Zhang‐Peng Chen

23 total papers · 956 total citations
18 papers, 637 citations indexed

About

Zhang‐Peng Chen is a scholar working on Neurology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Zhang‐Peng Chen has authored 18 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Zhang‐Peng Chen's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Vestibular and auditory disorders (3 papers). Zhang‐Peng Chen is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Vestibular and auditory disorders (3 papers). Zhang‐Peng Chen collaborates with scholars based in China, Hong Kong and Czechia. Zhang‐Peng Chen's co-authors include Jing‐Ning Zhu, Chao Yan, Xiaoyang Zhang, Tengfei Huang, Xiangyu Liu, Qipeng Zhang, Liang Li, Jianjun Wang, Yang Xiang and Ke Zen and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Zhang‐Peng Chen

16 papers receiving 628 citations

Hit Papers

Cannabidiol inhibits huma... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhang‐Peng Chen 232 180 105 88 73 18 637
Livia Guadalupi 200 0.9× 277 1.5× 112 1.1× 139 1.6× 99 1.4× 21 781
Zaiwang Li 193 0.8× 130 0.7× 149 1.4× 61 0.7× 48 0.7× 31 695
Denisa Kirdajová 260 1.1× 258 1.4× 168 1.6× 66 0.8× 93 1.3× 19 640
Zhao‐Lan Hu 224 1.0× 132 0.7× 144 1.4× 143 1.6× 89 1.2× 28 774
Goun Je 255 1.1× 107 0.6× 174 1.7× 72 0.8× 99 1.4× 19 600
Shoko Morita 191 0.8× 258 1.4× 151 1.4× 87 1.0× 108 1.5× 25 711
Delphine Stephan 172 0.7× 89 0.5× 62 0.6× 53 0.6× 165 2.3× 20 581
Silvia Caioli 258 1.1× 134 0.7× 158 1.5× 67 0.8× 123 1.7× 28 700
Baoying Zheng 163 0.7× 231 1.3× 128 1.2× 77 0.9× 107 1.5× 33 791
Ján Kriška 282 1.2× 275 1.5× 218 2.1× 62 0.7× 110 1.5× 23 694

Countries citing papers authored by Zhang‐Peng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhang‐Peng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhang‐Peng 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 Zhang‐Peng Chen. The network helps show where Zhang‐Peng Chen may publish in the future.

Co-authorship network of co-authors of Zhang‐Peng Chen

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

All Works

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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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