Shang‐Heng Wu

45 total papers · 859 total citations
31 papers, 640 citations indexed

About

Shang‐Heng Wu is a scholar working on Surgery, Otorhinolaryngology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shang‐Heng Wu has authored 31 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Otorhinolaryngology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shang‐Heng Wu's work include Head and Neck Cancer Studies (8 papers), Voice and Speech Disorders (8 papers) and Sinusitis and nasal conditions (7 papers). Shang‐Heng Wu is often cited by papers focused on Head and Neck Cancer Studies (8 papers), Voice and Speech Disorders (8 papers) and Sinusitis and nasal conditions (7 papers). Shang‐Heng Wu collaborates with scholars based in Taiwan, Italy and United States. Shang‐Heng Wu's co-authors include Rong‐San Jiang, Shih‐An Liu, Kai‐Li Liang, Wen‐Jiun Lin, Chen‐Chi Wang, Fun–Jou Chen, Mao‐Chang Su, Jiun‐Yih Shiao, Chung‐Han Hsin and Ching-Ping Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Laryngoscope.

In The Last Decade

Shang‐Heng Wu

31 papers receiving 628 citations

Author Peers

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

Author Last Decade Papers Cites
Shang‐Heng Wu 203 192 187 168 122 31 640
Stefania Agostino 84 0.4× 127 0.7× 168 0.9× 114 0.7× 76 0.6× 30 742
Hajime Takeshita 54 0.3× 218 1.1× 54 0.3× 41 0.2× 99 0.8× 24 747
Shirish Degwekar 67 0.3× 134 0.7× 132 0.7× 40 0.2× 5 0.0× 37 720
Mikkel Christian Alanin 221 1.1× 49 0.3× 140 0.7× 342 2.0× 10 0.1× 25 635
Lucrezia Togni 168 0.8× 42 0.2× 146 0.8× 98 0.6× 16 0.1× 39 673
Samira M. Osailan 34 0.2× 328 1.7× 226 1.2× 37 0.2× 21 0.2× 18 594
Jimmy J. Brown 83 0.4× 54 0.3× 146 0.8× 82 0.5× 10 0.1× 32 692
Shuqi Qiu 35 0.2× 170 0.9× 71 0.4× 46 0.3× 16 0.1× 33 671
John S. Schneider 216 1.1× 44 0.2× 270 1.4× 59 0.4× 7 0.1× 54 728
Samuel L. Oyer 225 1.1× 75 0.4× 225 1.2× 66 0.4× 19 0.2× 38 647

Countries citing papers authored by Shang‐Heng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shang‐Heng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang‐Heng Wu

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