Hao Xing
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 23
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism 7
- MicroRNA in disease regulation 6
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications 7
- Molecular Medicine top 5%
- Rehabilitation top 5%
-
- Liver Disease Diagnosis and Treatment 21
-
- Glioma Diagnosis and Treatment 10
-
- Nanoplatforms for cancer theranostics 8
-
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 4 | |
| 12 | Preoperative Inversed Albumin-to-Globulin Ratio Predicts Worse Oncologic Prognosis Following Curative Hepatectomy for Hepatocellular Carcinoma | 2020 | 2 |
| 13 | 2020 | 15 | |
| 14 | 2018 | 27 | |
| 15 | 2018 | 56 | |
| 16 | 2016 | 78 | |
| 17 | Macrophage-Secreted TNFα and TGFβ1 Influence Migration Speed and Persistence of Cancer Cells in 3D Tissue Culture via Independent Pathways | 2016 | 22 |
| 18 | 2015 | 3 | |
| 19 | EVIDENCE AND ECOLOGICAL EFFECTS OF HYDRAULIC LIFT IN POPULUS EUPHRATICA | 2009 | 4 |
| 20 | WATER TABLE AND THE DESERT RIPARIAN FOREST COMMUNITY IN THE LOWER REACHES OF TARIM RIVER,CHINA | 2008 | 3 |
About Hao Xing
Hao Xing is a scholar working on Hepatology, Fuel Technology and Microbiology, 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), Electrospun Nanofibers in Biomedical Applications (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer, Lipids, and Metabolism (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) and Biomaterials (462 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 Zhenli Li. 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.