Nancy T. Pirro

42 total papers · 1.0k total citations
21 papers, 797 citations indexed

About

Nancy T. Pirro is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Nancy T. Pirro has authored 21 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Nancy T. Pirro's work include Renin-Angiotensin System Studies (15 papers), Hormonal Regulation and Hypertension (8 papers) and Receptor Mechanisms and Signaling (7 papers). Nancy T. Pirro is often cited by papers focused on Renin-Angiotensin System Studies (15 papers), Hormonal Regulation and Hypertension (8 papers) and Receptor Mechanisms and Signaling (7 papers). Nancy T. Pirro collaborates with scholars based in United States and Egypt. Nancy T. Pirro's co-authors include Mark C. Chappell, Carlos M. Ferrario, Debra I. Diz, Karl D. Pendergrass, James C. Rose, Brian Westwood, K. Bridget Brosnihan, TanYa M. Gwathmey, Hossam A. Shaltout and Patricia E. Gallagher and has published in prestigious journals such as The FASEB Journal, Hypertension and Journal of Neurochemistry.

In The Last Decade

Nancy T. Pirro

20 papers receiving 782 citations

Author Peers

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

Author Last Decade Papers Cites
Nancy T. Pirro 596 406 246 170 87 21 797
Duncan J. Campbell 599 1.0× 385 0.9× 338 1.4× 97 0.6× 64 0.7× 16 951
Tadashi Inagami 751 1.3× 443 1.1× 549 2.2× 123 0.7× 88 1.0× 13 1.0k
Rodrigo A. Fraga-Silva 644 1.1× 337 0.8× 297 1.2× 129 0.8× 80 0.9× 16 1.0k
Ann-Maree Duncan 698 1.2× 361 0.9× 275 1.1× 130 0.8× 284 3.3× 13 1.0k
Shetal H. Padia 664 1.1× 543 1.3× 393 1.6× 127 0.7× 41 0.5× 21 943
O. Costerousse 675 1.1× 418 1.0× 183 0.7× 163 1.0× 106 1.2× 16 906
Nobuo Nyui 639 1.1× 376 0.9× 379 1.5× 114 0.7× 25 0.3× 28 1.0k
Danny Guo 551 0.9× 258 0.6× 239 1.0× 147 0.9× 70 0.8× 19 976
Yuji Tatara 603 1.0× 260 0.6× 170 0.7× 117 0.7× 44 0.5× 23 980
Allan F. Moore 393 0.7× 360 0.9× 328 1.3× 72 0.4× 48 0.6× 16 737

Countries citing papers authored by Nancy T. Pirro

Since Specialization
Citations

This map shows the geographic impact of Nancy T. Pirro'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 Nancy T. Pirro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy T. Pirro more than expected).

Fields of papers citing papers by Nancy T. Pirro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy T. Pirro. 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 Nancy T. Pirro. The network helps show where Nancy T. Pirro may publish in the future.

Co-authorship network of co-authors of Nancy T. Pirro

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy T. Pirro. A scholar is included among the top collaborators of Nancy T. Pirro 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 Nancy T. Pirro. Nancy T. Pirro 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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