Dapeng Hao
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 24
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 6
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- Cancer-related molecular mechanisms research 8
- Cancer Genomics and Diagnostics 5
- 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)Xiaobo Li (4 shared papers)Guangyu Wang (6 shared papers)Chuanxing Li (8 shared papers)
- Journals
- Molecular BioSystems (6 papers)Nature Communications (4 papers)PLoS ONE (4 papers)Cancer Cell (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dapeng Hao
86 papers receiving 3.5k citations
Dapeng Hao's Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 1.1k
- Oncology 784
- Immunology 608
- Molecular Biology 1.6k
- Hematology 187
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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pan-cancer T cell atlas links a cellular stress response state to immunotherapy resistance Hit paper breakdown → | 2023 | 298 |
| 2 | 2014 | 255 | |
| 3 | 2021 | 205 | |
| 4 | 2014 | 167 | |
| 5 | 2021 | 162 | |
| 6 | 2015 | 160 | |
| 7 | 2015 | 155 | |
| 8 | 2018 | 142 | |
| 9 | 2023 | 129 | |
| 10 | 2020 | 114 | |
| 11 | 2022 | 112 | |
| 12 | 2021 | 102 | |
| 13 | 2021 | 98 | |
| 14 | 2012 | 78 | |
| 15 | 2018 | 77 | |
| 16 | 2018 | 73 | |
| 17 | 2020 | 66 | |
| 18 | 2022 | 64 | |
| 19 | 2017 | 64 | |
| 20 | 2018 | 64 |
About Dapeng Hao
Dapeng Hao is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Hematology, having authored 89 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Cancer-related molecular mechanisms research (8 papers), Bioinformatics and Genomic Networks (7 papers), Advanced Wireless Communication Techniques (7 papers), CAR-T cell therapy research (6 papers), RNA modifications and cancer (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (784 citations), Immunology (608 citations), Molecular Biology (1.6k citations) and Hematology (187 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, Xiaobo Li, Guangyu Wang, Chuanxing Li, Tianzhen Wang and Jingjing Li. Their work appears in journals such as Molecular BioSystems, Nature Communications, PLoS ONE, Cancer Cell and Scientific Reports.
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.