Yanling Zhao
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 8
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 11
- Cell death mechanisms and regulation 9
- Cancer therapeutics and mechanisms 5
- Oncology top 10%
- Cancer-related Molecular Pathways 5
- Neurology top 10%
- Neuroblastoma Research and Treatments 18
- Immunology top 10%
- interferon and immune responses 3
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- Traditional Chinese Medicine Studies 5
- Co-authors
- Jianhua YangZhenghu ChenYihui FanSanjeev A. VasudevanJed G. NuchternZhongcheng ShiXin XuEugene S. Kim
- Journals
- Nucleic Acids Research (1 paper)Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yanling Zhao
48 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 348
- Molecular Biology 1.0k
- Oncology 385
- Neurology 190
- Immunology 240
Countries citing papers authored by Yanling Zhao
This map shows the geographic impact of Yanling Zhao'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 Yanling Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanling Zhao more than expected).
Fields of papers citing papers by Yanling Zhao
This network shows the impact of papers produced by Yanling Zhao. 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 Yanling Zhao. The network helps show where Yanling Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yanling Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 2 | |
| 4 | Overexpression of lncRNA Gm43050 alleviates apoptosis and inflammation response induced by sevoflurane treatment by regulating miR-640/ZFP91. | 2020 | 13 |
| 5 | 2019 | 13 | |
| 6 | 2019 | 40 | |
| 7 | 2018 | 61 | |
| 8 | 2016 | 62 | |
| 9 | 2016 | 29 | |
| 10 | 2016 | 19 | |
| 11 | 2015 | 51 | |
| 12 | 2015 | 11 | |
| 13 | 2015 | 5 | |
| 14 | 2014 | 40 | |
| 15 | 2014 | 27 | |
| 16 | 2014 | 83 | |
| 17 | 2013 | 39 | |
| 18 | 2012 | 42 | |
| 19 | 2012 | 27 | |
| 20 | 2010 | 63 |
About Yanling Zhao
Yanling Zhao is a scholar working on Neurology, Cancer Research and Complementary and alternative medicine, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (18 papers), Ubiquitin and proteasome pathways (11 papers), Cell death mechanisms and regulation (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cancer therapeutics and mechanisms (5 papers), Cancer-related Molecular Pathways (5 papers), Traditional Chinese Medicine Studies (5 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (348 citations), Molecular Biology (1.0k citations) and Oncology (385 citations). Yanling Zhao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianhua Yang, Zhenghu Chen, Yihui Fan, Sanjeev A. Vasudevan, Jed G. Nuchtern, Zhongcheng Shi, Xin Xu, Eugene S. Kim, Jiaxiong Lu and Huiyuan Zhang. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Experimental Medicine.
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.