Hao Xing
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
Papers in
- Epidemiology 26
- Liver Disease Diagnosis and Treatment 21
- Co-authors
- Themis R. Kyriakides (11 shared papers)Tian Yang (31 shared papers)Hudson Lee (2 shared papers)Lijing Luo (1 shared paper)Jun Han (15 shared papers)Feng Shen (21 shared papers)Lei Liang (23 shared papers)Han Wu (18 shared papers)
- Journals
- HPB (8 papers)Oncotarget (4 papers)Scientific Reports (3 papers)Frontiers in Neurology (3 papers)Cancer Management and Research (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hao Xing
131 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 150
- Hepatology 447
- Cancer Research 568
- Biomaterials 462
- Molecular Medicine 75
- Rehabilitation 103
Countries citing papers authored by Hao Xing
This map shows the geographic impact of Hao Xing'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 Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Xing more than expected).
Fields of papers citing papers by Hao Xing
This network shows the impact of papers produced by Hao Xing. 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 Xing. The network helps show where Hao Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Xing, 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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 223 | |
| 2 | 2018 | 153 | |
| 3 | 2021 | 119 | |
| 4 | 2018 | 99 | |
| 5 | 2021 | 99 | |
| 6 | 2019 | 80 | |
| 7 | 2016 | 78 | |
| 8 | 2016 | 68 | |
| 9 | 2022 | 66 | |
| 10 | 2019 | 57 | |
| 11 | 2018 | 56 | |
| 12 | 2019 | 53 | |
| 13 | 2013 | 52 | |
| 14 | 2020 | 48 | |
| 15 | 2022 | 46 | |
| 16 | 2011 | 44 | |
| 17 | 2017 | 42 | |
| 18 | 2018 | 41 | |
| 19 | 2018 | 40 | |
| 20 | 2021 | 40 |
About Hao Xing
Hao Xing is a scholar working on Molecular Biology, Epidemiology, Hepatology, Surgery and Biomedical Engineering, having authored 154 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (23 papers), Liver Disease Diagnosis and Treatment (21 papers), Glioma Diagnosis and Treatment (10 papers), Nanoplatforms for cancer theranostics (8 papers), Cancer, Lipids, and Metabolism (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Hepatology (447 citations), Cancer Research (568 citations), Biomaterials (462 citations), Molecular Medicine (75 citations) and Rehabilitation (103 citations). Hao Xing has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Themis R. Kyriakides, Tian Yang, Hudson Lee, Lijing Luo, Jun Han, Feng Shen, Lei Liang, Han Wu, Zihao Wang and Mengchao Wu. Their work appears in journals such as HPB, Oncotarget, Scientific Reports, Frontiers in Neurology and Cancer Management and Research.
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.