Ying Wu
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Epidemiology top 1%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Cancer-related molecular mechanisms research 25
- MicroRNA in disease regulation 22
- Epidemiology 24
- Influenza Virus Research Studies 13
- Co-authors
- George Fu Gao (7 shared papers)Yi Xiang Shi (3 shared papers)Hongguang Zhu (10 shared papers)Shaohua Lu (8 shared papers)Xue Jun Gao (6 shared papers)Jie Hu (5 shared papers)Jiping Wang (5 shared papers)Wei Zhang (2 shared papers)
- Journals
- Poultry Science (7 papers)Nature Communications (6 papers)Oncotarget (5 papers)Cell Death and Disease (4 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Wu
113 papers receiving 5.8k citations
Ying Wu's Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 1.9k
- Epidemiology 1.9k
- Agronomy and Crop Science 556
- Infectious Diseases 742
- Molecular Biology 2.3k
Countries citing papers authored by Ying Wu
This map shows the geographic impact of Ying Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Wu more than expected).
Fields of papers citing papers by Ying Wu
This network shows the impact of papers produced by Ying Wu. 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 Wu. The network helps show where Ying Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Wu, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 554 | |
| 2 | Origin and diversity of novel avian influenza A H7N9 viruses causing human infection: phylogenetic, structural, and coalescent analyses Hit paper breakdown → | 2013 | 498 |
| 3 | 2017 | 320 | |
| 4 | 2014 | 243 | |
| 5 | 2013 | 238 | |
| 6 | 2013 | 146 | |
| 7 | 2014 | 143 | |
| 8 | 2011 | 140 | |
| 9 | 2014 | 136 | |
| 10 | 2014 | 135 | |
| 11 | 2020 | 135 | |
| 12 | 2015 | 130 | |
| 13 | 2010 | 106 | |
| 14 | 2014 | 97 | |
| 15 | 2019 | 94 | |
| 16 | 2015 | 90 | |
| 17 | 2015 | 88 | |
| 18 | 2018 | 88 | |
| 19 | 2016 | 83 | |
| 20 | 2013 | 80 |
About Ying Wu
Ying Wu is a scholar working on Cancer Research, Epidemiology, Molecular Medicine, Molecular Biology and Immunology, having authored 117 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (22 papers), Influenza Virus Research Studies (13 papers), Circular RNAs in diseases (13 papers), RNA modifications and cancer (8 papers), Viral Infections and Immunology Research (8 papers), Antibiotic Resistance in Bacteria (8 papers) and interferon and immune responses (8 papers). The work is most often cited by research in Cancer Research (1.9k citations), Epidemiology (1.9k citations), Agronomy and Crop Science (556 citations), Infectious Diseases (742 citations) and Molecular Biology (2.3k citations). Ying Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include George Fu Gao, Yi Xiang Shi, Hongguang Zhu, Shaohua Lu, Xue Jun Gao, Jie Hu, Jiping Wang, Wei Zhang, Jianxun Qi and Lei Yu. Their work appears in journals such as Poultry Science, Nature Communications, Oncotarget, Cell Death and Disease and Frontiers in Immunology.
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.