Hongyue Dai
- Cancer Research top 0.1%
- MicroRNA in disease regulation 9
- Cancer Genomics and Diagnostics 6
- Cancer-related molecular mechanisms research 5
- Molecular Biology top 0.5%
- Gene expression and cancer classification 15
- Molecular Biology Techniques and Applications 8
- Bioinformatics and Genomic Networks 6
- RNA Research and Splicing 5
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 5
- Genetics top 1%
- Co-authors
- Yudong D. HeStephen FriendMatthew J. MartonPeter S. LinsleyMao MaoMarc J. van de VijverRené BernardsGeorge J. Schreiber
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Hongyue Dai
64 papers receiving 13.8k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cancer Research 4.4k
- Molecular Biology 9.3k
- Oncology 3.4k
- Genetics 1.5k
- Pathology and Forensic Medicine 806
Countries citing papers authored by Hongyue Dai
This map shows the geographic impact of Hongyue Dai'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 Hongyue Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyue Dai more than expected).
Fields of papers citing papers by Hongyue Dai
This network shows the impact of papers produced by Hongyue Dai. 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 Hongyue Dai. The network helps show where Hongyue Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongyue Dai, 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 | 2021 | 3 | |
| 2 | 2019 | 1 | |
| 3 | 2017 | 1 | |
| 4 | 2014 | 27 | |
| 5 | 2012 | 57 | |
| 6 | 2011 | 26 | |
| 7 | 2010 | 13 | |
| 8 | 2009 | 59 | |
| 9 | 2009 | 236 | |
| 10 | 2009 | 13 | |
| 11 | 2009 | 107 | |
| 12 | Chromosome 20q Amplification Regulates in Vitro Response to Kinesin-5 Inhibitor | 2008 | 1 |
| 13 | A potential role for Periostin in Barrett’s carcinogenesis | 2007 | 0 |
| 14 | 2005 | 24 | |
| 15 | 2005 | 207 | |
| 16 | Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survivalbreakdown → | 2005 | 733 |
| 17 | 2005 | 1 | |
| 18 | Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cellsbreakdown → | 2004 | 647 |
| 19 | 2000 | 384 | |
| 20 | Drug target validation and identification of secondary drug target effects using DNA microarraysbreakdown → | 1998 | 479 |
About Hongyue Dai
Hongyue Dai is a scholar working on Cancer Research, Molecular Biology and Hepatology, having authored 66 papers that have together received 14.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), MicroRNA in disease regulation (9 papers), Molecular Biology Techniques and Applications (8 papers), Cancer Genomics and Diagnostics (6 papers), Bioinformatics and Genomic Networks (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (4.4k citations), Molecular Biology (9.3k citations) and Oncology (3.4k citations). Hongyue Dai has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yudong D. He, Stephen Friend, Matthew J. Marton, Peter S. Linsley, Mao Mao, Marc J. van de Vijver, René Bernards, George J. Schreiber, Chris Roberts and Laura van ‘t Veer.
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.