Francesca Beccaria

1.9k citations
34 papers · 788 · h-index 18

Impact in

Papers in

Francesca Beccaria

33 papers receiving 760 citations

Peers

Francesca Beccaria
Comparison fields: 5 of 62
  • Psychiatry and Mental health 527
  • Cellular and Molecular Neuroscience 262
  • Pediatrics, Perinatology and Child Health 282
  • Clinical Biochemistry 91
  • Rheumatology 153
Replace Gaetano Tortorella with:
Gaetano Tortorella Italy
Joseph Roger France
Masakazu Seino Japan
Alfredo D’Aniello Italy
Isabelle An-Gourfinkel France
Desirée Rosa Cavalcanti Brazil
Francesc Sanmartí Spain
Amy McTague United Kingdom
H Régis France
C Dravet Italy
Francesca Beccaria relative to Gaetano Tortorella Italy Gaetano Tortorella's profile →
Citations per field
00.5×2.6×
Gaetano Tortorella · 1×
Citations per year

Countries citing papers authored by Francesca Beccaria

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Beccaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 199973
3 201758
4 201357
5 200644
6 200938
7 201235
8 199835
9 200933
10 200831
11 201227
12 200127
13 200026
14 200623
15 199923
16 200522
17 199920
18 200918
19 201016
20 201715

About Francesca Beccaria

Francesca Beccaria is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Rheumatology, Neurology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 788 indexed citations. Recurring topics across this work include Epilepsy research and treatment (24 papers), Neonatal and fetal brain pathology (8 papers), Glycogen Storage Diseases and Myoclonus (8 papers), Pharmacological Effects and Toxicity Studies (7 papers), Neurological disorders and treatments (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Metabolism and Genetic Disorders (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Psychiatry and Mental health (527 citations), Cellular and Molecular Neuroscience (262 citations), Pediatrics, Perinatology and Child Health (282 citations), Clinical Biochemistry (91 citations) and Rheumatology (153 citations). Francesca Beccaria has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giuseppe Capovilla, Pierangelo Veggiotti, C. A. Tassinari, Pasquale Striano, Giovanni Lanzi, Renzo Guerrini, Antonio Gambardella, Antonino Romeo, Guido Rubboli and Stefano Meletti. Their work appears in journals such as Epilepsia, Epileptic Disorders, Brain and Development, Neurology and Child s Nervous System.

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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