Matthew Crown

1.2k total citations
8 papers, 22 citations indexed

About

Matthew Crown is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Matthew Crown has authored 8 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Ecology. Recurrent topics in Matthew Crown's work include SARS-CoV-2 and COVID-19 Research (3 papers), Gut microbiota and health (3 papers) and vaccines and immunoinformatics approaches (2 papers). Matthew Crown is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Gut microbiota and health (3 papers) and vaccines and immunoinformatics approaches (2 papers). Matthew Crown collaborates with scholars based in United Kingdom, Canada and Taiwan. Matthew Crown's co-authors include Matthew Bashton, Jane Entwistle, David A. Pearce, Andrew Nelson, Ariadne Argyraki, Jonathan R. Thompson, Andrew Hursthouse, Vartul Sangal, Anil Namdeo and Rafaël Najmanovich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Acta Astronautica.

In The Last Decade

Matthew Crown

5 papers receiving 22 citations

Peers

Matthew Crown
Comparison fields: 5 of 26
  • Health, Toxicology and Mutagenesis 11
  • Molecular Biology 7
  • Pulmonary and Respiratory Medicine 6
  • Infectious Diseases 3
  • Emergency Medical Services 3
Replace Zaray Miranda-Chacón with:
Zaray Miranda-Chacón Costa Rica
K. J. Holzinger Austria
João Victor Virgílio-da-Silva Brazil
Maha Mushtaha Canada
Marey Messingschlager Germany
N. Li China
Takis Benos United States
Priyanka Rai India
I. Blakey United Kingdom
L. González-García Spain
Zaray Miranda-Chacón Costa Rica View profile →
Citations per field, relative to Matthew Crown
Matthew Crown · 1×
Citations per year, relative to Matthew Crown
Matthew Crown · 1×

Countries citing papers authored by Matthew Crown

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Crown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Crown

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Crown. A scholar is included among the top collaborators of Matthew Crown 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 Crown. Matthew Crown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 3
6 0
7 2
8 15

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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