Ying Mao
Impact in
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Genetics 112
- Glioma Diagnosis and Treatment 108
- Co-authors
- Liangfu Zhou (118 shared papers)Wei Zhu (55 shared papers)Zhifeng Shi (61 shared papers)Wei Hua (35 shared papers)Jinsong Wu (52 shared papers)Yu Yao (35 shared papers)Liang Chen (44 shared papers)Tiger H. Tao (25 shared papers)
- Journals
- World Neurosurgery (20 papers)Neurosurgery (18 papers)Journal of neurosurgery (17 papers)Advanced Science (14 papers)Journal of Neuro-Oncology (12 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Mao
607 papers receiving 14.7k citations
Ying Mao's Hit Papers
Peers
Comparison fields: 5 of 197
- Genetics 2.1k
- Developmental Neuroscience 615
- Neurology 1.1k
- Neurology 1.9k
- Cancer Research 1.6k
Countries citing papers authored by Ying Mao
This map shows the geographic impact of Ying Mao'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 Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Mao more than expected).
Fields of papers citing papers by Ying Mao
This network shows the impact of papers produced by Ying Mao. 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 Mao. The network helps show where Ying Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Mao, 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 632 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 477 | |
| 2 | 2013 | 291 | |
| 3 | 2019 | 282 | |
| 4 | 2007 | 226 | |
| 5 | 2016 | 183 | |
| 6 | 2018 | 177 | |
| 7 | 2017 | 166 | |
| 8 | Understanding the immunosuppressive microenvironment of glioma: mechanistic insights and clinical perspectives Hit paper breakdown → | 2024 | 163 |
| 9 | 2018 | 156 | |
| 10 | 2016 | 151 | |
| 11 | 2021 | 142 | |
| 12 | 1998 | 140 | |
| 13 | 2009 | 137 | |
| 14 | Harnessing innate immune pathways for therapeutic advancement in cancer Hit paper breakdown → | 2024 | 135 |
| 15 | 2015 | 129 | |
| 16 | 2017 | 127 | |
| 17 | 2015 | 126 | |
| 18 | 2019 | 118 | |
| 19 | 2017 | 116 | |
| 20 | 2020 | 112 |
About Ying Mao
Ying Mao is a scholar working on Molecular Biology, Genetics, Neurology, Epidemiology and Cancer Research, having authored 632 papers that have together received 14.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (108 papers), Meningioma and schwannoma management (45 papers), Intracranial Aneurysms: Treatment and Complications (36 papers), Vascular Malformations Diagnosis and Treatment (31 papers), Moyamoya disease diagnosis and treatment (28 papers), Functional Brain Connectivity Studies (25 papers), MicroRNA in disease regulation (25 papers) and Neuroinflammation and Neurodegeneration Mechanisms (20 papers). The work is most often cited by research in Genetics (2.1k citations), Developmental Neuroscience (615 citations), Neurology (1.1k citations), Neurology (1.9k citations) and Cancer Research (1.6k citations). Ying Mao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liangfu Zhou, Wei Zhu, Zhifeng Shi, Wei Hua, Jinsong Wu, Yu Yao, Liang Chen, Tiger H. Tao, Xuehai Wu and Yuxiang Gu. Their work appears in journals such as World Neurosurgery, Neurosurgery, Journal of neurosurgery, Advanced Science and Journal of Neuro-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.