Liang Qu

60 total papers · 2.6k total citations
39 papers, 1.3k citations indexed

About

Liang Qu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Liang Qu has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Ecology. Recurrent topics in Liang Qu's work include Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and RNA and protein synthesis mechanisms (4 papers). Liang Qu is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and RNA and protein synthesis mechanisms (4 papers). Liang Qu collaborates with scholars based in China, Japan and France. Liang Qu's co-authors include Jean‐Pierre Bachellerie, Bernard Michot, Roland Perasso, Anne Baroin, Chunsheng Dong, Lin Wei, Haoyi Wang, Sidong Xiong, Chunhui Wang and Ying Yu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Liang Qu

38 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
Liang Qu	936	148	125	118	89	39	1.3k
Brian M. McDermott	484 0.5×	109 0.7×	124 1.0×	82 0.7×	246 2.8×	27	1.1k
Radek Šindelka	944 1.0×	166 1.1×	190 1.5×	80 0.7×	24 0.3×	35	1.5k
Peter A. Thomason	916 1.0×	62 0.4×	170 1.4×	62 0.5×	45 0.5×	41	1.5k
A. J. Rowe	824 0.9×	74 0.5×	141 1.1×	132 1.1×	105 1.2×	35	1.5k
Li Ma	599 0.6×	67 0.5×	201 1.6×	129 1.1×	30 0.3×	59	1.4k
Shaochun Yuan	719 0.8×	133 0.9×	83 0.7×	111 0.9×	30 0.3×	53	1.8k
Ursula Sauder	1.2k 1.3×	54 0.4×	113 0.9×	116 1.0×	35 0.4×	34	1.8k
S. R. Dlouhy	1.1k 1.2×	108 0.7×	280 2.2×	73 0.6×	35 0.4×	43	1.7k
Lucía B. Chemes	961 1.0×	100 0.7×	167 1.3×	147 1.2×	19 0.2×	40	1.3k
Song Cao	1.0k 1.1×	264 1.8×	257 2.1×	115 1.0×	59 0.7×	59	1.7k

Countries citing papers authored by Liang Qu

Since Specialization

Citations

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

Fields of papers citing papers by Liang Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Qu

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