Hua Zhao
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 4
- Genetics top 10%
- Glioma Diagnosis and Treatment 8
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- PI3K/AKT/mTOR signaling in cancer 4
- Protein Tyrosine Phosphatases 4
- Melanoma and MAPK Pathways 3
- Rehabilitation top 10%
- Stroke Rehabilitation and Recovery 4
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- Microtubule and mitosis dynamics 4
- Co-authors
- Shing Shun Tony ToJing WangZhong-Ping ChenYehenew M. AgazieWei-Ping LiWei ShaoJinlian HuMei Li
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Hua Zhao
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 293
- Genetics 158
- Physical Therapy, Sports Therapy and Rehabilitation 46
- Molecular Biology 656
- Rehabilitation 63
Countries citing papers authored by Hua Zhao
This map shows the geographic impact of Hua Zhao'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 Hua Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Zhao more than expected).
Fields of papers citing papers by Hua Zhao
This network shows the impact of papers produced by Hua Zhao. 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 Hua Zhao. The network helps show where Hua Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua Zhao, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 73 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 7 | |
| 11 | Effect of water - based exercise on motor function, balance function and walking ability in patients with Parkinson's disease | 2017 | 3 |
| 12 | 2017 | 19 | |
| 13 | 2016 | 34 | |
| 14 | 2016 | 24 | |
| 15 | 2015 | 53 | |
| 16 | 2015 | 93 | |
| 17 | 2015 | 27 | |
| 18 | 2013 | 89 | |
| 19 | 2012 | 44 | |
| 20 | Distribution of red cell blood group systems in Yi, Tibetan and Manchu ethnic groups in China. | 1987 | 5 |
About Hua Zhao
Hua Zhao is a scholar working on Genetics, Rehabilitation, Cancer Research, Internal Medicine and Periodontics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Stroke Rehabilitation and Recovery (4 papers), Microtubule and mitosis dynamics (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Protein Tyrosine Phosphatases (4 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Cancer Research (293 citations), Genetics (158 citations), Physical Therapy, Sports Therapy and Rehabilitation (46 citations), Molecular Biology (656 citations) and Rehabilitation (63 citations). Hua Zhao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shing Shun Tony To, Jing Wang, Zhong-Ping Chen, Yehenew M. Agazie, Wei-Ping Li, Jing Wang, Wei Shao, Jinlian Hu, Mei Li and Lihua Li. Their work appears in journals such as Cancer Cell International, Oncogene, Molecular Cancer, Scientific Reports and Cell Biology International.
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.