Qunli Wu

24 total papers · 774 total citations
17 papers, 555 citations indexed

About

Qunli Wu is a scholar working on Physiology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Qunli Wu has authored 17 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrine and Autonomic Systems. Recurrent topics in Qunli Wu's work include Pain Mechanisms and Treatments (5 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Regulation of Appetite and Obesity (4 papers). Qunli Wu is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Regulation of Appetite and Obesity (4 papers). Qunli Wu collaborates with scholars based in China, Australia and Germany. Qunli Wu's co-authors include Xiao‐chun Liang, Romana Stark, Sarah H. Lockie, Zane B. Andrews, Moyra B. Lemus, Ling Qu, Alex Reichenbach, Yue Shi, Dana I. Briggs and Qing Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Endocrinology and Frontiers in Pharmacology.

In The Last Decade

Qunli Wu

17 papers receiving 551 citations

Author Peers

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

Author						Papers	Cites
Qunli Wu	210	194	133	123	57	17	555
Hakkı Murat Bilgin	154 0.7×	139 0.7×	107 0.8×	108 0.9×	46 0.8×	16	632
Basra Deniz Obay	159 0.8×	148 0.8×	124 0.9×	105 0.9×	43 0.8×	14	586
Cemıl Tümer	194 0.9×	190 1.0×	150 1.1×	71 0.6×	30 0.5×	24	564
Zarife Nigâr Özdemir Kumral	119 0.6×	143 0.7×	82 0.6×	95 0.8×	34 0.6×	32	551
Tomasz Brzozowski	115 0.5×	146 0.8×	90 0.7×	113 0.9×	61 1.1×	18	531
David C. Hislop	298 1.4×	119 0.6×	101 0.8×	156 1.3×	117 2.1×	11	644
Gary R. Kelm	141 0.7×	166 0.9×	113 0.8×	54 0.4×	83 1.5×	26	538
Katherine Forman	169 0.8×	134 0.7×	51 0.4×	137 1.1×	33 0.6×	19	528
Alessandra Rotondo	116 0.6×	100 0.5×	200 1.5×	84 0.7×	35 0.6×	21	596
Jehun Choi	158 0.8×	74 0.4×	79 0.6×	203 1.7×	59 1.0×	24	630

Countries citing papers authored by Qunli Wu

Since Specialization

Citations

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

Fields of papers citing papers by Qunli Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qunli Wu

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