Matthew Brown

55 total papers · 2.6k total citations
24 papers, 610 citations indexed

About

Matthew Brown is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, Matthew Brown has authored 24 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Matthew Brown's work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Genomics and Rare Diseases (2 papers). Matthew Brown is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Genomics and Rare Diseases (2 papers). Matthew Brown collaborates with scholars based in United States, United Kingdom and Australia. Matthew Brown's co-authors include Steven O’Reilly, San Kiang, Benjamin J. Glasser, Johannes Khinast, Kevin P. Girard, Azzeddine Lekhal, R M Norris, Harvey D. White, Miho Takayama and Judith A. Whitworth and has published in prestigious journals such as Journal of Biological Chemistry, Nature reviews. Immunology and PLoS ONE.

In The Last Decade

Matthew Brown

24 papers receiving 600 citations

Author Peers

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

Author						Papers	Cites
Matthew Brown	132	129	103	93	91	24	610
Katsuhiro Kinoshita	95 0.7×	50 0.4×	55 0.5×	18 0.2×	25 0.3×	39	630
Yong Beom Kim	44 0.3×	35 0.3×	32 0.3×	15 0.2×	65 0.7×	43	568
Hanqing Liu	118 0.9×	19 0.1×	27 0.3×	65 0.7×	6 0.1×	47	681
Y. Ito	119 0.9×	60 0.5×	29 0.3×	22 0.2×	3 0.0×	39	663
Gordana Žauhar	60 0.5×	28 0.2×	65 0.6×	12 0.1×	5 0.1×	37	497
C. Mittermayer	41 0.3×	34 0.3×	17 0.2×	17 0.2×	7 0.1×	34	554
Chantal Lefebvre	72 0.5×	56 0.4×	250 2.4×	19 0.2×	6 0.1×	32	677
Qianwen Zhang	141 1.1×	11 0.1×	43 0.4×	21 0.2×	4 0.0×	51	590
Quan Li	76 0.6×	44 0.3×	71 0.7×	88 0.9×		45	595
Daniel L. Larson	25 0.2×	45 0.3×	108 1.0×	25 0.3×	5 0.1×	21	501

Countries citing papers authored by Matthew Brown

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Brown

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