Matthew J. Meier

70 total papers · 1.1k total citations
48 papers, 639 citations indexed

About

Matthew J. Meier is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Matthew J. Meier has authored 48 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 20 papers in Cancer Research and 14 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Matthew J. Meier's work include Carcinogens and Genotoxicity Assessment (15 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and DNA Repair Mechanisms (8 papers). Matthew J. Meier is often cited by papers focused on Carcinogens and Genotoxicity Assessment (15 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and DNA Repair Mechanisms (8 papers). Matthew J. Meier collaborates with scholars based in Canada, United States and United Kingdom. Matthew J. Meier's co-authors include Carole L. Yauk, Andrew Williams, Pranav Sheth, Francesco Marchetti, Marc A. Beal, Andrea Rowan‐Carroll, Iain B. Lambert, Ella Atlas, Rémi Gagné and Stephen Ferguson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Nature Reviews Genetics.

In The Last Decade

Matthew J. Meier

43 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew J. Meier 244 191 175 80 52 48 639
Alexandra Maertens 230 0.9× 176 0.9× 63 0.4× 62 0.8× 96 1.8× 39 645
Yoshikuni Yakabe 172 0.7× 351 1.8× 98 0.6× 46 0.6× 50 1.0× 33 792
Wafa Harrouk 247 1.0× 207 1.1× 85 0.5× 20 0.3× 51 1.0× 26 777
Anthony K. Palmer 173 0.7× 236 1.2× 123 0.7× 15 0.2× 56 1.1× 38 792
Ivan Curran 149 0.6× 256 1.3× 92 0.5× 165 2.1× 40 0.8× 27 656
Richard H. Bruner 220 0.9× 187 1.0× 164 0.9× 154 1.9× 28 0.5× 24 769
Tessa E. Pronk 282 1.2× 193 1.0× 57 0.3× 18 0.2× 45 0.9× 37 742
Rachel M. Patterson 365 1.5× 183 1.0× 170 1.0× 182 2.3× 12 0.2× 26 751
Marcel van Herwijnen 239 1.0× 124 0.6× 117 0.7× 37 0.5× 16 0.3× 29 591
Michael R. Bleavins 242 1.0× 215 1.1× 106 0.6× 23 0.3× 29 0.6× 33 704

Countries citing papers authored by Matthew J. Meier

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Meier. 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 Matthew J. Meier. The network helps show where Matthew J. Meier may publish in the future.

Co-authorship network of co-authors of Matthew J. Meier

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Meier. A scholar is included among the top collaborators of Matthew J. Meier 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 Matthew J. Meier. Matthew J. Meier 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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