C.J. Daly

900 citations
40 papers · 760 · h-index 17

Impact in

Papers in

C.J. Daly

40 papers receiving 730 citations

Peers

C.J. Daly
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 242
  • Physiology 256
  • Cardiology and Cardiovascular Medicine 161
  • Molecular Biology 483
  • Endocrine and Autonomic Systems 41
Replace Pierre Demenge with:
Pierre Demenge France
Manoj C. Rodrigo United States
Hitomi Shinoura Japan
Sylvain Foucart Canada
S. Heisler Canada
John Lesnick United States
Patricia A. Stevens United Kingdom
Kari M. Brown United States
Wolfram Gaida Germany
C.J. Daly relative to Pierre Demenge France Pierre Demenge's profile →
Citations per field
00.5×
Pierre Demenge · 1×
Citations per year

Countries citing papers authored by C.J. Daly

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.J. Daly. 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 C.J. Daly. The network helps show where C.J. Daly may publish in the future.

Co-authors

The 25 scholars most cited alongside C.J. Daly, 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 C.J. Daly Line = papers co-authored together C.J. Daly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199687
2 199584
3 200268
4 201446
5 200540
6 198839
7 201735
8 200532
9 199232
10 199031
11 198824
12 199223
13 199921
14 198819
15 200519
16 198819
17 195418
18 200614
19 199114
20 199112

About C.J. Daly

C.J. Daly is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cardiology and Cardiovascular Medicine and Social Psychology, having authored 40 papers that have together received 760 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (5 papers), Nitric Oxide and Endothelin Effects (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Adipose Tissue and Metabolism (4 papers), Neuroendocrine regulation and behavior (4 papers), Urinary Bladder and Prostate Research (3 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (242 citations), Physiology (256 citations), Cardiology and Cardiovascular Medicine (161 citations), Molecular Biology (483 citations) and Endocrine and Autonomic Systems (41 citations). C.J. Daly has collaborated with scholars based in United Kingdom, Czechia and Japan. Frequent co-authors include J.C. McGrath, V.G. Wilson, J.M. Bulloch, Silvia M. Arribas, William Dunn, Melissa McBride, Zeeshan Ali, Ailsa M. Campbell, L Pooley and John D. Pediani. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Annals of the New York Academy of Sciences, Journal of Hypertension and Cardiovascular Research.

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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