Matthew Blakiston

26 total papers · 668 total citations
18 papers, 148 citations indexed

About

Matthew Blakiston is a scholar working on Epidemiology, Infectious Diseases and Clinical Biochemistry. According to data from OpenAlex, Matthew Blakiston has authored 18 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Infectious Diseases and 3 papers in Clinical Biochemistry. Recurrent topics in Matthew Blakiston's work include Respiratory viral infections research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Matthew Blakiston is often cited by papers focused on Respiratory viral infections research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Tuberculosis Research and Epidemiology (3 papers). Matthew Blakiston collaborates with scholars based in New Zealand, United Kingdom and Nigeria. Matthew Blakiston's co-authors include Joshua T. Freeman, Susan C. Morpeth, Susan Taylor, Conroy Wong, Sally Roberts, Luís E. Cuevas, Lovett Lawson, Olanrewaju Oladimeji, Joshua Obasanya and Nikhil Sapre and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and PLoS neglected tropical diseases.

In The Last Decade

Matthew Blakiston

15 papers receiving 141 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 Blakiston 68 43 32 22 20 18 148
Sophie Mahy 46 0.7× 51 1.2× 18 0.6× 15 0.7× 12 0.6× 16 183
Sae‐Rom Chae 141 2.1× 59 1.4× 13 0.4× 19 0.9× 24 1.2× 12 250
David Luque-Paz 61 0.9× 56 1.3× 19 0.6× 50 2.3× 25 1.3× 28 228
Gonzalo Segrelles‐Calvo 148 2.2× 77 1.8× 12 0.4× 52 2.4× 5 0.3× 20 249
Elías Eyþórsson 84 1.2× 90 2.1× 20 0.6× 39 1.8× 15 0.8× 20 253
Erwin Ho 69 1.0× 79 1.8× 27 0.8× 26 1.2× 14 0.7× 20 258
Khaled Alshabani 67 1.0× 70 1.6× 28 0.9× 91 4.1× 33 1.6× 17 201
Hugo Guillermo Ternavasio‐de la Vega 59 0.9× 80 1.9× 7 0.2× 25 1.1× 26 1.3× 16 200
Yasuteru Sugino 30 0.4× 28 0.7× 19 0.6× 65 3.0× 14 0.7× 21 140
John Midturi 54 0.8× 60 1.4× 7 0.2× 33 1.5× 25 1.3× 16 135

Countries citing papers authored by Matthew Blakiston

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Blakiston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Blakiston

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