Mei Sun

41 total papers · 2.8k total citations
33 papers, 2.3k citations indexed

About

Mei Sun is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Atmospheric Science. According to data from OpenAlex, Mei Sun has authored 33 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health, Toxicology and Mutagenesis, 11 papers in Environmental Chemistry and 11 papers in Atmospheric Science. Recurrent topics in Mei Sun's work include Per- and polyfluoroalkyl substances research (11 papers), Toxic Organic Pollutants Impact (11 papers) and Atmospheric chemistry and aerosols (10 papers). Mei Sun is often cited by papers focused on Per- and polyfluoroalkyl substances research (11 papers), Toxic Organic Pollutants Impact (11 papers) and Atmospheric chemistry and aerosols (10 papers). Mei Sun collaborates with scholars based in United States, China and Canada. Mei Sun's co-authors include Detlef R.U. Knappe, Yen-Ling Liu, Michael Richardson, Andrew B. Lindstrom, Benjamin Kearns, Adam Pickett, Chris Smith, Mark J. Strynar, Jamie C. DeWitt and Zachary R. Hopkins and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Mei Sun

32 papers receiving 2.2k citations

Hit Papers

Legacy and Emerging Perfl... 2016 2026 2019 2022 2016 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mei Sun 1.6k 1.3k 782 212 208 33 2.3k
Lin Xu 1.2k 0.8× 1.6k 1.3× 724 0.9× 264 1.2× 279 1.3× 77 2.8k
Gretta Goldenman 2.5k 1.6× 2.0k 1.5× 1.0k 1.3× 101 0.5× 135 0.6× 21 3.2k
Christophe Rosin 1.1k 0.7× 1.3k 1.0× 712 0.9× 121 0.6× 259 1.2× 28 2.4k
Yanna Liang 1.3k 0.8× 891 0.7× 523 0.7× 129 0.6× 219 1.1× 48 1.7k
Jinyong Liu 1.6k 1.0× 1.3k 1.0× 816 1.0× 341 1.6× 552 2.7× 75 3.1k
David T. Adamson 1.2k 0.7× 1.2k 0.9× 526 0.7× 224 1.1× 191 0.9× 72 2.3k
Rula A. Deeb 1.1k 0.7× 1.2k 0.9× 461 0.6× 202 1.0× 287 1.4× 39 2.3k
Jean-François Munoz 1.1k 0.7× 1.3k 1.0× 613 0.8× 94 0.4× 182 0.9× 23 1.9k
Xavier Dauchy 1.4k 0.9× 1.9k 1.4× 726 0.9× 156 0.7× 267 1.3× 48 2.9k
Huiting Chen 720 0.5× 829 0.6× 356 0.5× 218 1.0× 235 1.1× 45 1.9k

Countries citing papers authored by Mei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Sun

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