Wen Tan

37 total papers · 1.1k total citations
32 papers, 858 citations indexed

About

Wen Tan is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Wen Tan has authored 32 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Organic Chemistry. Recurrent topics in Wen Tan's work include Bioactive Compounds and Antitumor Agents (4 papers), Atmospheric chemistry and aerosols (3 papers) and Berberine and alkaloids research (3 papers). Wen Tan is often cited by papers focused on Bioactive Compounds and Antitumor Agents (4 papers), Atmospheric chemistry and aerosols (3 papers) and Berberine and alkaloids research (3 papers). Wen Tan collaborates with scholars based in China, Macao and United States. Wen Tan's co-authors include Yitao Wang, Zhangfeng Zhong, Yingbo Li, Jin‐Jian Lu, Guosheng Wu, Zengtao Xu, Jian Gong, Xiuping Chen, Meiwan Chen and Yuanye Dang and has published in prestigious journals such as Environmental Science & Technology, Chemical Communications and Scientific Reports.

In The Last Decade

Wen Tan

28 papers receiving 845 citations

Hit Papers

Anti-cancer natural produ... 2011 2026 2016 2021 2011 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Wen Tan 452 131 122 121 116 32 858
Chieh-Yu Peng 431 1.0× 164 1.3× 129 1.1× 71 0.6× 104 0.9× 26 761
Nilanjan Ghosh 335 0.7× 151 1.2× 186 1.5× 98 0.8× 100 0.9× 34 1.0k
Qianmei Zhou 583 1.3× 97 0.7× 183 1.5× 134 1.1× 177 1.5× 45 1.0k
Sui-Lin Mo 544 1.2× 98 0.7× 131 1.1× 139 1.1× 195 1.7× 18 964
Varadharajan Thiyagarajan 488 1.1× 80 0.6× 190 1.6× 90 0.7× 96 0.8× 27 912
Muobarak J. Tuorkey 385 0.9× 75 0.6× 128 1.0× 114 0.9× 102 0.9× 25 970
Tung-Yuan Lai 597 1.3× 66 0.5× 104 0.9× 130 1.1× 132 1.1× 28 980
Raghavendra S. Patwardhan 607 1.3× 99 0.8× 98 0.8× 73 0.6× 77 0.7× 35 990
Avinaba Mukherjee 352 0.8× 90 0.7× 68 0.6× 134 1.1× 102 0.9× 40 868
Ming Yue Li 476 1.1× 94 0.7× 112 0.9× 87 0.7× 189 1.6× 30 875

Countries citing papers authored by Wen Tan

Since Specialization
Citations

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

Fields of papers citing papers by Wen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Tan

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