Junha Shin
Impact in
- Aging top 10%
-
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Plant Gene Expression Analysis
Papers in
-
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 6
- Genomics and Phylogenetic Studies 5
- Single-cell and spatial transcriptomics 3
- Microbial Metabolic Engineering and Bioproduction 3
- Fungal and yeast genetics research 2
- Genetics 6
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Insuk Lee (13 shared papers)Jung Eun Shim (7 shared papers)Sohyun Hwang (6 shared papers)Hyojin Kim (4 shared papers)Hanhae Kim (5 shared papers)Hongseok Shim (4 shared papers)Tak Lee (3 shared papers)Eiru Kim (3 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Genome Research (2 papers)PLoS Computational Biology (2 papers)Nature Communications (1 paper)Current Opinion in Plant Biology (1 paper)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Junha Shin
23 papers receiving 671 citations
Peers
Comparison fields: 5 of 80
- Aging 24
- Molecular Biology 461
- Genetics 129
- Parasitology 29
- Plant Science 142
Countries citing papers authored by Junha Shin
This map shows the geographic impact of Junha Shin'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 Junha Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junha Shin more than expected).
Fields of papers citing papers by Junha Shin
This network shows the impact of papers produced by Junha Shin. 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 Junha Shin. The network helps show where Junha Shin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junha Shin, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 132 | |
| 2 | 2010 | 63 | |
| 3 | 2015 | 61 | |
| 4 | 2013 | 59 | |
| 5 | 2014 | 48 | |
| 6 | 2012 | 47 | |
| 7 | 2020 | 43 | |
| 8 | 2003 | 31 | |
| 9 | 2015 | 24 | |
| 10 | 2023 | 24 | |
| 11 | 2015 | 24 | |
| 12 | 2015 | 21 | |
| 13 | 2013 | 20 | |
| 14 | 2015 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2016 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2010 | 8 | |
| 20 | 2020 | 7 |
About Junha Shin
Junha Shin is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 25 papers that have together received 675 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (6 papers), Genomics and Phylogenetic Studies (5 papers), Single-cell and spatial transcriptomics (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Fungal and yeast genetics research (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (24 citations), Molecular Biology (461 citations), Genetics (129 citations), Parasitology (29 citations) and Plant Science (142 citations). Junha Shin has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Insuk Lee, Jung Eun Shim, Sohyun Hwang, Hyojin Kim, Hanhae Kim, Hongseok Shim, Tak Lee, Eiru Kim, Sunmo Yang and Chanyoung Kim. Their work appears in journals such as Nucleic Acids Research, Genome Research, PLoS Computational Biology, Nature Communications and Current Opinion in Plant Biology.
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.