Diankun Yu

22 total papers · 597 total citations
15 papers, 387 citations indexed

About

Diankun Yu is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Diankun Yu has authored 15 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Diankun Yu's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Diankun Yu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Diankun Yu collaborates with scholars based in United States, China and Canada. Diankun Yu's co-authors include Xianhua Piao, Tao Li, Rong Luo, Laura A. Schrader, Brian Chiou, Stefanie Giera, Yiping Chen, Allie K. Muthukumar, Yingnan Song and Casey K. Gilman and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Neuron.

In The Last Decade

Diankun Yu

14 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Diankun Yu 201 126 109 81 49 15 387
Sachi Kuwahara‐Otani 122 0.6× 145 1.2× 46 0.4× 42 0.5× 35 0.7× 25 398
Paul Halley 223 1.1× 54 0.4× 75 0.7× 31 0.4× 27 0.6× 10 422
Cathy Jensen 104 0.5× 101 0.8× 68 0.6× 57 0.7× 16 0.3× 11 361
Carolina Añazco 228 1.1× 44 0.3× 114 1.0× 63 0.8× 21 0.4× 20 443
Sarah Schneider 152 0.8× 110 0.9× 73 0.7× 69 0.9× 16 0.3× 13 424
Francesco Tomassoni‐Ardori 183 0.9× 28 0.2× 102 0.9× 94 1.2× 26 0.5× 15 433
Huanyu Gu 217 1.1× 89 0.7× 39 0.4× 48 0.6× 49 1.0× 13 382
Juncal Fernández‐Orth 227 1.1× 46 0.4× 114 1.0× 37 0.5× 97 2.0× 19 344
Michel Meijer 202 1.0× 154 1.2× 183 1.7× 72 0.9× 30 0.6× 8 383
Valentina Annese 110 0.5× 143 1.1× 119 1.1× 34 0.4× 14 0.3× 14 382

Countries citing papers authored by Diankun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Diankun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diankun Yu

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