Diane Cassidy

45 total papers · 959 total citations
26 papers, 671 citations indexed

About

Diane Cassidy is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Emergency Medical Services. According to data from OpenAlex, Diane Cassidy has authored 26 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 5 papers in Emergency Medical Services. Recurrent topics in Diane Cassidy's work include Cystic Fibrosis Research Advances (13 papers), Neonatal Respiratory Health Research (9 papers) and Pediatric health and respiratory diseases (5 papers). Diane Cassidy is often cited by papers focused on Cystic Fibrosis Research Advances (13 papers), Neonatal Respiratory Health Research (9 papers) and Pediatric health and respiratory diseases (5 papers). Diane Cassidy collaborates with scholars based in United Kingdom, Italy and United States. Diane Cassidy's co-authors include Anil Mehta, Kate J. Treharne, Richard W. Bohannon, Susan Walsh, Simon Elliott, Christopher W. J. Smith, Karl Kunzelmann, Michael L.J. Ashford, David J. Harrison and Jennifer Gallagher and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Diane Cassidy

25 papers receiving 650 citations

Author Peers

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

Author						Papers	Cites
Diane Cassidy	256	228	157	80	55	26	671
Siegfried Zedler	173 0.7×	73 0.3×	189 1.2×	122 1.5×	28 0.5×	18	733
J. Robert Hatherill	152 0.6×	124 0.5×	171 1.1×	113 1.4×	28 0.5×	16	769
Mary H. Morrison	133 0.5×	99 0.4×	166 1.1×	83 1.0×	52 0.9×	24	780
Nélson Alexandre Kretzmann Filho	169 0.7×	71 0.3×	122 0.8×	140 1.8×	53 1.0×	35	703
Michael Seimetz	202 0.8×	266 1.2×	64 0.4×	191 2.4×	17 0.3×	26	647
Thyyar M. Ravindranath	104 0.4×	99 0.4×	190 1.2×	47 0.6×	40 0.7×	45	570
John G. Noel	105 0.4×	85 0.4×	108 0.7×	86 1.1×	32 0.6×	26	567
Xiao M. Pei	223 0.9×	64 0.3×	78 0.5×	93 1.2×	44 0.8×	24	676
V. M. Peterson	171 0.7×	134 0.6×	237 1.5×	66 0.8×	13 0.2×	16	759
Shan Wei	233 0.9×	48 0.2×	141 0.9×	105 1.3×	51 0.9×	48	765

Countries citing papers authored by Diane Cassidy

Since Specialization

Citations

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

Fields of papers citing papers by Diane Cassidy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Cassidy

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