Lin Wen

43 papers and 478 indexed citations i.

About

Lin Wen is a scholar working on Molecular Biology, Plant Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Lin Wen has authored 43 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Plant Science and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Lin Wen’s work include Effects and risks of endocrine disrupting chemicals (6 papers), Plant Parasitism and Resistance (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Lin Wen is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (6 papers), Plant Parasitism and Resistance (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Lin Wen collaborates with scholars based in China, Italy and United States. Lin Wen's co-authors include Chunxia Jing, Yingying Wu, Daoxi Lei, Shan Liu, Jinxuan Wang, Xiaomei Wu, Tao Zhang, Guixue Wang, Shuyu Li and Colm Durkan and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Chemosphere.

In The Last Decade

Co-authorship network of co-authors of Lin Wen i

Fields of papers citing papers by Lin Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Wen

Since Specialization
Citations

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