Yun Qu

70 total papers · 1.7k total citations
47 papers, 1.3k citations indexed

About

Yun Qu is a scholar working on Neurology, Rehabilitation and Molecular Biology. According to data from OpenAlex, Yun Qu has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 10 papers in Rehabilitation and 9 papers in Molecular Biology. Recurrent topics in Yun Qu's work include Stroke Rehabilitation and Recovery (10 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Metal-Organic Frameworks: Synthesis and Applications (7 papers). Yun Qu is often cited by papers focused on Stroke Rehabilitation and Recovery (10 papers), Transcranial Magnetic Stimulation Studies (9 papers) and Metal-Organic Frameworks: Synthesis and Applications (7 papers). Yun Qu collaborates with scholars based in China and United States. Yun Qu's co-authors include John W. McDonald, Todd J. Stewart, Terrence F. Holekamp, Su Liu, Michael J. Howard, Shushovan Chakrabortty, Joel M. Levine, Xiuli Wang, Guo‐Cheng Liu and Hong‐Yan Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Developmental Cell.

In The Last Decade

Yun Qu

46 papers receiving 1.2k 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 Qu 384 370 350 240 173 47 1.3k
Maurizio Sabbatini 356 0.9× 114 0.3× 329 0.9× 355 1.5× 108 0.6× 107 1.8k
Masayuki Yamada 390 1.0× 402 1.1× 348 1.0× 122 0.5× 17 0.1× 49 1.3k
S Senthil Kumaran 225 0.6× 105 0.3× 130 0.4× 226 0.9× 123 0.7× 127 1.4k
Qingjiang Li 414 1.1× 194 0.5× 388 1.1× 396 1.6× 49 0.3× 37 1.6k
İlknur Ay 303 0.8× 68 0.2× 218 0.6× 568 2.4× 34 0.2× 51 1.6k
Shusen Cui 449 1.2× 168 0.5× 512 1.5× 140 0.6× 67 0.4× 60 1.4k
Kai Zhao 631 1.6× 87 0.2× 217 0.6× 177 0.7× 35 0.2× 67 1.4k
Steven K. Salzman 265 0.7× 254 0.7× 579 1.7× 141 0.6× 46 0.3× 47 1.8k
Dong-Kyu Park 352 0.9× 224 0.6× 243 0.7× 117 0.5× 14 0.1× 55 1.2k
Anna Sarnowska 568 1.5× 356 1.0× 311 0.9× 167 0.7× 49 0.3× 65 1.5k

Countries citing papers authored by Yun Qu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Qu

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