Xingyong Chen

46 total papers · 787 total citations
27 papers, 593 citations indexed

About

Xingyong Chen is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Xingyong Chen has authored 27 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Neurology and 5 papers in Epidemiology. Recurrent topics in Xingyong Chen's work include Neurological Disease Mechanisms and Treatments (5 papers), S100 Proteins and Annexins (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Xingyong Chen is often cited by papers focused on Neurological Disease Mechanisms and Treatments (5 papers), S100 Proteins and Annexins (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Xingyong Chen collaborates with scholars based in China, United States and Macao. Xingyong Chen's co-authors include Yinzhou Wang, Ruxun Huang, Lingyu Zhang, Youguang Lu, Lixian Wu, Dali Zheng, Zhong Pei, Lili Li, Jing Liu and Liying Zhang and has published in prestigious journals such as Scientific Reports, Food Chemistry and American Journal Of Pathology.

In The Last Decade

Xingyong Chen

27 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Xingyong Chen 191 141 99 65 58 27 593
Rui Lan 301 1.6× 167 1.2× 152 1.5× 39 0.6× 35 0.6× 32 644
Tianshu Xu 325 1.7× 143 1.0× 115 1.2× 37 0.6× 82 1.4× 37 699
Εleni Stamoula 294 1.5× 76 0.5× 43 0.4× 53 0.8× 60 1.0× 26 663
Yan Feng 239 1.3× 88 0.6× 90 0.9× 52 0.8× 40 0.7× 20 513
Jin Wang 284 1.5× 146 1.0× 62 0.6× 34 0.5× 74 1.3× 35 682
Xiaomeng Ma 266 1.4× 158 1.1× 36 0.4× 73 1.1× 85 1.5× 23 592
Lin Wu 242 1.3× 89 0.6× 86 0.9× 76 1.2× 53 0.9× 24 570
Jianghu Zhu 271 1.4× 106 0.8× 95 1.0× 26 0.4× 67 1.2× 47 661
Ning Wang 185 1.0× 162 1.1× 72 0.7× 47 0.7× 61 1.1× 21 527
Dinesh Joshi 361 1.9× 67 0.5× 71 0.7× 51 0.8× 106 1.8× 22 676

Countries citing papers authored by Xingyong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xingyong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyong Chen. A scholar is included among the top collaborators of Xingyong 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 Xingyong Chen. Xingyong 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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