Matthew T. Reding

16 total papers · 761 total citations
10 papers, 600 citations indexed

About

Matthew T. Reding is a scholar working on Organic Chemistry, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Matthew T. Reding has authored 10 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 3 papers in Molecular Biology and 2 papers in Inorganic Chemistry. Recurrent topics in Matthew T. Reding's work include Chemical Synthesis and Analysis (2 papers), Axial and Atropisomeric Chirality Synthesis (2 papers) and Catalytic C–H Functionalization Methods (2 papers). Matthew T. Reding is often cited by papers focused on Chemical Synthesis and Analysis (2 papers), Axial and Atropisomeric Chirality Synthesis (2 papers) and Catalytic C–H Functionalization Methods (2 papers). Matthew T. Reding collaborates with scholars based in United States and Japan. Matthew T. Reding's co-authors include Stephen L. Buchwald, Tohru Fukuyama, Udo E. W. Lange, Xavier Verdaguer, Yosuke Kaburagi, Hidetoshi Tokuyama, Takashi Yamashita, Tohru Fukuyama, Lee Funk and Melissa S. Harris and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Organic Letters.

In The Last Decade

Matthew T. Reding

10 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Matthew T. Reding	516	253	148	52	32	10	600
Michael Mertzman	462 0.9×	172 0.7×	128 0.9×	8 0.2×	22 0.7×	7	565
Priyadeep Bhutani	429 0.8×	64 0.3×	181 1.2×	51 1.0×	73 2.3×	18	679
Jonas Brånalt	437 0.8×	98 0.4×	180 1.2×	15 0.3×	19 0.6×	20	582
Thomas E. La Cruz	552 1.1×	177 0.7×	96 0.6×	9 0.2×	30 0.9×	18	617
Darren Stead	526 1.0×	106 0.4×	132 0.9×	12 0.2×	20 0.6×	18	585
Han Seul Park	544 1.1×	137 0.5×	77 0.5×	25 0.5×	34 1.1×	14	645
Daniel J. Mack	471 0.9×	76 0.3×	109 0.7×	32 0.6×	21 0.7×	13	571
Tiago O. Vieira	371 0.7×	123 0.5×	117 0.8×	14 0.3×	14 0.4×	16	509
Pau Ruiz‐Sanchis	451 0.9×	55 0.2×	113 0.8×	74 1.4×	27 0.8×	7	571
Alan Millar	378 0.7×	53 0.2×	159 1.1×	17 0.3×	15 0.5×	16	510

Countries citing papers authored by Matthew T. Reding

Since Specialization

Citations

This map shows the geographic impact of Matthew T. Reding'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. Reding 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. Reding more than expected).

Fields of papers citing papers by Matthew T. Reding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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