Shunli Tang

36 total papers · 733 total citations
24 papers, 476 citations indexed

About

Shunli Tang is a scholar working on Immunology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Shunli Tang has authored 24 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Hematology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Shunli Tang's work include Autoimmune and Inflammatory Disorders Research (7 papers), Eosinophilic Disorders and Syndromes (5 papers) and Immune Cell Function and Interaction (5 papers). Shunli Tang is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (7 papers), Eosinophilic Disorders and Syndromes (5 papers) and Immune Cell Function and Interaction (5 papers). Shunli Tang collaborates with scholars based in China and United States. Shunli Tang's co-authors include Jianjun Qiao, Hong Fang, Yuwei Ding, Shuni Ying, Taoming Liu, Yali Li, Sheng Li, Sheng Li, Dingxian Zhu and Shan Zhang and has published in prestigious journals such as Frontiers in Immunology, Journal of the American Academy of Dermatology and Carcinogenesis.

In The Last Decade

Shunli Tang

23 papers receiving 471 citations

Author Peers

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

Author Last Decade Papers Cites
Shunli Tang 202 142 114 106 97 24 476
Ángel Vera 181 0.9× 108 0.8× 47 0.4× 239 2.3× 101 1.0× 19 469
Sumiaki Tanaka 144 0.7× 61 0.4× 175 1.5× 73 0.7× 126 1.3× 39 497
Babak Itzinger-Monshi 98 0.5× 122 0.9× 115 1.0× 61 0.6× 106 1.1× 31 465
Bart W. Boom 171 0.8× 199 1.4× 86 0.8× 96 0.9× 118 1.2× 23 477
Vahide Lajevardi 190 0.9× 197 1.4× 137 1.2× 50 0.5× 117 1.2× 29 493
Antonella Murgo 87 0.4× 65 0.5× 113 1.0× 54 0.5× 208 2.1× 31 448
TH. JOOST 156 0.8× 282 2.0× 144 1.3× 35 0.3× 97 1.0× 15 533
Donald S. Waldorf 159 0.8× 174 1.2× 94 0.8× 47 0.4× 59 0.6× 16 483
Almas Khan 221 1.1× 59 0.4× 64 0.6× 47 0.4× 245 2.5× 30 507
Diletta Bonciani 78 0.4× 164 1.2× 104 0.9× 28 0.3× 203 2.1× 22 447

Countries citing papers authored by Shunli Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shunli Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunli Tang

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