Hanjun Shin
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
Papers in
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 2
- Bioinformatics and Genomic Networks 1
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- EEG and Brain-Computer Interfaces 3
- Co-authors
- Xianghong Jasmine Zhou (2 shared papers)Frank Alber (2 shared papers)Ke Gong (2 shared papers)Harianto Tjong (2 shared papers)Yi Shi (1 shared paper)Chao Dai (1 shared paper)Nan Hua (1 shared paper)Jaewoo Kang (4 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Nature Protocols (1 paper)Nature Communications (1 paper)Nucleic Acids Research (1 paper)International Journal of Data Mining and Bioinformatics (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Hanjun Shin
7 papers receiving 261 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 227
- Health Informatics 3
- Plant Science 56
- Genetics 38
- Immunology 16
Countries citing papers authored by Hanjun Shin
This map shows the geographic impact of Hanjun 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 Hanjun Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanjun Shin more than expected).
Fields of papers citing papers by Hanjun Shin
This network shows the impact of papers produced by Hanjun 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 Hanjun Shin. The network helps show where Hanjun Shin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanjun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 172 | |
| 2 | 2018 | 46 | |
| 3 | 2019 | 27 | |
| 4 | 2010 | 9 | |
| 5 | 2009 | 4 | |
| 6 | 2009 | 4 | |
| 7 | 2012 | 2 |
About Hanjun Shin
Hanjun Shin is a scholar working on Molecular Biology, Cognitive Neuroscience, Signal Processing, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 264 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (3 papers), Genomics and Phylogenetic Studies (3 papers), Blind Source Separation Techniques (2 papers), Gene expression and cancer classification (2 papers), Genomics and Chromatin Dynamics (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Bioinformatics and Genomic Networks (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Molecular Biology (227 citations), Health Informatics (3 citations), Plant Science (56 citations), Genetics (38 citations) and Immunology (16 citations). Hanjun Shin has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Xianghong Jasmine Zhou, Frank Alber, Ke Gong, Harianto Tjong, Yi Shi, Chao Dai, Nan Hua, Jaewoo Kang, Jessica A. Chichester and Dongkyoon Kim. Their work appears in journals such as Journal of the American Medical Informatics Association, Nature Protocols, Nature Communications, Nucleic Acids Research and International Journal of Data Mining and Bioinformatics.
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.