Shan‐Tair Wang

140 total papers · 5.6k total citations
118 papers, 4.4k citations indexed

About

Shan‐Tair Wang is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Shan‐Tair Wang has authored 118 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pediatrics, Perinatology and Child Health, 28 papers in Pulmonary and Respiratory Medicine and 18 papers in Epidemiology. Recurrent topics in Shan‐Tair Wang's work include Neonatal Respiratory Health Research (16 papers), Neonatal and fetal brain pathology (14 papers) and Infant Development and Preterm Care (9 papers). Shan‐Tair Wang is often cited by papers focused on Neonatal Respiratory Health Research (16 papers), Neonatal and fetal brain pathology (14 papers) and Infant Development and Preterm Care (9 papers). Shan‐Tair Wang collaborates with scholars based in Taiwan, United States and Ukraine. Shan‐Tair Wang's co-authors include Chao Huang, Ying-Chao Chang, Tsu‐Fuh Yeh, Ching-Chuan Liu, Cheng‐Yu Chen, Ying‐Chao Chang, Pesus Chou, Hsiao‐Sheng Liu, Yee-Shin Lin and Jyh-Yuan Yang and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Shan‐Tair Wang

117 papers receiving 4.2k citations

Hit Papers

Neurologic Complications ... 1999 2026 2008 2017 1999 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Shan‐Tair Wang 949 794 766 758 676 118 4.4k
Thomas J. Walsh 1.1k 1.2× 1.1k 1.4× 457 0.6× 1.4k 1.9× 473 0.7× 193 6.3k
Takashi Ichiyama 1.7k 1.8× 1.2k 1.5× 641 0.8× 737 1.0× 327 0.5× 164 4.6k
Lei Pan 1.0k 1.1× 582 0.7× 625 0.8× 987 1.3× 362 0.5× 183 5.3k
Vivek Jain 539 0.6× 524 0.7× 571 0.7× 1.4k 1.9× 341 0.5× 118 4.3k
Sara M. Debanne 951 1.0× 797 1.0× 426 0.6× 431 0.6× 286 0.4× 104 4.3k
Joseph Lee 412 0.4× 770 1.0× 1.1k 1.4× 809 1.1× 225 0.3× 144 4.1k
Björn Pasternak 409 0.4× 1.6k 2.0× 534 0.7× 521 0.7× 470 0.7× 123 5.1k
Hans P. Sauerwein 407 0.4× 1.1k 1.4× 499 0.7× 918 1.2× 271 0.4× 119 6.2k
Tai Fai Fok 491 0.5× 969 1.2× 311 0.4× 583 0.8× 974 1.4× 170 5.7k
Anders Hviid 1.5k 1.6× 2.4k 3.0× 578 0.8× 688 0.9× 630 0.9× 158 6.7k

Countries citing papers authored by Shan‐Tair Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shan‐Tair Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan‐Tair Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shan‐Tair Wang. A scholar is included among the top collaborators of Shan‐Tair 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 Shan‐Tair Wang. Shan‐Tair 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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2026