Shao‐tao Tang

153 total papers · 2.4k total citations
104 papers, 1.4k citations indexed

About

Shao‐tao Tang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Shao‐tao Tang has authored 104 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Surgery, 26 papers in Pulmonary and Respiratory Medicine and 15 papers in Rheumatology. Recurrent topics in Shao‐tao Tang's work include Congenital gastrointestinal and neural anomalies (36 papers), Pediatric Hepatobiliary Diseases and Treatments (27 papers) and Intestinal Malrotation and Obstruction Disorders (21 papers). Shao‐tao Tang is often cited by papers focused on Congenital gastrointestinal and neural anomalies (36 papers), Pediatric Hepatobiliary Diseases and Treatments (27 papers) and Intestinal Malrotation and Obstruction Disorders (21 papers). Shao‐tao Tang collaborates with scholars based in China, United States and United Kingdom. Shao‐tao Tang's co-authors include Qiangsong Tong, Guoqing Cao, Shiwang Li, Shuai Li, Yong-zhong Mao, Xi Zhang, Shuai Li, Ying Yang, Shuiqing Chi and Li Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Shao‐tao Tang

98 papers receiving 1.4k citations

Hit Papers

Technical performance, su... 2025 2026 2025 3 5 8 10

Author Peers

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

Author Last Decade Papers Cites
Shao‐tao Tang 1.1k 372 222 145 123 104 1.4k
S. Glüer 643 0.6× 364 1.0× 379 1.7× 62 0.4× 139 1.1× 68 1.3k
Roberto Casella 619 0.6× 449 1.2× 396 1.8× 118 0.8× 162 1.3× 50 1.2k
Anastasios Zervas 584 0.5× 304 0.8× 275 1.2× 154 1.1× 261 2.1× 57 1.2k
Ralph J. Veenema 641 0.6× 505 1.4× 143 0.6× 118 0.8× 226 1.8× 76 1.3k
Nebıl Bal 453 0.4× 226 0.6× 240 1.1× 81 0.6× 180 1.5× 93 1.1k
E. P. Allhoff 711 0.7× 685 1.8× 396 1.8× 188 1.3× 276 2.2× 83 1.6k
Meredith T. Hull 597 0.6× 503 1.4× 268 1.2× 164 1.1× 280 2.3× 66 1.5k
Pilar González‐Peramato 555 0.5× 165 0.4× 553 2.5× 92 0.6× 178 1.4× 106 1.3k
Ó. Rodríguez Faba 670 0.6× 262 0.7× 256 1.2× 65 0.4× 164 1.3× 94 1.1k
Francesco Piscioli 598 0.6× 461 1.2× 178 0.8× 76 0.5× 388 3.2× 95 1.4k

Countries citing papers authored by Shao‐tao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐tao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐tao Tang. 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 Shao‐tao Tang. The network helps show where Shao‐tao Tang may publish in the future.

Co-authorship network of co-authors of Shao‐tao Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐tao Tang. A scholar is included among the top collaborators of Shao‐tao Tang 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 Shao‐tao Tang. Shao‐tao Tang 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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