C.J. Daly

903 citations
40 papers · 771 · h-index 16

Impact in

Papers in

C.J. Daly

40 papers receiving 737 citations

Peers

C.J. Daly
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 219
  • Physiology 235
  • Cardiology and Cardiovascular Medicine 153
  • Molecular Biology 470
  • Biochemistry 43
Replace Chide Han with:
Chide Han China
Pierre Demenge France
S. Heisler Canada
Manoj C. Rodrigo United States
Richard P. Burt United Kingdom
Hitomi Shinoura Japan
Toshio Ohnuki Japan
John Lesnick United States
I Muramatsu Japan
Donald V. Daniels United States
C.J. Daly relative to Chide Han China Chide Han's profile →
Citations per field
00.5×4.5×
Chide Han · 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 199693
2 199590
3 200275
4 201446
5 200541
6 198839
7 201737
8 199033
9 200533
10 199225
11 198824
12 199922
13 200520
14 195420
15 198819
16 198819
17 199114
18 200614
19 200513
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 771 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Nitric Oxide and Endothelin Effects (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuropeptides and Animal Physiology (5 papers), Neuroendocrine regulation and behavior (4 papers), Pharmacological Effects and Assays (3 papers), Pain Mechanisms and Treatments (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (219 citations), Physiology (235 citations), Cardiology and Cardiovascular Medicine (153 citations), Molecular Biology (470 citations) and Biochemistry (43 citations). C.J. Daly has collaborated with scholars based in United Kingdom, Czechia and United States. Frequent co-authors include J.C. McGrath, V.G. Wilson, Silvia M. Arribas, J.M. Bulloch, William Dunn, Melissa McBride, Zeeshan Ali, Margaret D. Lobban, James Beattie and M C Wilson. 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, Microvascular Research and Journal of Clinical Pathology.

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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