Da Yang
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
Papers in
-
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 12
- Cancer Genomics and Diagnostics 9
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- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 5
- Co-authors
- Anil K. Sood (14 shared papers)Ilya Shmulevich C (11 shared papers)Yan Sun (4 shared papers)Kexin Chen (12 shared papers)Min Zhang (30 shared papers)Sofia Khan (2 shared papers)Kenneth R. Hess (2 shared papers)Wei Zhang (1 shared paper)
- Journals
- Nature Communications (6 papers)Bioinformatics (6 papers)The FASEB Journal (4 papers)Science Advances (4 papers)Cancer Cell (3 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Da Yang
101 papers receiving 12.5k citations
Da Yang's Hit Papers
Peers
Comparison fields: 5 of 113
- Cancer Research 3k
- Oncology 3.3k
- Pulmonary and Respiratory Medicine 3k
- Molecular Biology 3.6k
- Reproductive Medicine 422
Countries citing papers authored by Da Yang
This map shows the geographic impact of Da 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 Da Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Yang more than expected).
Fields of papers citing papers by Da Yang
This network shows the impact of papers produced by Da 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 Da Yang. The network helps show where Da Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive molecular characterization of gastric adenocarcinoma Hit paper breakdown → | 2014 | 5244 |
| 2 | Genomic Classification of Cutaneous Melanoma Hit paper breakdown → | 2015 | 2540 |
| 3 | Association of BRCA1 and BRCA2 Mutations With Survival, Chemotherapy Sensitivity, and Gene Mutator Phenotype in Patients With Ovarian Cancer Hit paper breakdown → | 2011 | 479 |
| 4 | lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer Hit paper breakdown → | 2018 | 394 |
| 5 | 2013 | 350 | |
| 6 | 2013 | 333 | |
| 7 | 2013 | 180 | |
| 8 | 2015 | 149 | |
| 9 | 2017 | 147 | |
| 10 | 2014 | 117 | |
| 11 | 2007 | 111 | |
| 12 | 2015 | 109 | |
| 13 | 2016 | 109 | |
| 14 | 2011 | 108 | |
| 15 | 2014 | 107 | |
| 16 | 2008 | 98 | |
| 17 | 2013 | 97 | |
| 18 | 2019 | 93 | |
| 19 | 2013 | 87 | |
| 20 | 2018 | 85 |
About Da Yang
Da Yang is a scholar working on Cancer Research, Molecular Biology, Hepatology, Oncology and Applied Mathematics, having authored 104 papers that have together received 12.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (12 papers), Bioinformatics and Genomic Networks (10 papers), Cancer Genomics and Diagnostics (9 papers), Cancer Immunotherapy and Biomarkers (6 papers), Advanced Harmonic Analysis Research (6 papers), Gene expression and cancer classification (5 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Cancer Research (3k citations), Oncology (3.3k citations), Pulmonary and Respiratory Medicine (3k citations), Molecular Biology (3.6k citations) and Reproductive Medicine (422 citations). Da Yang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Anil K. Sood, Ilya Shmulevich C, Yan Sun, Kexin Chen, Min Zhang, Sofia Khan, Kenneth R. Hess, Wei Zhang, Limei Hu and Fengxia Xue. Their work appears in journals such as Nature Communications, Bioinformatics, The FASEB Journal, Science Advances and Cancer Cell.
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.