Yao Chen

1.9k citations
81 papers · 1.5k · h-index 21

Impact in

Papers in

Yao Chen

78 papers receiving 1.4k citations

Peers

Yao Chen
Comparison fields: 5 of 159
  • Health, Toxicology and Mutagenesis 180
  • Biomaterials 170
  • Food Science 162
  • Biomedical Engineering 354
  • Neurology 54
Replace Massimiliano G. Bianchi with:
Massimiliano G. Bianchi Italy
Hua Wang China
Yifan Zhao China
Jingjing He China
Manuel Scimeca Italy
Ming‐Hsien Tsai Taiwan
Jared M. Brown United States
Rui Fernandes Portugal
Pawan Kumar Gupta India
Hsi‐Chin Wu Taiwan
Yao Chen relative to Massimiliano G. Bianchi Italy Massimiliano G. Bianchi's profile →
Citations per field
00.5×1.5×2.4×
Massimiliano G. Bianchi · 1×
Citations per year

Countries citing papers authored by Yao Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yao Chen Line = papers co-authored together Yao Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009210
2 2019147
3 201798
4 202168
5 202052
6 201841
7 201841
8 200838
9 201536
10 201833
11 201831
12 201228
13 201927
14 201326
15 201925
16 202223
17 202123
18 201323
19 201622
20 201621

About Yao Chen

Yao Chen is a scholar working on Biomedical Engineering, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Ultrasound and Hyperthermia Applications (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Nanoplatforms for cancer theranostics (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Mesenchymal stem cell research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (180 citations), Biomaterials (170 citations), Food Science (162 citations), Biomedical Engineering (354 citations) and Neurology (54 citations). Yao Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Mei Tian, Xianyong Lin, Xiaoyu Liu, Han Zhang, Yong Yao, Sainan Zhu, Jie Ding, Qingfeng Fan, Jing Miao and Na Guan. Their work appears in journals such as PLoS ONE, Journal of Nuclear Medicine, Advanced Functional Materials, Blood and Ultrasound in Medicine & Biology.

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.

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