Hao Zhou
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Plant Science top 5%
- GABA and Rice Research
- Rice Cultivation and Yield Improvement
Papers in
-
- Circular RNAs in diseases 8
- Ubiquitin and proteasome pathways 7
-
- Rice Cultivation and Yield Improvement 13
- GABA and Rice Research 12
- Co-authors
- Yuqing He (20 shared papers)Duo Xia (18 shared papers)Xiaoyuan Chu (6 shared papers)Pingbo Li (10 shared papers)Yingru Zhi (5 shared papers)Rui Wang (6 shared papers)Bian Wu (7 shared papers)Qinglu Zhang (14 shared papers)
- Journals
- Plant Biotechnology Journal (6 papers)Molecular Breeding (6 papers)Rice (4 papers)PeerJ (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Hao Zhou
79 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 298
- Plant Science 572
- Molecular Biology 726
- Genetics 284
- Nutrition and Dietetics 108
Countries citing papers authored by Hao Zhou
This map shows the geographic impact of Hao Zhou'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 Hao Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Zhou more than expected).
Fields of papers citing papers by Hao Zhou
This network shows the impact of papers produced by Hao Zhou. 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 Hao Zhou. The network helps show where Hao Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Zhou, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2022 | 111 | |
| 3 | 2023 | 85 | |
| 4 | 2021 | 77 | |
| 5 | 2017 | 74 | |
| 6 | 2018 | 70 | |
| 7 | 2020 | 67 | |
| 8 | 2019 | 46 | |
| 9 | The role of Aurora-A in human cancers and future therapeutics. | 2020 | 46 |
| 10 | 2020 | 45 | |
| 11 | 2018 | 41 | |
| 12 | 2019 | 35 | |
| 13 | 2020 | 33 | |
| 14 | 2020 | 31 | |
| 15 | 2021 | 29 | |
| 16 | 2021 | 27 | |
| 17 | 2018 | 26 | |
| 18 | 2022 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2018 | 19 |
About Hao Zhou
Hao Zhou is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (18 papers), Rice Cultivation and Yield Improvement (13 papers), GABA and Rice Research (12 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (8 papers), Ubiquitin and proteasome pathways (7 papers) and Ferroptosis and cancer prognosis (7 papers). The work is most often cited by research in Cancer Research (298 citations), Plant Science (572 citations), Molecular Biology (726 citations), Genetics (284 citations) and Nutrition and Dietetics (108 citations). Hao Zhou has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yuqing He, Duo Xia, Xiaoyuan Chu, Pingbo Li, Yingru Zhi, Rui Wang, Bian Wu, Qinglu Zhang, Guanjun Gao and Gongwei Wang. Their work appears in journals such as Plant Biotechnology Journal, Molecular Breeding, Rice, PeerJ and Advanced Science.
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.