D. Cambridge

1.1k citations
28 papers · 873 indexed · h-index 13

D. Cambridge

27 papers receiving 806 citations

Peers

D. Cambridge
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 260
  • Physiology 249
  • Biochemistry 61
  • Behavioral Neuroscience 25
  • Cardiology and Cardiovascular Medicine 152
Replace F Lefèvre-Borg with:
F Lefèvre-Borg France
Barry Kenny United Kingdom
J Velly France
R Hahn United States
N B Shepperson United Kingdom
Walter Osswald Portugal
Gareth W. John France
T J Verbeuren Belgium
Elena Poggesi Italy
J M Sneddon United Kingdom
D. Cambridge relative to F Lefèvre-Borg France F Lefèvre-Borg's profile →
Citations per field
00.5×3.3×
F Lefèvre-Borg · 1×
Citations per year

Countries citing papers authored by D. Cambridge

Since Specialization
Citations

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

Fields of papers citing papers by D. Cambridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200137
2 199811
3 199868
4 199531
5 199518
6 19936
7 19924
8 19923
9 19927
10 19904
11 199035
12 19904
13 198810
14 19883
15 198758
16 19872
17 198712
18 1981249
19
Prazosin, a selective antagonist of post-synaptic alpha-adrenoceptors [proceedings].
1977116
20
Intrarenal distribution of blood flow in the rat kidney, measured by 85-Kr washout and the effect of angiotensin II infusion.
19751

About D. Cambridge

D. Cambridge is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology, Cellular and Molecular Neuroscience, Emergency Medicine and Nephrology, having authored 28 papers that have together received 873 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Renin-Angiotensin System Studies (7 papers), Neuropeptides and Animal Physiology (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Migraine and Headache Studies (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Synthesis of heterocyclic compounds (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (260 citations), Physiology (249 citations), Biochemistry (61 citations), Behavioral Neuroscience (25 citations) and Cardiology and Cardiovascular Medicine (152 citations). D. Cambridge has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include R. Massingham, Michael Davey, Graeme R. Martin, Salvador Moncada, Daryl D. Rees, P. Leff, G. Allan, Heather Giles, Robert C. Glen and V.P. Gerskowitch. Their work appears in journals such as British Journal of Pharmacology, Archiv der Pharmazie, European Journal of Pharmacology, Cardiovascular Research and Journal of Medicinal Chemistry.

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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