Mei Sun

132 total papers · 1.4k total citations
76 papers, 961 citations indexed

About

Mei Sun is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mei Sun has authored 76 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Pediatrics, Perinatology and Child Health and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mei Sun's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Soil Carbon and Nitrogen Dynamics (9 papers) and Global Maternal and Child Health (6 papers). Mei Sun is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Soil Carbon and Nitrogen Dynamics (9 papers) and Global Maternal and Child Health (6 papers). Mei Sun collaborates with scholars based in China, United States and United Kingdom. Mei Sun's co-authors include Sudhir Paul, Anthony R. Rees, S. Paul, Qingsheng Gao, Gennady Gololobov, Jun Lü, Fengshui Chang, Siyuan Tang, Huimin Zhang and Sehrish Ali and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Mei Sun

67 papers receiving 933 citations

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 260 258 172 139 86 76 961
Robert H. Harris 26 0.1× 188 0.7× 110 0.6× 77 0.6× 58 0.7× 57 1.0k
Kui Liu 50 0.2× 202 0.8× 53 0.3× 48 0.3× 86 1.0× 45 1.1k
Lei Xu 42 0.2× 183 0.7× 178 1.0× 192 1.4× 72 0.8× 67 1.1k
Hui Jiang 26 0.1× 179 0.7× 67 0.4× 59 0.4× 16 0.2× 86 1.1k
Mark Glover 50 0.2× 276 1.1× 111 0.6× 94 0.7× 17 0.2× 59 926
M. S. Swaminathan 184 0.7× 129 0.5× 59 0.3× 217 1.6× 14 0.2× 108 951
Ryan Peterson 36 0.1× 79 0.3× 30 0.2× 95 0.7× 19 0.2× 55 1.1k
Hongling Zhang 38 0.1× 171 0.7× 21 0.1× 66 0.5× 81 0.9× 87 1.2k
John M. MacGregor 369 1.4× 34 0.1× 80 0.5× 67 0.5× 52 0.6× 53 838
Brian J. Scott 17 0.1× 97 0.4× 116 0.7× 137 1.0× 39 0.5× 74 1.1k

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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