Yao Wang
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
-
- Potassium and Related Disorders
- Advanced Breast Cancer Therapies
Papers in
-
- Advanced Breast Cancer Therapies 12
- Cerebrovascular and Carotid Artery Diseases 5
- Lung Cancer Treatments and Mutations 4
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- Metal Forming Simulation Techniques 5
- Gear and Bearing Dynamics Analysis 5
- Co-authors
- Ruishan Chen (1 shared paper)Wenjun Meng (4 shared papers)Zhuang Fu (9 shared papers)Mengbao Fan (1 shared paper)Dongdong Wen (1 shared paper)Yisheng He (1 shared paper)Binghua Cao (1 shared paper)Qifeng Chen (1 shared paper)
- Journals
- Cancer Research (7 papers)Blood (2 papers)Frontiers in Aging Neuroscience (2 papers)Ocean Engineering (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yao Wang
109 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 143
- Physiology 53
- Pulmonary and Respiratory Medicine 267
- Control and Systems Engineering 112
- Cancer Research 58
- Neurology 30
Countries citing papers authored by Yao Wang
This map shows the geographic impact of Yao 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 Yao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Wang more than expected).
Fields of papers citing papers by Yao Wang
This network shows the impact of papers produced by Yao 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 Yao Wang. The network helps show where Yao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2018 | 82 | |
| 3 | 2019 | 73 | |
| 4 | 2020 | 51 | |
| 5 | 2022 | 51 | |
| 6 | 2022 | 42 | |
| 7 | 2017 | 38 | |
| 8 | 2020 | 37 | |
| 9 | 2020 | 36 | |
| 10 | 2016 | 30 | |
| 11 | 2021 | 28 | |
| 12 | 2023 | 25 | |
| 13 | 2013 | 25 | |
| 14 | 2021 | 24 | |
| 15 | 2024 | 23 | |
| 16 | 2017 | 20 | |
| 17 | 2019 | 18 | |
| 18 | 2017 | 17 | |
| 19 | 2019 | 16 | |
| 20 | The Researching Overview of Evolutionary Neural Networks | 2004 | 16 |
About Yao Wang
Yao Wang is a scholar working on Pulmonary and Respiratory Medicine, Mechanical Engineering, Control and Systems Engineering, Mechanics of Materials and Surgery, having authored 119 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (12 papers), Metallurgy and Material Forming (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Metal Forming Simulation Techniques (5 papers), Brake Systems and Friction Analysis (5 papers), Gear and Bearing Dynamics Analysis (5 papers), Vibration Control and Rheological Fluids (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Physiology (53 citations), Pulmonary and Respiratory Medicine (267 citations), Control and Systems Engineering (112 citations), Cancer Research (58 citations) and Neurology (30 citations). Yao Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ruishan Chen, Wenjun Meng, Zhuang Fu, Mengbao Fan, Dongdong Wen, Yisheng He, Binghua Cao, Qifeng Chen, Jian Sun and Bo Ye. Their work appears in journals such as Cancer Research, Blood, Frontiers in Aging Neuroscience, Ocean Engineering and Journal of Clinical Oncology.
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.