Yan Qu

14 total papers · 4.3k total citations
8 papers, 737 citations indexed

About

Yan Qu is a scholar working on Astronomy and Astrophysics, Instrumentation and Molecular Biology. According to data from OpenAlex, Yan Qu has authored 8 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 2 papers in Molecular Biology. Recurrent topics in Yan Qu's work include Galaxies: Formation, Evolution, Phenomena (4 papers), Astronomy and Astrophysical Research (4 papers) and Plant and animal studies (1 paper). Yan Qu is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (4 papers), Astronomy and Astrophysical Research (4 papers) and Plant and animal studies (1 paper). Yan Qu collaborates with scholars based in China, Netherlands and United Kingdom. Yan Qu's co-authors include Matthieu Schaller, Joop Schaye, Michelle Furlong, Robert A. Crain, R. G. Bower, Tom Theuns, John Helly, James W. Trayford, Adrian Jenkins and Ian G. McCarthy and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Energy and BMC Pediatrics.

In The Last Decade

Yan Qu

8 papers receiving 722 citations

Hit Papers

The EAGLE simulation of g... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. The EAGLE simulation of galaxy formation: public release of halo and galaxy catalogues
    2016 400 citations Stuart McAlpine, John Helly et al. Liverpool John Moores University profile →

Author Peers

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

Author Last Decade Papers Cites
Yan Qu 715 438 96 41 30 8 737
Brendan F. Griffen 842 1.2× 447 1.0× 95 1.0× 35 0.9× 44 1.5× 11 867
Mattia Fumagalli 855 1.2× 513 1.2× 66 0.7× 20 0.5× 32 1.1× 11 875
Alexander J. Mendez 732 1.0× 360 0.8× 131 1.4× 26 0.6× 29 1.0× 13 745
Chiara Tonini 808 1.1× 490 1.1× 115 1.2× 29 0.7× 22 0.7× 18 816
Gregory S. Novak 726 1.0× 333 0.8× 111 1.2× 35 0.9× 40 1.3× 15 743
Sharon Lapiner 818 1.1× 498 1.1× 89 0.9× 19 0.5× 36 1.2× 16 847
Greg Snyder 774 1.1× 392 0.9× 115 1.2× 36 0.9× 52 1.7× 4 818
D. Corre 750 1.0× 279 0.6× 114 1.2× 19 0.5× 27 0.9× 11 775
M. F. Skrutskie 778 1.1× 363 0.8× 109 1.1× 20 0.5× 31 1.0× 8 802
H. Salas 665 0.9× 281 0.6× 89 0.9× 19 0.5× 26 0.9× 7 693

Countries citing papers authored by Yan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Qu

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