Ying Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
Papers in
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- Circular RNAs in diseases 18
-
- Prostate Cancer Treatment and Research 14
- Lung Cancer Treatments and Mutations 14
- Lung Cancer Diagnosis and Treatment 13
- Co-authors
- Qijun Qian (12 shared papers)Knut Stavem (1 shared paper)Sjur Humerfelt (1 shared paper)Milind Javle (3 shared papers)Fredrik A. Dahl (1 shared paper)Apurva Jain (3 shared papers)Ping Wang (1 shared paper)Funda Meric‐Bernstam (2 shared papers)
- Journals
- PLoS ONE (7 papers)Medicine (6 papers)Journal of Clinical Oncology (5 papers)Oncotarget (5 papers)Stem Cell Research (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Wang
286 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 176
- Cancer Research 974
- Oncology 836
- Pulmonary and Respiratory Medicine 946
- Molecular Biology 1.8k
- Hepatology 200
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 304 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 289 | |
| 2 | 2008 | 126 | |
| 3 | 2013 | 105 | |
| 4 | 2022 | 104 | |
| 5 | 2006 | 99 | |
| 6 | 2019 | 98 | |
| 7 | 2006 | 90 | |
| 8 | 2014 | 85 | |
| 9 | 2019 | 84 | |
| 10 | 2020 | 81 | |
| 11 | 2013 | 81 | |
| 12 | 2015 | 76 | |
| 13 | 2003 | 62 | |
| 14 | 2017 | 60 | |
| 15 | 2019 | 58 | |
| 16 | 2010 | 56 | |
| 17 | 2015 | 56 | |
| 18 | 2013 | 52 | |
| 19 | 2014 | 52 | |
| 20 | 2015 | 50 |
About Ying Wang
Ying Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Epidemiology, having authored 304 papers that have together received 4.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (19 papers), Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Circular RNAs in diseases (18 papers), MicroRNA in disease regulation (18 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), Prostate Cancer Treatment and Research (14 papers), Lung Cancer Treatments and Mutations (14 papers) and Lung Cancer Diagnosis and Treatment (13 papers). The work is most often cited by research in Cancer Research (974 citations), Oncology (836 citations), Pulmonary and Respiratory Medicine (946 citations), Molecular Biology (1.8k citations) and Hepatology (200 citations). Ying Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qijun Qian, Knut Stavem, Sjur Humerfelt, Milind Javle, Fredrik A. Dahl, Apurva Jain, Ping Wang, Funda Meric‐Bernstam, Xianghui Fu and Xue‐Ying He. Their work appears in journals such as PLoS ONE, Medicine, Journal of Clinical Oncology, Oncotarget 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.