Hanjun Shin
Impact in
-
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
Papers in
-
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 2
-
- EEG and Brain-Computer Interfaces 3
- Co-authors
- Ke Gong (2 shared papers)Frank Alber (2 shared papers)Xianghong Jasmine Zhou (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)Cancer Research (1 paper)Nucleic Acids Research (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Hanjun Shin
7 papers receiving 279 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 220
- Health Informatics 4
- Plant Science 48
- Genetics 33
- Health Information Management 5
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 | 179 | |
| 2 | 2018 | 49 | |
| 3 | 2019 | 29 | |
| 4 | 2010 | 16 | |
| 5 | 2009 | 5 | |
| 6 | 2009 | 4 | |
| 7 | 2012 | 3 | |
| 8 | 2022 | 0 |
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 8 papers that have together received 285 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), EEG and Brain-Computer Interfaces (3 papers), Gene expression and cancer classification (2 papers), Genomics and Chromatin Dynamics (2 papers), Blind Source Separation Techniques (2 papers), Neuroscience and Neural Engineering (1 paper), Cancer Genomics and Diagnostics (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Molecular Biology (220 citations), Health Informatics (4 citations), Plant Science (48 citations), Genetics (33 citations) and Health Information Management (5 citations). Hanjun Shin has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Ke Gong, Frank Alber, Xianghong Jasmine Zhou, Harianto Tjong, Yi Shi, Chao Dai, Nan Hua, Jaewoo Kang, Jessica A. Chichester and Alexandre Bosch. Their work appears in journals such as Journal of the American Medical Informatics Association, Nature Protocols, Cancer Research, Nucleic Acids Research and Nature Communications.
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.