Ting‐Shun Wang

21 total papers · 539 total citations
18 papers, 377 citations indexed

About

Ting‐Shun Wang is a scholar working on Immunology, Dermatology and Hematology. According to data from OpenAlex, Ting‐Shun Wang has authored 18 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Dermatology and 6 papers in Hematology. Recurrent topics in Ting‐Shun Wang's work include Psoriasis: Treatment and Pathogenesis (12 papers), Dermatology and Skin Diseases (9 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Ting‐Shun Wang is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (12 papers), Dermatology and Skin Diseases (9 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Ting‐Shun Wang collaborates with scholars based in Taiwan, United States and United Kingdom. Ting‐Shun Wang's co-authors include Tsen‐Fang Tsai, Hsien‐Yi Chiu, Ya‐Chu Tsai, Chih‐Chieh Chan, Sung‐Jan Lin, Jin‐Bon Hong, Rosaline Chung‐Yee Hui, Yu-Huei Huang, Yu‐Huei Huang and Yang‐Ching Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the American Academy of Dermatology.

In The Last Decade

Ting‐Shun Wang

17 papers receiving 362 citations

Author Peers

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

Author Last Decade Papers Cites
Ting‐Shun Wang 286 176 78 58 54 18 377
Ya‐Chu Tsai 222 0.8× 179 1.0× 49 0.6× 59 1.0× 46 0.9× 16 367
Silja Domm 215 0.8× 162 0.9× 61 0.8× 79 1.4× 30 0.6× 12 346
R. Torrado 310 1.1× 133 0.8× 53 0.7× 52 0.9× 35 0.6× 12 369
Richuan Zheng 260 0.9× 197 1.1× 61 0.8× 72 1.2× 53 1.0× 10 345
Bruno de Oliveira Rocha 293 1.0× 144 0.8× 78 1.0× 29 0.5× 45 0.8× 16 427
Luis Dehesa 167 0.6× 132 0.8× 44 0.6× 63 1.1× 47 0.9× 24 351
M‐A Richard 273 1.0× 182 1.0× 83 1.1× 46 0.8× 18 0.3× 13 415
Gabrielle Brown 253 0.9× 155 0.9× 51 0.7× 43 0.7× 52 1.0× 17 440
Nancy Cross 361 1.3× 205 1.2× 83 1.1× 20 0.3× 75 1.4× 20 414
J. M. P. A. van den Reek 334 1.2× 192 1.1× 89 1.1× 37 0.6× 62 1.1× 30 412

Countries citing papers authored by Ting‐Shun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Shun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Shun Wang. 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 Ting‐Shun Wang. The network helps show where Ting‐Shun Wang may publish in the future.

Co-authorship network of co-authors of Ting‐Shun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Shun Wang. A scholar is included among the top collaborators of Ting‐Shun Wang 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 Ting‐Shun Wang. Ting‐Shun Wang 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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