Matthew Hurley

88 total papers · 1.6k total citations
48 papers, 887 citations indexed

About

Matthew Hurley is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Matthew Hurley has authored 48 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 11 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Matthew Hurley's work include Cystic Fibrosis Research Advances (22 papers), Neonatal Respiratory Health Research (10 papers) and Bacterial biofilms and quorum sensing (9 papers). Matthew Hurley is often cited by papers focused on Cystic Fibrosis Research Advances (22 papers), Neonatal Respiratory Health Research (10 papers) and Bacterial biofilms and quorum sensing (9 papers). Matthew Hurley collaborates with scholars based in United Kingdom, United States and Switzerland. Matthew Hurley's co-authors include Alan R Smyth, Andrew Prayle, Miguel Cámara, Jayesh Bhatt, Tricia M. McKeever, Andrew Fogarty, David Lo, Marianne S. Muhlebach, Patrick A. Flume and Michael Sattler and has published in prestigious journals such as Angewandte Chemie International Edition, Cochrane Database of Systematic Reviews and European Respiratory Journal.

In The Last Decade

Matthew Hurley

42 papers receiving 867 citations

Author Peers

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

Author						Papers	Cites
Matthew Hurley	357	317	119	115	113	48	887
Jonathan E. Kohler	100 0.3×	280 0.9×	105 0.9×	94 0.8×	8 0.1×	59	1.0k
Andrew Prayle	310 0.9×	116 0.4×	118 1.0×	50 0.4×	115 1.0×	41	711
Santi Maurizio Raineri	252 0.7×	96 0.3×	81 0.7×	148 1.3×	25 0.2×	47	982
Christopher McCoy	36 0.1×	186 0.6×	148 1.2×	136 1.2×	34 0.3×	43	959
Samuel Lipworth	245 0.7×	159 0.5×	73 0.6×	166 1.4×	4 0.0×	31	877
Tobias Schürholz	83 0.2×	154 0.5×	49 0.4×	19 0.2×	19 0.2×	43	727
Ronan McMullan	57 0.2×	140 0.4×	128 1.1×	71 0.6×	6 0.1×	54	1.0k
Leonard Sacks	81 0.2×	131 0.4×	72 0.6×	34 0.3×	24 0.2×	30	960
Raymond C. Bartlett	49 0.1×	123 0.4×	109 0.9×	75 0.7×	54 0.5×	57	940
Micaela Gal	135 0.4×	138 0.4×	169 1.4×	66 0.6×	5 0.0×	40	995

Countries citing papers authored by Matthew Hurley

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Hurley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Hurley

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