Yao Chen
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Mercury impact and mitigation studies
Papers in
-
- Ultrasound and Hyperthermia Applications 5
- Nanoplatforms for cancer theranostics 5
- Neurology 10
- Neuroinflammation and Neurodegeneration Mechanisms 8
- Co-authors
- Xianyong Lin (4 shared papers)Mei Tian (9 shared papers)Qingfeng Fan (1 shared paper)Na Guan (1 shared paper)Dan Zhao (1 shared paper)Sainan Zhu (1 shared paper)Yong Yao (1 shared paper)Jing Miao (1 shared paper)
- Journals
- PLoS ONE (5 papers)Journal of Nuclear Medicine (3 papers)Blood (2 papers)Molecular Imaging and Biology (2 papers)Advanced Functional Materials (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yao Chen
80 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 157
- Biomaterials 166
- Health, Toxicology and Mutagenesis 160
- Food Science 164
- Biomedical Engineering 350
- Developmental Neuroscience 25
Countries citing papers authored by Yao Chen
This map shows the geographic impact of Yao Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Chen more than expected).
Fields of papers citing papers by Yao Chen
This network shows the impact of papers produced by Yao Chen. 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 Chen. The network helps show where Yao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao Chen, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 211 | |
| 2 | 2019 | 150 | |
| 3 | 2017 | 98 | |
| 4 | 2021 | 79 | |
| 5 | 2020 | 53 | |
| 6 | 2018 | 43 | |
| 7 | 2018 | 43 | |
| 8 | 2008 | 39 | |
| 9 | 2018 | 37 | |
| 10 | 2015 | 36 | |
| 11 | 2018 | 31 | |
| 12 | 2012 | 28 | |
| 13 | 2019 | 28 | |
| 14 | 2021 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2013 | 26 | |
| 17 | 2022 | 25 | |
| 18 | 2016 | 23 | |
| 19 | 2013 | 23 | |
| 20 | 2016 | 22 |
About Yao Chen
Yao Chen is a scholar working on Biomedical Engineering, Neurology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Ultrasound and Hyperthermia Applications (5 papers), Nanoplatforms for cancer theranostics (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Photodynamic Therapy Research Studies (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Biomaterials (166 citations), Health, Toxicology and Mutagenesis (160 citations), Food Science (164 citations), Biomedical Engineering (350 citations) and Developmental Neuroscience (25 citations). Yao Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Xianyong Lin, Mei Tian, Qingfeng Fan, Na Guan, Dan Zhao, Sainan Zhu, Yong Yao, Jing Miao, Han Zhang and Jie Ding. Their work appears in journals such as PLoS ONE, Journal of Nuclear Medicine, Blood, Molecular Imaging and Biology and Advanced Functional Materials.
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.