Yun Wu

41 total papers · 934 total citations
35 papers, 783 citations indexed

About

Yun Wu is a scholar working on Molecular Biology, Food Science and Plant Science. According to data from OpenAlex, Yun Wu has authored 35 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Food Science and 6 papers in Plant Science. Recurrent topics in Yun Wu's work include Nicotinic Acetylcholine Receptors Study (12 papers), Receptor Mechanisms and Signaling (8 papers) and Fermentation and Sensory Analysis (5 papers). Yun Wu is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (12 papers), Receptor Mechanisms and Signaling (8 papers) and Fermentation and Sensory Analysis (5 papers). Yun Wu collaborates with scholars based in China, United States and Hungary. Yun Wu's co-authors include Hua Shi, Ziyu Lin, Ying Ju, Jinjin Li, Quan Zou, Qingqi Hong, Yongsheng Tao, Xingjie Wang, Wenjuan Qu and Zhiqiang Zeng and has published in prestigious journals such as PLoS ONE, Food Chemistry and ACS Catalysis.

In The Last Decade

Yun Wu

34 papers receiving 771 citations

Author Peers

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

Author						Papers	Cites
Yun Wu	430	292	145	92	71	35	783
Marcela Wilkens	330 0.8×	326 1.1×	229 1.6×	50 0.5×	124 1.7×	26	832
Shuai-Cheng Wu	386 0.9×	127 0.4×	100 0.7×	39 0.4×	37 0.5×	24	735
Xiaofei Shen	420 1.0×	142 0.5×	136 0.9×	59 0.6×	21 0.3×	47	775
Qian Liang	549 1.3×	168 0.6×	243 1.7×	26 0.3×	32 0.5×	58	908
Eliane Garo	464 1.1×	128 0.4×	207 1.4×	46 0.5×	99 1.4×	32	872
Mourad Bendahou	216 0.5×	387 1.3×	328 2.3×	23 0.3×	141 2.0×	48	820
Markus Burkard	413 1.0×	77 0.3×	105 0.7×	67 0.7×	93 1.3×	40	893
Elaine Wan Ling Chan	325 0.8×	105 0.4×	109 0.8×	70 0.8×	44 0.6×	27	694
Maria Silvana Alves	284 0.7×	218 0.7×	302 2.1×	38 0.4×	74 1.0×	48	825
Debjani Dasgupta	364 0.8×	132 0.5×	130 0.9×	13 0.1×	28 0.4×	40	795

Countries citing papers authored by Yun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wu. A scholar is included among the top collaborators of Yun 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 Yun Wu. Yun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact