F. Licata

676 citations
36 papers · 589 · h-index 13

Impact in

Papers in

F. Licata

35 papers receiving 561 citations

Peers

F. Licata
Comparison fields: 5 of 76
  • Neurology 217
  • Sensory Systems 74
  • Endocrine and Autonomic Systems 89
  • Cognitive Neuroscience 194
  • Cellular and Molecular Neuroscience 174
Replace K. Matsunami with:
K. Matsunami Japan
Nancy G. Daunton United States
D. Alpini Italy
P. André Italy
Léonor Mazières France
David W. Sirkin United States
Izuru Matsuoka Japan
Maria Luisa Lucchi Italy
Robert N. Holdefer United States
Yoshitaka Yamagata Japan
F. Licata relative to K. Matsunami Japan K. Matsunami's profile →
Citations per field
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K. Matsunami · 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 1982140
2 200442
3 200438
4 199036
5 199334
6 199333
7 199330
8 200317
9 200117
10 199817
11 200815
12 199613
13 199512
14 201212
15 200012
16 199012
17 199811
18 201610
19 20049
20 19829

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 589 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), Vestibular and auditory disorders (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 Neural dynamics and brain function (3 papers). The work is most often cited by research in Neurology (217 citations), Sensory Systems (74 citations), Endocrine and Autonomic Systems (89 citations), Cognitive Neuroscience (194 citations) and Cellular and Molecular Neuroscience (174 citations). F. Licata has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Guido Li Volsi, John F. Soechting, Francesco Lacquaniti, F Santangelo, Lucia Ciranna, Francesca Santangelo, A. Messina, Lucia Malaguarnera, Lucia Malaguarnera and Rosa Imbesi. Their work appears in journals such as Neuroscience, Experimental Neurology, Experimental Brain Research, Biological Cybernetics and Journal of Vestibular Research.

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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