F. Cattabeni

2.2k citations
107 papers · 1.9k indexed · h-index 25

Impact in

Papers in

F. Cattabeni

104 papers receiving 1.8k citations

Peers

F. Cattabeni
Comparison fields: 5 of 135
  • Physiology 252
  • Cellular and Molecular Neuroscience 464
  • Molecular Biology 974
  • Developmental Neuroscience 57
  • Neurology 108
Replace Arsélio P. Carvalho with:
Arsélio P. Carvalho Portugal
Yuk‐Man Leung Taiwan
Norimichi Nakahata Japan
Sadaki Fujimoto Japan
Mauricio Díaz‐Muñoz Mexico
Byoung Boo Seo United States
Patrizia Debetto Italy
Hideaki Kabuto Japan
Adam L. Orr United States
Shiro Kominami Japan
F. Cattabeni relative to Arsélio P. Carvalho Portugal Arsélio P. Carvalho's profile →
Citations per field
00.5×1.5×
Arsélio P. Carvalho · 1×
Citations per year

Countries citing papers authored by F. Cattabeni

Since Specialization
Citations

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

Fields of papers citing papers by F. Cattabeni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200263
2 20019
3 199910
4
P2 receptors mediate cyclo-oxygenase 2 induction in rat astroglial cells
19981
5 1998156
6 19987
7 199752
8 19976
9 199619
10 19927
11
Prenatally induced brain lesions, cognitive impairment and protein-kinase C-dependent phosphorylation
19911
12 19904
13 19901
14 19903
15 199017
16 19899
17 198986
18 198938
19 198913
20
Dopamine and acetylcholine interactions in brain structures of mouse strains with different sensitivities to morphine.
19778

About F. Cattabeni

F. Cattabeni is a scholar working on Physiology, Cellular and Molecular Neuroscience, Cancer Research, Developmental Neuroscience and Molecular Biology, having authored 107 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Carcinogens and Genotoxicity Assessment (15 papers), DNA and Nucleic Acid Chemistry (14 papers), DNA Repair Mechanisms (10 papers), Adenosine and Purinergic Signaling (9 papers), Environmental Toxicology and Ecotoxicology (8 papers), Receptor Mechanisms and Signaling (8 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). The work is most often cited by research in Physiology (252 citations), Cellular and Molecular Neuroscience (464 citations), Molecular Biology (974 citations), Developmental Neuroscience (57 citations) and Neurology (108 citations). F. Cattabeni has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Orazio Cantoni, Piero Sestili, Giorgio Brandi, Andrea Guidarelli, Mauro Cimino, Mónica Di Luca, Maria P. Abbracchio, P Cerutti, Fabrizio Gardoni and Antonio Caputi. Their work appears in journals such as Biochemical Pharmacology, Psychopharmacology, FEBS Letters, Molecular Pharmacology and European Journal of 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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