Matthew M. Endo

10 total papers · 877 total citations
9 papers, 677 citations indexed

About

Matthew M. Endo is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Matthew M. Endo has authored 9 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Matthew M. Endo's work include Antifungal resistance and susceptibility (6 papers), Essential Oils and Antimicrobial Activity (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Matthew M. Endo is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Essential Oils and Antimicrobial Activity (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Matthew M. Endo collaborates with scholars based in United States. Matthew M. Endo's co-authors include Martin D. Burke, Brice E. Uno, Kaitlyn Gray, Daniel S. Palacios, Karen Marchillo, Stephen Davis, Benjamin Vincent, David R. Andes, Susan Lindquist and Luke Whitesell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Chemical Biology.

In The Last Decade

Matthew M. Endo

9 papers receiving 666 citations

Hit Papers

Amphotericin primarily ki... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Matthew M. Endo 286 267 173 165 130 9 677
Daniel S. Palacios 281 1.0× 254 1.0× 144 0.8× 160 1.0× 120 0.9× 7 682
Thomas M. Anderson 236 0.8× 236 0.9× 238 1.4× 155 0.9× 95 0.7× 11 711
Alexander G. Cioffi 212 0.7× 266 1.0× 95 0.5× 151 0.9× 73 0.6× 9 626
Deborah D. Jaworski 263 0.9× 353 1.3× 149 0.9× 99 0.6× 47 0.4× 8 762
Gianpaolo Candiani 205 0.7× 313 1.2× 100 0.6× 82 0.5× 198 1.5× 11 603
Christopher S. Lunde 182 0.6× 228 0.9× 102 0.6× 78 0.5× 85 0.7× 20 664
George Aperis 340 1.2× 180 0.7× 61 0.4× 218 1.3× 57 0.4× 7 641
Nicole M. Revie 447 1.6× 181 0.7× 98 0.6× 322 2.0× 83 0.6× 8 724
Inder Jit Sud 210 0.7× 234 0.9× 70 0.4× 182 1.1× 124 1.0× 17 669
Charles Gill 266 0.9× 328 1.2× 98 0.6× 189 1.1× 237 1.8× 22 745

Countries citing papers authored by Matthew M. Endo

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. Endo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew M. Endo

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