Yun Tan

25 total papers · 1.2k total citations
22 papers, 921 citations indexed

About

Yun Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Yun Tan has authored 22 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in Yun Tan's work include Autism Spectrum Disorder Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Tryptophan and brain disorders (4 papers). Yun Tan is often cited by papers focused on Autism Spectrum Disorder Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Tryptophan and brain disorders (4 papers). Yun Tan collaborates with scholars based in China, United States and Belgium. Yun Tan's co-authors include Dong Zhou, Lian Yuan Cao, Xiang Yang Zhang, Gui Ying Wu, Xiangyang Zhang, Yan Shen, Qi Xu, Colin N. Haile, Thomas R. Kosten and Therese A. Kosten and has published in prestigious journals such as Chemical Physics Letters, Neuropsychopharmacology and Molecular Pharmacology.

In The Last Decade

Yun Tan

21 papers receiving 904 citations

Author Peers

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

Author Last Decade Papers Cites
Yun Tan 342 294 216 198 181 22 921
Peter Schoenknecht 206 0.6× 181 0.6× 260 1.2× 237 1.2× 148 0.8× 20 905
Shuken Boku 273 0.8× 216 0.7× 132 0.6× 143 0.7× 213 1.2× 19 933
Ni Fan 358 1.0× 314 1.1× 169 0.8× 169 0.9× 223 1.2× 49 1.2k
Carl Björkholm 443 1.3× 414 1.4× 123 0.6× 127 0.6× 192 1.1× 14 1.1k
Giampaolo Milior 310 0.9× 310 1.1× 87 0.4× 104 0.5× 174 1.0× 22 1.1k
Fuencisla Pilar-Cuéllar 610 1.8× 241 0.8× 110 0.5× 163 0.8× 298 1.6× 40 1.2k
Elena Dale 363 1.1× 238 0.8× 91 0.4× 150 0.8× 293 1.6× 21 1.1k
Caroline Biojone 450 1.3× 236 0.8× 78 0.4× 141 0.7× 250 1.4× 37 1.1k
Charlotte Pugh 230 0.7× 297 1.0× 111 0.5× 185 0.9× 118 0.7× 16 1.2k
Anand Gururajan 325 1.0× 302 1.0× 98 0.5× 134 0.7× 299 1.7× 30 1.1k

Countries citing papers authored by Yun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Tan

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