Matthew T. Richers

27 total papers · 750 total citations
20 papers, 672 citations indexed

About

Matthew T. Richers is a scholar working on Materials Chemistry, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew T. Richers has authored 20 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 8 papers in Organic Chemistry and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthew T. Richers's work include Photochromic and Fluorescence Chemistry (11 papers), Photoreceptor and optogenetics research (8 papers) and Luminescence and Fluorescent Materials (5 papers). Matthew T. Richers is often cited by papers focused on Photochromic and Fluorescence Chemistry (11 papers), Photoreceptor and optogenetics research (8 papers) and Luminescence and Fluorescent Materials (5 papers). Matthew T. Richers collaborates with scholars based in United States, Russia and Germany. Matthew T. Richers's co-authors include Daniel Seidel, A. Yu. Platonova, Graham C. R. Ellis‐Davies, Arne Dieckmann, K. N. Houk, Martin Breugst, Chen Zhang, Stefan Passlick, Indubhusan Deb and Deepankar Das and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Matthew T. Richers

20 papers receiving 671 citations

Author Peers

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

Author						Papers	Cites
Matthew T. Richers	501	158	123	111	63	20	672
F. Barbot	511 1.0×	172 1.1×	118 1.0×	51 0.5×	69 1.1×	33	643
Daeock Choi	307 0.6×	108 0.7×	262 2.1×	134 1.2×	60 1.0×	22	698
Yutaro Saito	481 1.0×	95 0.6×	108 0.9×	30 0.3×	70 1.1×	31	745
Sandra Pinet	296 0.6×	149 0.9×	185 1.5×	40 0.4×	42 0.7×	28	592
Le Zhang	409 0.8×	210 1.3×	136 1.1×	28 0.3×	163 2.6×	35	731
Nicolas Bogliotti	345 0.7×	260 1.6×	188 1.5×	47 0.4×	52 0.8×	39	632
Matthew J. McIldowie	317 0.6×	165 1.0×	137 1.1×	124 1.1×	43 0.7×	24	607
R. Sreekumar	263 0.5×	105 0.7×	262 2.1×	68 0.6×	58 0.9×	23	571
Yinfa Yan	316 0.6×	114 0.7×	229 1.9×	24 0.2×	46 0.7×	21	593
Beatriz Iglesias	523 1.0×	88 0.6×	171 1.4×	52 0.5×	52 0.8×	29	707

Countries citing papers authored by Matthew T. Richers

Since Specialization

Citations

This map shows the geographic impact of Matthew T. Richers'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 T. Richers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Richers more than expected).

Fields of papers citing papers by Matthew T. Richers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew T. Richers

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