Suxin Wan

4 papers and 986 indexed citations i.

About

Suxin Wan is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Suxin Wan has authored 4 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 1 paper in Molecular Biology and 1 paper in Epidemiology. Recurrent topics in Suxin Wan’s work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Plant-based Medicinal Research (1 paper). Suxin Wan is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Plant-based Medicinal Research (1 paper). Suxin Wan collaborates with scholars based in China and Thailand. Suxin Wan's co-authors include Chunhui Lang, Jinglong Lv, Yu Zheng, Yi Xiang, Boqun Li, Qiuyan Sun, Yang Ruishan, Xia Huang, Li Shen and Wei Fang and has published in prestigious journals such as Frontiers in Immunology, British Journal of Haematology and Journal of Medical Virology.

In The Last Decade

Co-authorship network of co-authors of Suxin Wan i

Fields of papers citing papers by Suxin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suxin Wan

Since Specialization
Citations

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

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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2026