P. Mainardi

36 papers receiving 597 citations

Peers

P. Mainardi
Comparison fields: 5 of 75
  • Psychiatry and Mental health 240
  • Biological Psychiatry 37
  • Cellular and Molecular Neuroscience 264
  • Pediatrics, Perinatology and Child Health 120
  • Physiology 121
Replace Valentina Nesci with:
Valentina Nesci Italy
Elizabeth M. Sajdel-Sulkowska United States
Nathalie Dourmap France
Camila L. Ferreira Brazil
Heather Prince United Kingdom
О. Е. Зубарева Russia
Mohammad Reza Palizvan Iran
Pishan Chang United Kingdom
Mathieu Di Miceli United Kingdom
Edemilson Mariot Brazil
P. Mainardi relative to Valentina Nesci Italy Valentina Nesci's profile →
Citations per field
00.5×2.8×
Valentina Nesci · 1×
Citations per year

Countries citing papers authored by P. Mainardi

Since Specialization
Citations

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

Fields of papers citing papers by P. Mainardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Mainardi, 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 P. Mainardi Line = papers co-authored together P. Mainardi 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 1995177
2 201966
3 202149
4 201139
5 200638
6 201232
7 200724
8 198623
9 198922
10 202416
11 198515
12 199013
13 198511
14 199310
15 19888
16 19908
17 19977
18 19926
19 20076
20 19925

About P. Mainardi

P. Mainardi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Psychiatry and Mental health, Physiology and Pediatrics, Perinatology and Child Health, having authored 36 papers that have together received 610 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Epilepsy research and treatment (10 papers), Lipid Membrane Structure and Behavior (8 papers), Pharmacological Effects and Toxicity Studies (6 papers), Biochemical effects in animals (4 papers), Diet and metabolism studies (4 papers), Metabolism and Genetic Disorders (3 papers) and Electroconvulsive Therapy Studies (3 papers). The work is most often cited by research in Psychiatry and Mental health (240 citations), Biological Psychiatry (37 citations), Cellular and Molecular Neuroscience (264 citations), Pediatrics, Perinatology and Child Health (120 citations) and Physiology (121 citations). P. Mainardi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include C. Albano, E Favale, Gianluigi Lunardi, Rita Citraro, Giovambattista De Sarro, Emilio Russo, A. Cupello, Pasquale Striano, Andrew Constanti and Valentina Nesci. Their work appears in journals such as Neurochemical Research, Experimental Neurology, Epilepsy Research, Neurology and Journal of Pharmacology and Experimental Therapeutics.

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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