Bing Tang

104 total papers · 2.1k total citations
64 papers, 1.5k citations indexed

About

Bing Tang is a scholar working on Rehabilitation, Molecular Biology and Dermatology. According to data from OpenAlex, Bing Tang has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Rehabilitation, 18 papers in Molecular Biology and 14 papers in Dermatology. Recurrent topics in Bing Tang's work include Wound Healing and Treatments (31 papers), Dermatologic Treatments and Research (12 papers) and Diabetic Foot Ulcer Assessment and Management (9 papers). Bing Tang is often cited by papers focused on Wound Healing and Treatments (31 papers), Dermatologic Treatments and Research (12 papers) and Diabetic Foot Ulcer Assessment and Management (9 papers). Bing Tang collaborates with scholars based in China, United States and Belarus. Bing Tang's co-authors include Zhicheng Hu, Jiayuan Zhu, Peng Wang, Dong Guo, Xiaoling Cao, Shaobin Huang, Wei Yang, Rui Guo, Andrei Hancharou and Yong Lan and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Bing Tang

59 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Bing Tang 621 449 306 204 180 64 1.5k
Deshka S. Foster 659 1.1× 375 0.8× 265 0.9× 358 1.8× 145 0.8× 54 1.9k
Bin Shu 664 1.1× 499 1.1× 194 0.6× 170 0.8× 225 1.3× 76 1.5k
Swathi Balaji 638 1.0× 504 1.1× 307 1.0× 355 1.7× 135 0.8× 63 1.9k
Matthew Caley 519 0.8× 628 1.4× 192 0.6× 172 0.8× 142 0.8× 38 1.8k
Ryan Moseley 613 1.0× 546 1.2× 331 1.1× 266 1.3× 115 0.6× 65 2.4k
Nikolaos T. Georgopoulos 543 0.9× 524 1.2× 259 0.8× 248 1.2× 131 0.7× 36 2.0k
Peng Wang 718 1.2× 631 1.4× 363 1.2× 200 1.0× 93 0.5× 57 1.7k
Holly N. Wilkinson 939 1.5× 360 0.8× 386 1.3× 212 1.0× 248 1.4× 31 1.8k
Yan Liu 569 0.9× 388 0.9× 355 1.2× 157 0.8× 94 0.5× 62 1.8k
Mariarosaria Galeano 664 1.1× 398 0.9× 194 0.6× 388 1.9× 124 0.7× 38 1.7k

Countries citing papers authored by Bing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Tang

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