Guo‐Yun Chen

32 total papers · 1.3k total citations
24 papers, 1.1k citations indexed

About

Guo‐Yun Chen is a scholar working on Immunology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Guo‐Yun Chen has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 13 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Guo‐Yun Chen's work include Glycosylation and Glycoproteins Research (9 papers), Immune Response and Inflammation (6 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Guo‐Yun Chen is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Immune Response and Inflammation (6 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Guo‐Yun Chen collaborates with scholars based in United States, Japan and China. Guo‐Yun Chen's co-authors include Pan Zheng, Yang Liu, Jie Tang, Yin Wu, Lizhong Wang, Chong Chen, Xing Chang, Chao Lan, Keiichiro Sakuma and Reiji Kannagi and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Guo‐Yun Chen

23 papers receiving 1.0k citations

Hit Papers

CD24 and Siglec-10 Select... 2009 2026 2014 2020 2009 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Guo‐Yun Chen 676 432 156 149 76 24 1.1k
Myoungsun Son 666 1.0× 290 0.7× 211 1.4× 122 0.8× 64 0.8× 25 1.1k
Ana‐Maria Dragoi 418 0.6× 388 0.9× 212 1.4× 89 0.6× 91 1.2× 25 926
Yonggang Sha 571 0.8× 381 0.9× 226 1.4× 129 0.9× 97 1.3× 18 1.1k
Hirotaka Kazama 547 0.8× 371 0.9× 193 1.2× 87 0.6× 133 1.8× 16 908
Thomas A. Ferguson 676 1.0× 275 0.6× 193 1.2× 84 0.6× 101 1.3× 14 951
Stanimir S. Ivanov 516 0.8× 447 1.0× 208 1.3× 136 0.9× 111 1.5× 17 992
Rosanna Mezzapelle 314 0.5× 291 0.7× 222 1.4× 254 1.7× 82 1.1× 19 1.0k
Ivan T. Oliver 362 0.5× 476 1.1× 78 0.5× 149 1.0× 66 0.9× 20 1.0k
Chieh‐Yu Shen 280 0.4× 348 0.8× 120 0.8× 40 0.3× 111 1.5× 38 927
Alexandre Fontayne 418 0.6× 536 1.2× 54 0.3× 48 0.3× 56 0.7× 28 1.2k

Countries citing papers authored by Guo‐Yun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Yun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo‐Yun Chen

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