Guifen Chen

20 total papers · 1.6k total citations
16 papers, 1.1k citations indexed

About

Guifen Chen is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Guifen Chen has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Guifen Chen's work include Memory and Neural Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neural dynamics and brain function (5 papers). Guifen Chen is often cited by papers focused on Memory and Neural Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neural dynamics and brain function (5 papers). Guifen Chen collaborates with scholars based in United States, China and United Kingdom. Guifen Chen's co-authors include Neil Burgess, John A. King, Francesca Cacucci, Yi Lü, John O’Keefe, Joe Z. Tsien, Longnian Lin, Thomas J. Wills, Daniel K. Manson and Hui Kuang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Guifen Chen

16 papers receiving 1.1k citations

Hit Papers

Differential influences o... 2012 2026 2016 2021 2019 2012 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Guifen Chen 583 431 158 135 119 16 1.1k
William E. DeCoteau 684 1.2× 589 1.4× 175 1.1× 67 0.5× 269 2.3× 28 1.5k
Hao Wang 251 0.4× 448 1.0× 203 1.3× 62 0.5× 49 0.4× 38 979
David Ho 248 0.4× 197 0.5× 80 0.5× 265 2.0× 267 2.2× 18 1.0k
Paul Patton 262 0.4× 163 0.4× 51 0.3× 99 0.7× 86 0.7× 32 935
José L. Valdés 215 0.4× 199 0.5× 215 1.4× 128 0.9× 230 1.9× 50 1.3k
Yasumasa Ueda 726 1.2× 354 0.8× 168 1.1× 75 0.6× 54 0.5× 17 1.3k
Gareth D. Price 174 0.3× 391 0.9× 227 1.4× 63 0.5× 318 2.7× 7 911
Guan Cao 189 0.3× 775 1.8× 341 2.2× 78 0.6× 42 0.4× 32 1.2k
Roberta Tatti 217 0.4× 251 0.6× 109 0.7× 276 2.0× 345 2.9× 33 955
Stéphane Pagès 224 0.4× 373 0.9× 155 1.0× 89 0.7× 162 1.4× 30 1.2k

Countries citing papers authored by Guifen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guifen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guifen Chen

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