Paul Fennessy

23 total papers · 618 total citations
13 papers, 473 citations indexed

About

Paul Fennessy is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Paul Fennessy has authored 13 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Paul Fennessy's work include Renin-Angiotensin System Studies (5 papers), Hormonal Regulation and Hypertension (3 papers) and Receptor Mechanisms and Signaling (3 papers). Paul Fennessy is often cited by papers focused on Renin-Angiotensin System Studies (5 papers), Hormonal Regulation and Hypertension (3 papers) and Receptor Mechanisms and Signaling (3 papers). Paul Fennessy collaborates with scholars based in Australia, Canada and New Zealand. Paul Fennessy's co-authors include Shin Takiuchi, Hiromi Rakugi, Koichi Moriguchi, Atsunori Okamura, Yoshihiro Yanagitani, Toshio Ogihara, J Higaki, Gordon Campbell, Julie H. Campbell and Warwick P. Anderson and has published in prestigious journals such as Journal of Applied Physiology, American Journal of Physiology-Renal Physiology and Atherosclerosis.

In The Last Decade

Paul Fennessy

13 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Paul Fennessy 235 126 105 79 68 13 473
Allison B. Lehtinen 126 0.5× 158 1.3× 106 1.0× 56 0.7× 63 0.9× 16 508
Kiyoko Ito 209 0.9× 162 1.3× 130 1.2× 92 1.2× 48 0.7× 10 448
Yusuke Tsubokou 195 0.8× 170 1.3× 194 1.8× 132 1.7× 117 1.7× 15 515
Brigitte Dautréaux 132 0.6× 233 1.8× 72 0.7× 63 0.8× 117 1.7× 17 501
B. A. J. Veldman 106 0.5× 118 0.9× 82 0.8× 112 1.4× 55 0.8× 15 483
Hirobumi Kishioka 162 0.7× 225 1.8× 74 0.7× 69 0.9× 41 0.6× 20 446
Lívia Corrêa Barroso 207 0.9× 178 1.4× 87 0.8× 51 0.6× 27 0.4× 10 512
Ling Jie Wang 150 0.6× 151 1.2× 132 1.3× 50 0.6× 73 1.1× 16 552
Yuko Tsurumi‐Ikeya 307 1.3× 97 0.8× 140 1.3× 59 0.7× 74 1.1× 19 473
Jessica DesAulniers 236 1.0× 156 1.2× 81 0.8× 76 1.0× 40 0.6× 9 506

Countries citing papers authored by Paul Fennessy

Since Specialization
Citations

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

Fields of papers citing papers by Paul Fennessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Fennessy

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