Laura Uva

1.5k citations
40 papers · 1.1k · h-index 20

Impact in

Papers in

Laura Uva

40 papers receiving 1.1k citations

Peers

Laura Uva
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 838
  • Cognitive Neuroscience 512
  • Sensory Systems 123
  • Psychiatry and Mental health 298
  • Neurology 141
Replace Vadym Gnatkovsky with:
Vadym Gnatkovsky Italy
Mala M. Shah United Kingdom
Barrie Lancaster United Kingdom
Suzanne Trottier France
Valérie Crépel France
Marta Gómez‐Gonzalo Italy
Nicholas P. Poolos United States
Lisa Topolnik Canada
Magdolna Szente Hungary
P. Johannes Helm Germany
Laura Uva relative to Vadym Gnatkovsky Italy Vadym Gnatkovsky's profile →
Citations per field
00.5×1.6×
Vadym Gnatkovsky · 1×
Citations per year

Countries citing papers authored by Laura Uva

Since Specialization
Citations

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

Fields of papers citing papers by Laura Uva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010179
2 2007106
3 200564
4 201558
5 200757
6 200251
7 201843
8 200141
9 202137
10 201236
11 200932
12 200431
13 200827
14 201027
15 200425
16 200225
17 200424
18 201322
19 201421
20 201719

About Laura Uva

Laura Uva is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Psychiatry and Mental health, Sensory Systems and Nutrition and Dietetics, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (32 papers), Neural dynamics and brain function (15 papers), Memory and Neural Mechanisms (13 papers), Epilepsy research and treatment (11 papers), Olfactory and Sensory Function Studies (8 papers), Biochemical Analysis and Sensing Techniques (4 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (838 citations), Cognitive Neuroscience (512 citations), Sensory Systems (123 citations), Psychiatry and Mental health (298 citations) and Neurology (141 citations). Laura Uva has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Marco de Curtis, Vadym Gnatkovsky, Laura Librizzi, Gerardo Biella, Massimo Avoli, Fabrice Wendling, Damir Janigro, Nicola Marchi, Giorgio Carmignoto and Marco Brondi. Their work appears in journals such as Epilepsia, Journal of Neurophysiology, Neuroscience, Epilepsy Research and Journal of Neuroscience.

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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