F Perretti

25 papers receiving 513 citations

Peers

F Perretti
Comparison fields: 5 of 66
  • Cellular and Molecular Neuroscience 313
  • Physiology 275
  • Sensory Systems 45
  • Endocrine and Autonomic Systems 57
  • Immunology and Allergy 28
Replace P. Devillier with:
P. Devillier France
Motohiko Miura Japan
Aamir M Khawaja United States
Charles A. Rizzo United States
Anne-Marie Coelho Niger
C.D. Stretton United States
Annet B. Zuidhof Netherlands
Sergio Parra United States
Sandro Giuliani Italy
Lenka Surdenikova Slovakia
F Perretti relative to P. Devillier France P. Devillier's profile →
Citations per field
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Citations per year

Countries citing papers authored by F Perretti

Since Specialization
Citations

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

Fields of papers citing papers by F Perretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198880
2 198969
3 199453
4 199049
5 199146
6 199037
7 199335
8 198829
9 199222
10 199518
11 199317
12 198917
13 199113
14 199110
15 19957
16
The pharmacological properties of 1,4-dihydro-1-ethyl-7-phenylpyrrol (1,2-a)-pyrimidine-4-one, a new antipyretic and analgesic drug.
19876
17
Interactions between sensory neuropeptides and lipid mediators in the airways.
19934
18 19944
19 19913
20 19982

About F Perretti

F Perretti is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 530 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (8 papers), Asthma and respiratory diseases (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Respiratory and Cough-Related Research (5 papers), Neuroscience of respiration and sleep (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (313 citations), Physiology (275 citations), Sensory Systems (45 citations), Endocrine and Autonomic Systems (57 citations) and Immunology and Allergy (28 citations). F Perretti has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Stefano Manzini, Pierangelo Geppetti, Carlo Alberto Maggi, Anthony J. Coyle, Manuela Tramontana, Stefania Frilli, Paolo Santicioli, Carlo Alberto Maggi, Riccardo Patacchini and Philippe Pradelles. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Naunyn-Schmiedeberg s Archives of Pharmacology, Inflammation Research and Advances in experimental medicine and biology.

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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