Sunmo Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
Papers in
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- Bioinformatics and Genomic Networks 14
- Gene expression and cancer classification 6
- Genomics and Phylogenetic Studies 5
- Biomedical Text Mining and Ontologies 3
- Gut microbiota and health 3
- Gene Regulatory Network Analysis 2
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- Anesthesia and Sedative Agents 3
- Co-authors
- Insuk Lee (23 shared papers)Chan Yeong Kim (13 shared papers)Hyojin Kim (6 shared papers)Muyoung Lee (4 shared papers)Sung‐Ho Lee (4 shared papers)Byunghee Kang (2 shared papers)Sohyun Hwang (11 shared papers)Heonjong Han (1 shared paper)
- Journals
- Nucleic Acids Research (11 papers)Bioinformatics (2 papers)Scientific Reports (2 papers)Journal of Clinical Medicine (2 papers)mSystems (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sunmo Yang
31 papers receiving 2.7k citations
Sunmo Yang's Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 333
- Molecular Biology 1.5k
- Immunology 259
- Biological Psychiatry 17
- Aging 13
Countries citing papers authored by Sunmo Yang
This map shows the geographic impact of Sunmo Yang'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 Sunmo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunmo Yang more than expected).
Fields of papers citing papers by Sunmo Yang
This network shows the impact of papers produced by Sunmo Yang. 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 Sunmo Yang. The network helps show where Sunmo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunmo Yang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions Hit paper breakdown → | 2017 | 1384 |
| 2 | 2015 | 320 | |
| 3 | 2018 | 160 | |
| 4 | 2014 | 138 | |
| 5 | 2021 | 86 | |
| 6 | 2016 | 85 | |
| 7 | 2021 | 80 | |
| 8 | 2015 | 67 | |
| 9 | 1999 | 59 | |
| 10 | 2020 | 46 | |
| 11 | 2016 | 30 | |
| 12 | 2015 | 30 | |
| 13 | 2022 | 27 | |
| 14 | 2017 | 24 | |
| 15 | 2019 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 2016 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2019 | 15 | |
| 20 | 2014 | 14 |
About Sunmo Yang
Sunmo Yang is a scholar working on Molecular Biology, Anesthesiology and Pain Medicine, Genetics, Experimental and Cognitive Psychology and Computational Theory and Mathematics, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Gene expression and cancer classification (6 papers), Genomics and Phylogenetic Studies (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Biomedical Text Mining and Ontologies (3 papers), Gut microbiota and health (3 papers), Anesthesia and Sedative Agents (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Cancer Research (333 citations), Molecular Biology (1.5k citations), Immunology (259 citations), Biological Psychiatry (17 citations) and Aging (13 citations). Sunmo Yang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Insuk Lee, Chan Yeong Kim, Hyojin Kim, Muyoung Lee, Sung‐Ho Lee, Byunghee Kang, Sohyun Hwang, Heonjong Han, Michael S Chung and Jong‐Hoon Kim. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Scientific Reports, Journal of Clinical Medicine and mSystems.
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.