C. Maccarrone

30 papers receiving 458 citations

Peers

C. Maccarrone
Comparison fields: 5 of 61
  • Anesthesiology and Pain Medicine 86
  • Endocrine and Autonomic Systems 102
  • Cellular and Molecular Neuroscience 270
  • Behavioral Neuroscience 19
  • Physiology 99
Replace D.J. Twissell with:
D.J. Twissell United Kingdom
Robert B. Raffa United States
E. L. Phelan New Zealand
P. R. Saxena Netherlands
R. J. NAYLOR United Kingdom
Hj. Teschemacher Germany
Svetislav K. Vanov United States
Vlasta K. Zbuzek United States
Kerstin Brodin Sweden
K. Spiegel United States
C. Maccarrone relative to D.J. Twissell United Kingdom D.J. Twissell's profile →
Citations per field
00.5×4.6×
D.J. Twissell · 1×
Citations per year

Countries citing papers authored by C. Maccarrone

Since Specialization
Citations

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

Fields of papers citing papers by C. Maccarrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside C. Maccarrone, 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. Maccarrone Line = papers co-authored together C. Maccarrone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985105
2 199758
3 198745
4 198726
5
Beta-adrenoceptor selectivity of dobutamine: in vivo and in vitro studies.
198425
6 198625
7 198424
8 199023
9 198622
10 199418
11 198615
12 198611
13 198910
14 198710
15 198610
16 19868
17 19877
18 19875
19 19855
20 19845

About C. Maccarrone

C. Maccarrone is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Surgery and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 480 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (15 papers), Regulation of Appetite and Obesity (7 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Pharmacological Effects and Assays (4 papers), Veterinary Pharmacology and Anesthesia (3 papers), Neuroendocrine regulation and behavior (3 papers) and Analytical Methods in Pharmaceuticals (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (86 citations), Endocrine and Autonomic Systems (102 citations), Cellular and Molecular Neuroscience (270 citations), Behavioral Neuroscience (19 citations) and Physiology (99 citations). C. Maccarrone has collaborated with scholars based in Australia and United States. Frequent co-authors include Bevyn Jarrott, Stephen J. Lewis, E. L. Conway, C. Raper, Errol Malta, William J. Louis, Philip M. Beart, William Tester, Robert O. Kerr and Peter Hodsman. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Clinical and Experimental Pharmacology and Physiology, Journal of Hypertension, Brain Research and Journal of Pharmacy and Pharmacology.

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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