Claudia A. McCarthy

1.0k total citations
15 papers, 812 citations indexed

About

Claudia A. McCarthy is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Claudia A. McCarthy has authored 15 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Claudia A. McCarthy's work include Renin-Angiotensin System Studies (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (4 papers). Claudia A. McCarthy is often cited by papers focused on Renin-Angiotensin System Studies (9 papers), Receptor Mechanisms and Signaling (7 papers) and Neuropeptides and Animal Physiology (4 papers). Claudia A. McCarthy collaborates with scholars based in Australia, United States and Sweden. Claudia A. McCarthy's co-authors include Robert E. Widdop, Antony Vinh, Emma S. Jones, Jennifer K. Callaway, Tracey A. Gaspari, Lachlan D. Rash, Glenn F. King, Irène R. Chassagnon, Vi Pham and T. Michael De Silva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Stroke.

In The Last Decade

Claudia A. McCarthy

15 papers receiving 807 citations

Peers

Claudia A. McCarthy
Comparison fields: 5 of 84
  • Molecular Biology 433
  • Cardiology and Cardiovascular Medicine 377
  • Endocrinology, Diabetes and Metabolism 172
  • Cellular and Molecular Neuroscience 147
  • Neurology 108
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Citations per field, relative to Claudia A. McCarthy
Claudia A. McCarthy · 1×
Citations per year, relative to Claudia A. McCarthy
Claudia A. McCarthy · 1×

Countries citing papers authored by Claudia A. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Claudia A. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia A. McCarthy. 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 Claudia A. McCarthy. The network helps show where Claudia A. McCarthy may publish in the future.

Co-authorship network of co-authors of Claudia A. McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia A. McCarthy. A scholar is included among the top collaborators of Claudia A. McCarthy 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 Claudia A. McCarthy. Claudia A. McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 9
3 16
4 166
5 48
6 68
7 15
8 66
9 31
10 46
11 1
12 51
13 1
14 95
15 197

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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2026