Guangmin Tang

23 total papers · 878 total citations
15 papers, 611 citations indexed

About

Guangmin Tang is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Guangmin Tang has authored 15 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Guangmin Tang's work include Fungal Infections and Studies (3 papers), Antifungal resistance and susceptibility (2 papers) and Antibiotic Use and Resistance (2 papers). Guangmin Tang is often cited by papers focused on Fungal Infections and Studies (3 papers), Antifungal resistance and susceptibility (2 papers) and Antibiotic Use and Resistance (2 papers). Guangmin Tang collaborates with scholars based in China and United Kingdom. Guangmin Tang's co-authors include Zhiyong Zong, Alan McNally, Wenjing Wu, Fu Qiao, Yu Feng, Xiaoju Lv, Zhenzhen Liu, Xiang Tu, Huang Liang and Ping Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Microbiology Reviews and Scientific Reports.

In The Last Decade

Guangmin Tang

14 papers receiving 608 citations

Hit Papers

NDM Metallo-β-Lactamases ... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Guangmin Tang 454 193 145 135 117 15 611
Alexander M. Wailan 448 1.0× 222 1.2× 109 0.8× 131 1.0× 99 0.8× 23 547
Emilie Rondinaud 457 1.0× 241 1.2× 98 0.7× 117 0.9× 88 0.8× 18 561
Ståle Tofteland 481 1.1× 266 1.4× 134 0.9× 92 0.7× 73 0.6× 11 533
Alessandra Giordano 448 1.0× 236 1.2× 94 0.6× 99 0.7× 123 1.1× 11 536
Julia Wille 415 0.9× 200 1.0× 95 0.7× 145 1.1× 104 0.9× 27 542
Laurence Drieux 546 1.2× 292 1.5× 151 1.0× 96 0.7× 78 0.7× 13 642
Wai-U Lo 516 1.1× 283 1.5× 132 0.9× 91 0.7× 87 0.7× 16 584
Estelle Marcon 503 1.1× 236 1.2× 106 0.7× 162 1.2× 115 1.0× 11 686
José Manuel Ortiz de la Rosa 520 1.1× 170 0.9× 183 1.3× 117 0.9× 189 1.6× 28 571
Marius Linkevičius 434 1.0× 145 0.8× 178 1.2× 186 1.4× 120 1.0× 17 661

Countries citing papers authored by Guangmin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Guangmin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangmin Tang

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