Alexandra McCarron

51 total papers · 588 total citations
29 papers, 415 citations indexed

About

Alexandra McCarron is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Alexandra McCarron has authored 29 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Alexandra McCarron's work include Cystic Fibrosis Research Advances (14 papers), Neonatal Respiratory Health Research (12 papers) and Virus-based gene therapy research (8 papers). Alexandra McCarron is often cited by papers focused on Cystic Fibrosis Research Advances (14 papers), Neonatal Respiratory Health Research (12 papers) and Virus-based gene therapy research (8 papers). Alexandra McCarron collaborates with scholars based in Australia, Germany and United Kingdom. Alexandra McCarron's co-authors include Martin Donnelley, David Parsons, Chantelle McIntyre, Patricia Cmielewski, Nathan Rout-Pitt, Juliette Delhove, Emma Knight, Nigel Farrow, Kaye S. Morgan and Rodney C. Gilmore and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and American Journal Of Pathology.

In The Last Decade

Alexandra McCarron

28 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Alexandra McCarron	209	188	137	54	48	29	415
Chiung‐Yao Fang	164 0.8×	70 0.4×	64 0.5×	169 3.1×	36 0.8×	37	433
Alessandra Rossi	181 0.9×	33 0.2×	74 0.5×	45 0.8×	32 0.7×	30	488
Dorota Słonina	137 0.7×	114 0.6×	28 0.2×	143 2.6×	16 0.3×	35	447
S. Robert Adamson	228 1.1×	37 0.2×	81 0.6×	31 0.6×	71 1.5×	21	455
P. Hösli	183 0.9×	81 0.4×	55 0.4×	19 0.4×	23 0.5×	44	419
Yaohui Li	108 0.5×	74 0.4×	21 0.2×	41 0.8×	29 0.6×	57	437
Saw-See Hong	247 1.2×	109 0.6×	103 0.8×	85 1.6×	56 1.2×	17	476
Patrik Dahlén	201 1.0×	53 0.3×	80 0.6×	17 0.3×	86 1.8×	16	430
John J. Brewington	80 0.4×	283 1.5×	21 0.2×	14 0.3×	37 0.8×	28	423
Silke Hedtfeld	192 0.9×	226 1.2×	49 0.4×	8 0.1×	29 0.6×	23	379

Countries citing papers authored by Alexandra McCarron

Since Specialization

Citations

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

Fields of papers citing papers by Alexandra McCarron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra McCarron

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