | 13 | |
| 15 | 128 | |
| 16 | 59 | |
| 17 | Prioritizing candidate disease genes by network-based boosting of genome-wide association databreakdown → | 498 |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 26 |
About Jung Eun Shim
Jung Eun Shim is a scholar working on Molecular Biology, Reproductive Medicine and Dermatology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (9 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Molecular Biology (887 citations), Cancer Research (138 citations) and Genetics (205 citations). Jung Eun Shim has collaborated with scholars based in South Korea, United States and Taiwan. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.