Matthew Mahoney

32 total papers · 1.3k total citations
17 papers, 819 citations indexed

About

Matthew Mahoney is a scholar working on Molecular Biology, Organic Chemistry and Neurology. According to data from OpenAlex, Matthew Mahoney has authored 17 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Neurology. Recurrent topics in Matthew Mahoney's work include Synthesis and biological activity (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Matthew Mahoney is often cited by papers focused on Synthesis and biological activity (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Alzheimer's disease research and treatments (2 papers). Matthew Mahoney collaborates with scholars based in United States, India and Cameroon. Matthew Mahoney's co-authors include Marvin J. Meyers, David R. Anderson, David B. Reitz, William F. Vernier, Ravi G. Kurumbail, Gennadiy Poda, Nicole Caspers, Robert J. Mourey, Nicole Scott‐Hewitt and Beth Stevens and has published in prestigious journals such as Cell, The EMBO Journal and Journal of Virology.

In The Last Decade

Matthew Mahoney

15 papers receiving 804 citations

Hit Papers

Local externalization of ... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Matthew Mahoney 406 226 219 129 103 17 819
Mitsuyoshi Ninomiya 264 0.7× 319 1.4× 58 0.3× 119 0.9× 137 1.3× 20 810
Tinh N. Luong 631 1.6× 79 0.3× 173 0.8× 48 0.4× 72 0.7× 14 1.0k
Junying Zheng 326 0.8× 101 0.4× 111 0.5× 96 0.7× 50 0.5× 26 815
Svetlana Belyanskaya 465 1.1× 223 1.0× 186 0.8× 348 2.7× 71 0.7× 13 993
Clare A. Jones 262 0.6× 231 1.0× 39 0.2× 188 1.5× 85 0.8× 15 767
Katharina Mertsch 244 0.6× 228 1.0× 70 0.3× 40 0.3× 164 1.6× 22 757
Guangrong Qin 396 1.0× 401 1.8× 41 0.2× 258 2.0× 57 0.6× 29 972
Lorraine Morlock 579 1.4× 50 0.2× 93 0.4× 79 0.6× 148 1.4× 18 1.0k
Henri Mattes 504 1.2× 47 0.2× 247 1.1× 101 0.8× 60 0.6× 29 912
Rackele Ferreira do Amaral 407 1.0× 340 1.5× 30 0.1× 178 1.4× 109 1.1× 13 988

Countries citing papers authored by Matthew Mahoney

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Mahoney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Mahoney

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