Ying Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Hepatology top 5%
Papers in
- Hepatology 22
- Hepatocellular Carcinoma Treatment and Prognosis 16
- Co-authors
- Mingxin Zuo (2 shared papers)Apurva Jain (2 shared papers)Milind M. Javle (2 shared papers)Daniel H. Ahn (1 shared paper)Qijun Qian (12 shared papers)Sheng Shu (1 shared paper)Fredrik Andreas Dahl (1 shared paper)Andrea Grace Bocobo (1 shared paper)
- Journals
- PLoS ONE (7 papers)Medicine (6 papers)Oncotarget (5 papers)Scientific Reports (4 papers)Stem Cell Research (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Wang
306 papers receiving 5.7k citations
Ying Wang's Hit Papers
Peers
Comparison fields: 5 of 175
- Cancer Research 961
- Hepatology 274
- Oncology 788
- Pulmonary and Respiratory Medicine 902
- Molecular Biology 2.0k
Countries citing papers authored by Ying Wang
This map shows the geographic impact of Ying 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 Ying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wang more than expected).
Fields of papers citing papers by Ying Wang
This network shows the impact of papers produced by Ying 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 Ying Wang. The network helps show where Ying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 322 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proteogenomic Characterization of Endometrial Carcinoma Hit paper breakdown → | 2020 | 354 |
| 2 | Biliary cancer: Utility of next‐generation sequencing for clinical management Hit paper breakdown → | 2016 | 336 |
| 3 | 2008 | 130 | |
| 4 | 2013 | 124 | |
| 5 | 2022 | 112 | |
| 6 | 2013 | 112 | |
| 7 | 2006 | 111 | |
| 8 | 2019 | 109 | |
| 9 | 2006 | 93 | |
| 10 | 2014 | 92 | |
| 11 | 2020 | 85 | |
| 12 | 2019 | 83 | |
| 13 | 2013 | 81 | |
| 14 | 2015 | 79 | |
| 15 | 2003 | 68 | |
| 16 | 2023 | 68 | |
| 17 | 2019 | 67 | |
| 18 | 2017 | 64 | |
| 19 | 2015 | 63 | |
| 20 | 2010 | 61 |
About Ying Wang
Ying Wang is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Oncology, having authored 322 papers that have together received 5.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (16 papers), Circular RNAs in diseases (16 papers), MicroRNA in disease regulation (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (13 papers), Hepatitis B Virus Studies (12 papers), Virus-based gene therapy research (12 papers), CRISPR and Genetic Engineering (11 papers) and Pluripotent Stem Cells Research (11 papers). The work is most often cited by research in Cancer Research (961 citations), Hepatology (274 citations), Oncology (788 citations), Pulmonary and Respiratory Medicine (902 citations) and Molecular Biology (2.0k citations). Ying Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mingxin Zuo, Apurva Jain, Milind M. Javle, Daniel H. Ahn, Qijun Qian, Sheng Shu, Fredrik Andreas Dahl, Andrea Grace Bocobo, Rachna T. Shroff and Jeffrey S. Ross. Their work appears in journals such as PLoS ONE, Medicine, Oncotarget, Scientific Reports and Stem Cell 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.