Yang Yue

34 total papers · 1.2k total citations
19 papers, 845 citations indexed

About

Yang Yue is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Yang Yue has authored 19 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmacology. Recurrent topics in Yang Yue's work include Apelin-related biomedical research (4 papers), Hormonal Regulation and Hypertension (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Yang Yue is often cited by papers focused on Apelin-related biomedical research (4 papers), Hormonal Regulation and Hypertension (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Yang Yue collaborates with scholars based in China, United States and Germany. Yang Yue's co-authors include Judy Xu, Lydie Morel, Haruki Higashimori, Fei Xu, Gye Won Han, Suwen Zhao, David L. Nelson, Ming Sum Ruby Chiang, Xi Lin and Yiran Wu and has published in prestigious journals such as Nature, Nature Communications and Journal of Neuroscience.

In The Last Decade

Yang Yue

18 papers receiving 838 citations

Author Peers

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

Author Last Decade Papers Cites
Yang Yue 380 338 113 110 90 19 845
Sudhirkumar Yanpallewar 238 0.6× 359 1.1× 147 1.3× 66 0.6× 101 1.1× 25 895
Jan Plátenı́k 323 0.8× 216 0.6× 79 0.7× 63 0.6× 40 0.4× 27 888
Fangqiong Li 365 1.0× 469 1.4× 41 0.4× 137 1.2× 75 0.8× 33 981
Sue Yu 369 1.0× 254 0.8× 183 1.6× 60 0.5× 41 0.5× 22 941
Sufen Yang 438 1.2× 312 0.9× 231 2.0× 75 0.7× 22 0.2× 21 970
Sebastiano Alfio Torrisi 258 0.7× 182 0.5× 103 0.9× 104 0.9× 30 0.3× 32 845
Baomei Xia 287 0.8× 173 0.5× 142 1.3× 187 1.7× 85 0.9× 26 912
Yunqi Xu 261 0.7× 251 0.7× 117 1.0× 91 0.8× 35 0.4× 21 814
Sorabh Sharma 459 1.2× 188 0.6× 107 0.9× 93 0.8× 30 0.3× 34 896
Takako Takemiya 381 1.0× 332 1.0× 176 1.6× 215 2.0× 25 0.3× 28 969

Countries citing papers authored by Yang Yue

Since Specialization
Citations

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

Fields of papers citing papers by Yang Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Yue

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