Mei Nie

15 total papers · 827 total citations
13 papers, 687 citations indexed

About

Mei Nie is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Mei Nie has authored 13 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Mei Nie's work include NF-κB Signaling Pathways (4 papers), Inflammatory mediators and NSAID effects (3 papers) and Asthma and respiratory diseases (2 papers). Mei Nie is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Inflammatory mediators and NSAID effects (3 papers) and Asthma and respiratory diseases (2 papers). Mei Nie collaborates with scholars based in United Kingdom, China and Japan. Mei Nie's co-authors include Linhua Pang, Alan J. Knox, Karl Matter, María S. Balda, Lisa Corbett, Stephen J. Terry, Hiroyasu Inoue, Lisa Selbie, Amy Sutcliffe and Saima Aijaz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Mei Nie

12 papers receiving 678 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 Nie 339 163 129 127 101 13 687
Janet Beckmann 347 1.0× 91 0.6× 211 1.6× 113 0.9× 61 0.6× 10 763
Károly Szekeres 207 0.6× 75 0.5× 134 1.0× 81 0.6× 118 1.2× 18 571
I‐Chu Tseng 256 0.8× 121 0.7× 92 0.7× 138 1.1× 88 0.9× 15 629
Camilla Cerutti 284 0.8× 50 0.3× 105 0.8× 165 1.3× 133 1.3× 20 757
Bessie Meechoovet 499 1.5× 157 1.0× 118 0.9× 164 1.3× 67 0.7× 13 771
Stefano Spolitu 253 0.7× 63 0.4× 211 1.6× 107 0.8× 58 0.6× 17 749
Lisa Corbett 277 0.8× 209 1.3× 149 1.2× 100 0.8× 95 0.9× 14 697
Christian Kamp Nielsen 386 1.1× 115 0.7× 92 0.7× 74 0.6× 165 1.6× 11 686
Sunil Tomar 324 1.0× 117 0.7× 205 1.6× 161 1.3× 123 1.2× 21 746
Koushi Fujisawa 191 0.6× 90 0.6× 162 1.3× 92 0.7× 64 0.6× 17 569

Countries citing papers authored by Mei Nie

Since Specialization
Citations

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

Fields of papers citing papers by Mei Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Nie

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