Zhangyi Liu

654 total citations
14 papers, 173 citations indexed

About

Zhangyi Liu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Zhangyi Liu has authored 14 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Zhangyi Liu's work include Cytokine Signaling Pathways and Interactions (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Chemokine receptors and signaling (2 papers). Zhangyi Liu is often cited by papers focused on Cytokine Signaling Pathways and Interactions (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Chemokine receptors and signaling (2 papers). Zhangyi Liu collaborates with scholars based in China. Zhangyi Liu's co-authors include Hengwei Zhang, Lei Zhang, Jiu Hui Wu, Zhen Liu, Jing Li, Siwen Zhang, Jiu Hui Wu, Li Shen, Gang Fu and Fang Liu and has published in prestigious journals such as Frontiers in Immunology, Journal of the Optical Society of America A and Journal of Experimental & Clinical Cancer Research.

In The Last Decade

Zhangyi Liu

14 papers receiving 171 citations

Peers

Zhangyi Liu
Comparison fields: 5 of 70
  • Biomedical Engineering 59
  • Molecular Biology 54
  • Endocrinology, Diabetes and Metabolism 32
  • Mechanical Engineering 31
  • Oncology 24
Replace Н. В. Боровкова with:
Н. В. Боровкова Russia
Weijia Yan Germany
Yang Han China
Yingzhen Niu China
Zili Wang China
Shuichiro FUKUSHIMA Japan
Chenxi Mao China
Ken Imai Japan
Pedro Henrique Justino Oliveira Limírio Brazil
Yusuke Nishio Japan
Н. В. Боровкова Russia View profile →
Citations per field, relative to Zhangyi Liu
Zhangyi Liu · 1×
Citations per year, relative to Zhangyi Liu
Zhangyi Liu · 1×

Countries citing papers authored by Zhangyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhangyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangyi Liu. A scholar is included among the top collaborators of Zhangyi Liu 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 Zhangyi Liu. Zhangyi Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 3
2 13
3 14
4 4
5 4
6 8
7 42
8 13
9 38
10 3
11 20
12 1
13 3
14 7

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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