Xiaoying Wang
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Hepatology 19
- Hepatocellular Carcinoma Treatment and Prognosis 17
- Liver physiology and pathology 3
- Oncology 14
- Colorectal Cancer Treatments and Studies 4
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Jia Fan (16 shared papers)Zhi Dai (3 shared papers)Guo‐Huan Yang (3 shared papers)Jian Zhou (5 shared papers)Zheng Wang (2 shared papers)Xiaowu Huang (3 shared papers)Shao‐Lai Zhou (1 shared paper)Zheng‐Jun Zhou (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Annals of Translational Medicine (3 papers)Medicine (2 papers)Food Chemistry (2 papers)Hepatology (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Xiaoying Wang
41 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Hepatology 332
- Cancer Research 276
- Oncology 460
- Immunology and Allergy 73
- Immunology 226
Countries citing papers authored by Xiaoying Wang
This map shows the geographic impact of Xiaoying Wang'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 Xiaoying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Wang more than expected).
Fields of papers citing papers by Xiaoying Wang
This network shows the impact of papers produced by Xiaoying Wang. 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 Xiaoying Wang. The network helps show where Xiaoying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying Wang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 298 | |
| 2 | 2012 | 292 | |
| 3 | 2009 | 129 | |
| 4 | 2010 | 106 | |
| 5 | 2018 | 97 | |
| 6 | 2020 | 73 | |
| 7 | 2018 | 63 | |
| 8 | 2011 | 34 | |
| 9 | 2021 | 29 | |
| 10 | 2015 | 23 | |
| 11 | 2014 | 16 | |
| 12 | 2017 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2018 | 6 |
About Xiaoying Wang
Xiaoying Wang is a scholar working on Hepatology, Oncology, Epidemiology, Molecular Biology and Cancer Research, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (7 papers), Cancer Mechanisms and Therapy (4 papers), Microbial Metabolites in Food Biotechnology (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Polysaccharides Composition and Applications (3 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Hepatology (332 citations), Cancer Research (276 citations), Oncology (460 citations), Immunology and Allergy (73 citations) and Immunology (226 citations). Xiaoying Wang has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Jia Fan, Zhi Dai, Guo‐Huan Yang, Jian Zhou, Zheng Wang, Xiaowu Huang, Shao‐Lai Zhou, Zheng‐Jun Zhou, Ying‐Hong Shi and Mingming Su. Their work appears in journals such as Journal of Clinical Oncology, Annals of Translational Medicine, Medicine, Food Chemistry and Hepatology.
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.