Dapeng Hao
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 8
- Bioinformatics and Genomic Networks 8
- DNA Repair Mechanisms 5
- RNA Research and Splicing 4
- Oncology 15
- Co-authors
- Meng Zhou (10 shared papers)Jie Sun (6 shared papers)Zhenzhen Wang (4 shared papers)Lijun Di (11 shared papers)Hongbo Shi (2 shared papers)Zheng‐Xiang Li (4 shared papers)Guangyu Wang (6 shared papers)Chuanxing Li (8 shared papers)
- Journals
- Molecular BioSystems (6 papers)PLoS ONE (4 papers)Scientific Reports (3 papers)Clinical Cancer Research (2 papers)International Journal of Biological Sciences (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dapeng Hao
65 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 846
- Molecular Biology 1.1k
- Reproductive Medicine 96
- Immunology 233
- Oncology 297
Countries citing papers authored by Dapeng Hao
This map shows the geographic impact of Dapeng Hao'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 Dapeng Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Hao more than expected).
Fields of papers citing papers by Dapeng Hao
This network shows the impact of papers produced by Dapeng Hao. 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 Dapeng Hao. The network helps show where Dapeng Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dapeng Hao, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 243 | |
| 2 | 2014 | 162 | |
| 3 | 2015 | 152 | |
| 4 | 2015 | 146 | |
| 5 | 2018 | 125 | |
| 6 | 2020 | 90 | |
| 7 | 2018 | 75 | |
| 8 | 2012 | 74 | |
| 9 | 2018 | 70 | |
| 10 | 2018 | 58 | |
| 11 | 2017 | 57 | |
| 12 | 2017 | 55 | |
| 13 | 2022 | 53 | |
| 14 | 2017 | 43 | |
| 15 | 2022 | 37 | |
| 16 | 2012 | 30 | |
| 17 | 2014 | 30 | |
| 18 | 2011 | 29 | |
| 19 | 2017 | 23 | |
| 20 | 2008 | 21 |
About Dapeng Hao
Dapeng Hao is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Electrical and Electronic Engineering, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Bioinformatics and Genomic Networks (8 papers), Cancer-related molecular mechanisms research (8 papers), Advanced Wireless Communication Techniques (7 papers), DNA Repair Mechanisms (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Error Correcting Code Techniques (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (846 citations), Molecular Biology (1.1k citations), Reproductive Medicine (96 citations), Immunology (233 citations) and Oncology (297 citations). Dapeng Hao has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Meng Zhou, Jie Sun, Zhenzhen Wang, Lijun Di, Hongbo Shi, Zheng‐Xiang Li, Guangyu Wang, Chuanxing Li, Tianzhen Wang and Jingjing Li. Their work appears in journals such as Molecular BioSystems, PLoS ONE, Scientific Reports, Clinical Cancer Research and International Journal of Biological Sciences.
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.