Hao Xing
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Nanoparticle-Based Drug Delivery
Papers in
- Hepatology 18
- Hepatocellular Carcinoma Treatment and Prognosis 17
- Biomaterials 14
- Electrospun Nanofibers in Biomedical Applications 6
- Nanoparticle-Based Drug Delivery 5
- Co-authors
- Themis R. Kyriakides (11 shared papers)Tian Yang (27 shared papers)Hudson Lee (2 shared papers)Lijing Luo (1 shared paper)Jun Shu Han (15 shared papers)Feng Shen (22 shared papers)Lei Liang (24 shared papers)Han Wu (18 shared papers)
- Journals
- HPB (7 papers)Small (3 papers)Frontiers in Neuroscience (3 papers)Oncotarget (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hao Xing
128 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 145
- Hepatology 438
- Biomaterials 431
- Cancer Research 333
- Rehabilitation 107
- Genetics 138
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 139 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 255 | |
| 2 | 2018 | 156 | |
| 3 | 2021 | 139 | |
| 4 | 2018 | 109 | |
| 5 | 2019 | 91 | |
| 6 | 2016 | 85 | |
| 7 | 2022 | 75 | |
| 8 | 2016 | 73 | |
| 9 | 2019 | 66 | |
| 10 | 2019 | 57 | |
| 11 | 2018 | 57 | |
| 12 | 2021 | 51 | |
| 13 | 2022 | 51 | |
| 14 | 2018 | 46 | |
| 15 | 2018 | 45 | |
| 16 | 2023 | 45 | |
| 17 | 2017 | 44 | |
| 18 | 2022 | 42 | |
| 19 | 2019 | 41 | |
| 20 | 2018 | 41 |
About Hao Xing
Hao Xing is a scholar working on Hepatology, Biomaterials, Genetics, Oncology and Cancer Research, having authored 139 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Glioma Diagnosis and Treatment (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Nanoplatforms for cancer theranostics (8 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), RNA modifications and cancer (5 papers), Surgical site infection prevention (5 papers) and Nanoparticle-Based Drug Delivery (5 papers). The work is most often cited by research in Hepatology (438 citations), Biomaterials (431 citations), Cancer Research (333 citations), Rehabilitation (107 citations) and Genetics (138 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 Shu Han, Feng Shen, Lei Liang, Han Wu, Mengchao Wu and Zhenli Li. Their work appears in journals such as HPB, Small, Frontiers in Neuroscience, Oncotarget and Cell Death and Disease.
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.