Chuan-Song Wu

24 total papers · 558 total citations
20 papers, 394 citations indexed

About

Chuan-Song Wu is a scholar working on Sensory Systems, Neurology and Otorhinolaryngology. According to data from OpenAlex, Chuan-Song Wu has authored 20 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sensory Systems, 8 papers in Neurology and 7 papers in Otorhinolaryngology. Recurrent topics in Chuan-Song Wu's work include Hearing, Cochlea, Tinnitus, Genetics (9 papers), Vestibular and auditory disorders (8 papers) and Ear Surgery and Otitis Media (5 papers). Chuan-Song Wu is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (9 papers), Vestibular and auditory disorders (8 papers) and Ear Surgery and Otitis Media (5 papers). Chuan-Song Wu collaborates with scholars based in Taiwan and United States. Chuan-Song Wu's co-authors include Herng‐Ching Lin, Pin-Zhir Chao, Chao‐Hsiun Tang, Tsong-Hai Lee, Chen-Yuan Charlie Yang, Cheng-Hua Lee, Pao‐Hsien Chu, Sheng-Tzu Hung, Yen‐Fu Cheng and Sudha Xirasagar and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Chuan-Song Wu

20 papers receiving 383 citations

Author Peers

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

Author Last Decade Papers Cites
Chuan-Song Wu 163 123 98 85 74 20 394
Zeljka Calic 166 1.0× 49 0.4× 144 1.5× 16 0.2× 6 0.1× 30 390
C. Bianco 63 0.4× 25 0.2× 43 0.4× 15 0.2× 13 0.2× 17 442
C.‐H. Kao 48 0.3× 41 0.3× 38 0.4× 42 0.5× 2 0.0× 18 414
Sarah McIsaac 110 0.7× 37 0.3× 155 1.6× 8 0.1× 3 0.0× 21 362
Medhat R. Wassef 40 0.2× 71 0.6× 27 0.3× 24 0.3× 2 0.0× 16 346
Daniel J. Pender 199 1.2× 156 1.3× 38 0.4× 57 0.7× 2 0.0× 19 411
Nathan Shlamkovitch 44 0.3× 26 0.2× 83 0.8× 44 0.5× 17 377
Luke Ledbetter 38 0.2× 24 0.2× 163 1.7× 57 0.7× 1 0.0× 34 405
İsa Özbay 44 0.3× 42 0.3× 20 0.2× 142 1.7× 34 387
Yue-Shih Chen 63 0.4× 98 0.8× 20 0.2× 71 0.8× 19 439

Countries citing papers authored by Chuan-Song Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chuan-Song Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan-Song Wu

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