Matthew A. Barrett

15 total papers · 454 total citations
11 papers, 365 citations indexed

About

Matthew A. Barrett is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, Matthew A. Barrett has authored 11 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Organic Chemistry. Recurrent topics in Matthew A. Barrett's work include Lipid Membrane Structure and Behavior (8 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Surfactants and Colloidal Systems (3 papers). Matthew A. Barrett is often cited by papers focused on Lipid Membrane Structure and Behavior (8 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Surfactants and Colloidal Systems (3 papers). Matthew A. Barrett collaborates with scholars based in Canada, Germany and United States. Matthew A. Barrett's co-authors include Maikel C. Rheinstädter, Richard J. Alsop, Clare L. Armstrong, Laura Toppozini, John Katsaras, Hannah Dies, Norbert Kučerka, Jan Peter Embs, Thomas Hauß and Tim Salditt and has published in prestigious journals such as PLoS ONE, Soft Matter and European Biophysics Journal.

In The Last Decade

Matthew A. Barrett

11 papers receiving 357 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 A. Barrett 291 118 67 56 43 11 365
Mohammad Alwarawrah 315 1.1× 89 0.8× 50 0.7× 58 1.0× 29 0.7× 9 342
Youngjik Choi 279 1.0× 82 0.7× 62 0.9× 30 0.5× 32 0.7× 7 346
Dorit R. Gauger 293 1.0× 129 1.1× 38 0.6× 42 0.8× 23 0.5× 16 375
Adrian S. Muresan 276 0.9× 66 0.6× 39 0.6× 67 1.2× 34 0.8× 9 400
N. L. Gershfeld 268 0.9× 145 1.2× 42 0.6× 117 2.1× 16 0.4× 19 391
Adéla Melcrová 257 0.9× 93 0.8× 46 0.7× 30 0.5× 14 0.3× 16 368
Undine Dietrich 235 0.8× 70 0.6× 54 0.8× 86 1.5× 20 0.5× 16 359
Ya-Wei Hsueh 307 1.1× 74 0.6× 29 0.4× 90 1.6× 30 0.7× 12 350
François Borle 235 0.8× 64 0.5× 81 1.2× 39 0.7× 16 0.4× 13 364
Lothar Pratsch 199 0.7× 35 0.3× 44 0.7× 44 0.8× 34 0.8× 13 343

Countries citing papers authored by Matthew A. Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Barrett

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