Matthew Parker

90 total papers · 17.5k total citations
23 papers, 1.0k citations indexed

About

Matthew Parker is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Matthew Parker has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Matthew Parker's work include SARS-CoV-2 and COVID-19 Research (6 papers), Respiratory viral infections research (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Matthew Parker is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Respiratory viral infections research (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Matthew Parker collaborates with scholars based in United States, United Kingdom and Australia. Matthew Parker's co-authors include Jinghui Zhang, Randall Reves, Lei Wei, Annelise G. Snyder, Naomi H. Philip, Alan M. Copenhaver, Sunny Shin, Erin E. Zwack, Louise Fitzgerald and Patrick Fitzgerald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Matthew Parker

23 papers receiving 1.0k 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 Parker 442 284 211 194 153 23 1.0k
Janice A. Williams 358 0.8× 186 0.7× 236 1.1× 176 0.9× 126 0.8× 28 1.1k
Liang‐I Kang 300 0.7× 459 1.6× 184 0.9× 145 0.7× 325 2.1× 28 1.2k
S Santambrogio 305 0.7× 310 1.1× 142 0.7× 75 0.4× 102 0.7× 36 1.2k
Torsten Giesemann 442 1.0× 547 1.9× 137 0.6× 124 0.6× 300 2.0× 19 1.1k
Michael P. Goheen 238 0.5× 135 0.5× 251 1.2× 323 1.7× 102 0.7× 40 1.1k
Patricia J. Simpson‐Haidaris 291 0.7× 179 0.6× 270 1.3× 100 0.5× 156 1.0× 38 1.2k
Xiaoyu Luo 280 0.6× 319 1.1× 170 0.8× 64 0.3× 193 1.3× 26 928
Joe F. Lau 227 0.5× 212 0.7× 302 1.4× 173 0.9× 456 3.0× 28 1.0k
Radwa Sharaf 169 0.4× 217 0.8× 182 0.9× 269 1.4× 172 1.1× 29 858
Rebecca A. Porritt 351 0.8× 380 1.3× 158 0.7× 397 2.0× 341 2.2× 25 1.2k

Countries citing papers authored by Matthew Parker

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Parker

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