Bing Tang

122 total papers · 1.2k total citations
42 papers, 643 citations indexed

About

Bing Tang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Bing Tang has authored 42 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 20 papers in Public Health, Environmental and Occupational Health and 5 papers in Molecular Biology. Recurrent topics in Bing Tang's work include Mosquito-borne diseases and control (20 papers), Viral Infections and Vectors (17 papers) and COVID-19 Clinical Research Studies (8 papers). Bing Tang is often cited by papers focused on Mosquito-borne diseases and control (20 papers), Viral Infections and Vectors (17 papers) and COVID-19 Clinical Research Studies (8 papers). Bing Tang collaborates with scholars based in Australia, Japan and France. Bing Tang's co-authors include Andreas Suhrbier, Kexin Yan, Daniel J. Rawle, Thuy T. Le, Troy Dumenil, Natalie A. Prow, Cameron Bishop, Jody Hobson‐Peters, Eri Nakayama and Thuy T. T. Le and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Bing Tang

37 papers receiving 637 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 399 311 94 83 74 42 643
Kexin Yan 351 0.9× 243 0.8× 91 1.0× 68 0.8× 72 1.0× 49 666
Frank Gessler 102 0.3× 118 0.4× 248 2.6× 62 0.7× 24 0.3× 42 777
Karin Kosulin 376 0.9× 154 0.5× 140 1.5× 297 3.6× 7 0.1× 26 781
Felicia Grasso 93 0.2× 99 0.3× 306 3.3× 114 1.4× 25 0.3× 26 681
Keun‐Hwa Lee 391 1.0× 131 0.4× 117 1.2× 183 2.2× 5 0.1× 50 770
Patricia Colque‐Navarro 264 0.7× 90 0.3× 232 2.5× 60 0.7× 38 0.5× 25 620
Peter Hufnagl 222 0.6× 73 0.2× 128 1.4× 37 0.4× 116 1.6× 23 594
Weilong Tan 417 1.0× 123 0.4× 131 1.4× 49 0.6× 7 0.1× 56 756
I‐Hsiu Huang 208 0.5× 116 0.4× 321 3.4× 106 1.3× 13 0.2× 38 735
J. Fletcher 114 0.3× 37 0.1× 76 0.8× 128 1.5× 36 0.5× 28 675

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026