Matthew M. Purdy

17 total papers · 809 total citations
10 papers, 357 citations indexed

About

Matthew M. Purdy is a scholar working on Molecular Biology, Pharmacology and Biochemistry. According to data from OpenAlex, Matthew M. Purdy has authored 10 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Biochemistry. Recurrent topics in Matthew M. Purdy's work include Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (3 papers). Matthew M. Purdy is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (3 papers). Matthew M. Purdy collaborates with scholars based in United States and Germany. Matthew M. Purdy's co-authors include Zbigniew Domiński, William F. Marzluff, Cheng Yang, Norbert O. Reich, Eric J. Wagner, Judith P. Klinman, Laura S. Koo, Paul R. Ortiz de Montellano, R. August Estabrook and Paul C. Weakliem and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Matthew M. Purdy

10 papers receiving 354 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 M. Purdy 294 48 41 21 20 10 357
Lisa M. Hochrein 285 1.0× 50 1.0× 58 1.4× 30 1.4× 13 0.7× 7 345
Jody L. Tuls 273 0.9× 28 0.6× 72 1.8× 29 1.4× 55 2.8× 6 384
Wojciech Augustyniak 241 0.8× 109 2.3× 84 2.0× 18 0.9× 10 0.5× 8 356
Linlong Xue 268 0.9× 10 0.2× 50 1.2× 19 0.9× 10 0.5× 12 351
Kip P. Conner 130 0.4× 48 1.0× 90 2.2× 25 1.2× 12 0.6× 16 335
Qiong Xing 211 0.7× 11 0.2× 32 0.8× 11 0.5× 34 1.7× 15 344
Angelo P. Consalvo 242 0.8× 39 0.8× 7 0.2× 15 0.7× 9 0.5× 13 341
Andrea A. Romeo 223 0.8× 11 0.2× 37 0.9× 14 0.7× 11 0.6× 13 349
Carlos A. Martinez 284 1.0× 19 0.4× 14 0.3× 23 1.1× 8 0.4× 10 358
Sergio D. B. Scrofani 161 0.5× 84 1.8× 15 0.4× 14 0.7× 13 0.7× 13 367

Countries citing papers authored by Matthew M. Purdy

Since Specialization
Citations

This map shows the geographic impact of Matthew M. Purdy'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. Purdy 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. Purdy more than expected).

Fields of papers citing papers by Matthew M. Purdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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