F. Licata

673 citations
36 papers · 547 · h-index 13

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 18
    • Neurotransmitter Receptor Influence on Behavior 4
    • Neurobiology and Insect Physiology Research 3
    • Vestibular and auditory disorders 18

F. Licata

34 papers receiving 526 citations

Peers

F. Licata
Comparison fields: 5 of 79
  • Neurology 198
  • Sensory Systems 72
  • Endocrine and Autonomic Systems 79
  • Cognitive Neuroscience 178
  • Cellular and Molecular Neuroscience 163
Replace I. Aiello with:
I. Aiello Italy
K. Matsunami Japan
Nancy G. Daunton United States
P. André Italy
D. Alpini Italy
D.S. Rushmer United States
Martha Anne Clendenin United States
Maria Luisa Lucchi Italy
Giuseppe Caporaso Italy
Tohru Ohgaki Japan
F. Licata relative to I. Aiello Italy I. Aiello's profile →
Citations per field
00.5×1.5×1.9×
I. Aiello · 1×
Citations per year

Countries citing papers authored by F. Licata

Since Specialization
Citations

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

Fields of papers citing papers by F. Licata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982133
2 200440
3 200438
4 199035
5 199332
6 199330
7 199324
8 200116
9 199814
10 200814
11 200312
12 200012
13 199612
14 199512
15 199811
16 201610
17 199010
18 20129
19 20049
20 19828

About F. Licata

F. Licata is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Molecular Biology and Sensory Systems, having authored 36 papers that have together received 547 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (18 papers), Neuroscience and Neuropharmacology Research (18 papers), Neuroscience of respiration and sleep (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Sleep and Wakefulness Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Olfactory and Sensory Function Studies (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Neurology (198 citations), Sensory Systems (72 citations), Endocrine and Autonomic Systems (79 citations), Cognitive Neuroscience (178 citations) and Cellular and Molecular Neuroscience (163 citations). F. Licata has collaborated with scholars based in Italy, Israel and Spain. Frequent co-authors include Guido Li Volsi, Francesco Lacquaniti, John F. Soechting, F Santangelo, Lucia Ciranna, Francesca Santangelo, A. Messina, Fabio D’Amico, Lucia Malaguarnera and Lucia Malaguarnera. Their work appears in journals such as Neuroscience, Experimental Neurology, Experimental Brain Research, Biological Cybernetics and Journal of Cellular Biochemistry.

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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