Guann‐Juh Chen

17 total papers · 594 total citations
11 papers, 456 citations indexed

About

Guann‐Juh Chen is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Guann‐Juh Chen has authored 11 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Pathology and Forensic Medicine and 3 papers in Neurology. Recurrent topics in Guann‐Juh Chen's work include Neurological disorders and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Guann‐Juh Chen is often cited by papers focused on Neurological disorders and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Guann‐Juh Chen collaborates with scholars based in Taiwan, United States and Japan. Guann‐Juh Chen's co-authors include Brandon K. Harvey, Hui Shen, Yongquan Luo, Mahendra S. Rao, Zhi‐Bing You, Xianmin Zeng, Jia Chen, William J. Freed, Takumi Miura and Cristina M. Bäckman and has published in prestigious journals such as Stem Cells, Neuroscience Letters and Journal of Neuroscience Research.

In The Last Decade

Guann‐Juh Chen

10 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Guann‐Juh Chen 300 180 92 74 65 11 456
Yosuke Oishi 154 0.5× 206 1.1× 142 1.5× 62 0.8× 77 1.2× 13 442
Vivianne Padrun 232 0.8× 243 1.4× 65 0.7× 50 0.7× 151 2.3× 8 493
Li Zhou 249 0.8× 157 0.9× 60 0.7× 35 0.5× 15 0.2× 10 460
Xiao-ming Li 194 0.6× 104 0.6× 35 0.4× 26 0.4× 80 1.2× 15 515
Telma E. Santos 162 0.5× 247 1.4× 138 1.5× 18 0.2× 42 0.6× 8 433
A.D. Ansselin 79 0.3× 319 1.8× 78 0.8× 132 1.8× 30 0.5× 15 447
Wei Wang 164 0.5× 209 1.2× 93 1.0× 57 0.8× 10 0.2× 15 487
Victor Túlio Ribeiro‐Resende 113 0.4× 305 1.7× 82 0.9× 92 1.2× 11 0.2× 21 449
David Langer 184 0.6× 113 0.6× 35 0.4× 30 0.4× 149 2.3× 12 470
Abdelwahed Chtarto 178 0.6× 224 1.2× 62 0.7× 42 0.6× 7 0.1× 15 452

Countries citing papers authored by Guann‐Juh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guann‐Juh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guann‐Juh Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guann‐Juh Chen. A scholar is included among the top collaborators of Guann‐Juh 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 Guann‐Juh Chen. Guann‐Juh 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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2026