G.Peter Aldred

725 citations
18 papers · 627 · h-index 12

Impact in

Papers in

G.Peter Aldred

18 papers receiving 616 citations

Peers

G.Peter Aldred
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 409
  • Endocrine and Autonomic Systems 87
  • Endocrinology, Diabetes and Metabolism 139
  • Behavioral Neuroscience 20
  • Social Psychology 105
Replace M Ježová with:
M Ježová Slovakia
Vojtěch Škop Czechia
Yuta Kobayashi Japan
L. Bukowiecki Canada
Fiona J. Dowell United Kingdom
Chen-Chun Ou Taiwan
Hisao Tanase Japan
AKIO KANETO Japan
E Murakami Japan
D. Porte United States
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Citations per field
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M Ježová · 1×
Citations per year

Countries citing papers authored by G.Peter Aldred

Since Specialization
Citations

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

Fields of papers citing papers by G.Peter Aldred

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.Peter Aldred. 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 G.Peter Aldred. The network helps show where G.Peter Aldred may publish in the future.

Co-authors

The 25 scholars most cited alongside G.Peter Aldred, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G.Peter Aldred Line = papers co-authored together G.Peter Aldred links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1998198
2 199967
3 199365
4 199658
5 200751
6 199843
7 199636
8 199525
9 199419
10 199214
11 199612
12 199511
13 199911
14 19996
15 19995
16 19903
17 19852
18 19991

About G.Peter Aldred

G.Peter Aldred is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Social Psychology and Pharmacology, having authored 18 papers that have together received 627 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (12 papers), Hormonal Regulation and Hypertension (5 papers), Ion Transport and Channel Regulation (4 papers), Neuroendocrine regulation and behavior (3 papers), Receptor Mechanisms and Signaling (3 papers), Molecular Biology Techniques and Applications (2 papers), Apelin-related biomedical research (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (409 citations), Endocrine and Autonomic Systems (87 citations), Endocrinology, Diabetes and Metabolism (139 citations), Behavioral Neuroscience (20 citations) and Social Psychology (105 citations). G.Peter Aldred has collaborated with scholars based in Australia, Germany and Italy. Frequent co-authors include Siew Yeen Chai, Ingrid Moeller, Jia L. Zhuo, F. A. O. Mendelsohn, Andrew M. Allen, Trisha A. Jenkins, Frederick A.O. Mendelsohn, P. Harris, Daine Alcorn and Christine Maric. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Regulatory Peptides, Journal of Molecular Endocrinology, American Journal of Physiology-Renal Physiology and Journal of Histochemistry & Cytochemistry.

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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