Hao Xia
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Heavy metals in environment
Papers in
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- Signaling Pathways in Disease 4
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Mitochondrial Function and Pathology 3
- RNA regulation and disease 2
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Co-authors
- Si Liu (1 shared paper)Xianglin Yang (3 shared papers)Baosen Zhou (3 shared papers)Yunhao Zhang (1 shared paper)Yang Luo (1 shared paper)Shiyu Wang (1 shared paper)Weihan Wang (1 shared paper)Weichuan Qiao (1 shared paper)
- Journals
- Journal of Investigative Medicine (1 paper)International Journal of Cardiology (1 paper)Cellular & Molecular Biology Letters (1 paper)Familial Cancer (1 paper)Royal Society Open Science (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Hao Xia
30 papers receiving 361 citations
Peers
Comparison fields: 5 of 106
- Cancer Research 89
- Pollution 33
- Molecular Biology 184
- Health, Toxicology and Mutagenesis 33
- Immunology 48
Countries citing papers authored by Hao Xia
This map shows the geographic impact of Hao Xia'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 Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Xia more than expected).
Fields of papers citing papers by Hao Xia
This network shows the impact of papers produced by Hao Xia. 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 Xia. The network helps show where Hao Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Xia, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 46 | |
| 2 | 2017 | 29 | |
| 3 | 2017 | 25 | |
| 4 | 2023 | 24 | |
| 5 | 2018 | 24 | |
| 6 | 2016 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2015 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2024 | 12 | |
| 11 | 2009 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2008 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 8 |
About Hao Xia
Hao Xia is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Cell Biology and Immunology, having authored 31 papers that have together received 364 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Signaling Pathways in Disease (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), Mitochondrial Function and Pathology (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cancer Research (89 citations), Pollution (33 citations), Molecular Biology (184 citations), Health, Toxicology and Mutagenesis (33 citations) and Immunology (48 citations). Hao Xia has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Si Liu, Xianglin Yang, Baosen Zhou, Yunhao Zhang, Yang Luo, Shiyu Wang, Weihan Wang, Weichuan Qiao, Min Jiang and Xiaohui Liu. Their work appears in journals such as Journal of Investigative Medicine, International Journal of Cardiology, Cellular & Molecular Biology Letters, Familial Cancer and Royal Society Open 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.