Yang Zhao

4.7k citations
158 papers · 2.1k indexed · h-index 23
Topics
Advanced Proteomics Techniques and Applications (14 papers)Glycosylation and Glycoproteins Research (13 papers)COVID-19 epidemiological studies (10 papers)
Partner nations
ChinaUnited StatesMacao

In The Last Decade

Yang Zhao

134 papers receiving 2.0k citations

Peers

Yang Zhao
Comparison fields: 5 of 175
  • Molecular Biology 662
  • Biomedical Engineering 460
  • Materials Chemistry 354
  • Infectious Diseases 243
  • Oncology 192
Replace Takaaki Kobayashi with:
Takaaki Kobayashi Japan
Paul Chen Canada
Jiang Liu China
Meihua Wang China
Zhen Wang China
Ronald Ross United States
Francesco Valle Italy
Zhiguo Liu China
Kazuhiro Nomura Japan
Jiaxin Hu China
Yang Zhao relative to Takaaki Kobayashi Japan Takaaki Kobayashi's profile →
Citations per field
00.5×10×13×
Takaaki Kobayashi · 1×
Citations per year

Countries citing papers authored by Yang Zhao

Since Specialization
Citations

This map shows the geographic impact of Yang 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 Yang Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Zhao more than expected).

Fields of papers citing papers by Yang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang 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 Yang Zhao. The network helps show where Yang Zhao may publish in the future.

Co-authorship network of co-authors of Yang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Zhao. A scholar is included among the top collaborators of Yang Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yang Zhao. Yang Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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10 14
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15 65
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Plasma indoleamine 2,3-dioxygenase activity as a potential biomarker for early diagnosis of multidrug-resistant tuberculosis in tuberculosis patients
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17
A Data Driven Method for Delay Duration Estimation of High Speed Train
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Evaluation of energy saving and emission reduction performance based on multi-object decision model
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Extraction of high purity mitochondrial DNA from kenaf for genome sequencing.
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About Yang Zhao

Yang Zhao is a scholar working on Modeling and Simulation, Cancer Research and Spectroscopy, having authored 158 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (14 papers), Glycosylation and Glycoproteins Research (13 papers) and COVID-19 epidemiological studies (10 papers). The work is most often cited by research in Modeling and Simulation (127 citations), Infectious Diseases (243 citations) and Cancer Research (170 citations). Yang Zhao has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yuanwei Zhang, Gang Han, Zhanjun Li, Ling Huang, Xinhua Dai, Yongyue Wei, Xiaohong Qian, Wantao Ying, Changlin Wan and Xiangyu Zhou. Their work appears in journals such as Cell, Advanced Materials and Angewandte Chemie International Edition.

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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