Yuan-Ju Wu

17 total papers · 554 total citations
11 papers, 412 citations indexed

About

Yuan-Ju Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Yuan-Ju Wu has authored 11 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Yuan-Ju Wu's work include Neuroscience and Neuropharmacology Research (5 papers), Virology and Viral Diseases (4 papers) and Cellular transport and secretion (3 papers). Yuan-Ju Wu is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Virology and Viral Diseases (4 papers) and Cellular transport and secretion (3 papers). Yuan-Ju Wu collaborates with scholars based in Germany, United States and China. Yuan-Ju Wu's co-authors include Christian Rosenmund, Sushama Varma, Chitra Suri, Paul S. Buckmaster, Ravi Tolwani, Eric M. Shooter, José Miguel Cosgaya, Thorsten Trimbuch, Marife Arancillo and Shuwen Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Environmental Science & Technology.

In The Last Decade

Yuan-Ju Wu

11 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Yuan-Ju Wu 189 176 120 102 59 11 412
Anitha K. Panicker 221 1.2× 172 1.0× 108 0.9× 110 1.1× 30 0.5× 10 490
Chun Hung Chan 186 1.0× 226 1.3× 85 0.7× 134 1.3× 43 0.7× 11 451
Michael L. Garcia 205 1.1× 164 0.9× 113 0.9× 58 0.6× 21 0.4× 12 457
Romana Tomasoni 128 0.7× 215 1.2× 72 0.6× 39 0.4× 63 1.1× 10 481
Megan Slaker 286 1.5× 137 0.8× 156 1.3× 40 0.4× 20 0.3× 9 458
Yanwei Xi 124 0.7× 196 1.1× 250 2.1× 53 0.5× 28 0.5× 15 471
Miguel Turrero Garcίa 143 0.8× 307 1.7× 52 0.4× 157 1.5× 36 0.6× 15 462
Adeline Orts-Del’Immagine 140 0.7× 126 0.7× 117 1.0× 116 1.1× 71 1.2× 11 392
Florence Jaouen 151 0.8× 275 1.6× 201 1.7× 88 0.9× 24 0.4× 9 487
Amy Peaire 217 1.1× 125 0.7× 137 1.1× 52 0.5× 23 0.4× 8 404

Countries citing papers authored by Yuan-Ju Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Ju Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan-Ju Wu

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