Benedetta Perrone

401 citations
16 papers · 254 · h-index 10

Impact in

Papers in

    • Amyotrophic Lateral Sclerosis Research 6
    • Neurological diseases and metabolism 2
    • Prion Diseases and Protein Misfolding 2

Benedetta Perrone

15 papers receiving 248 citations

Peers

Benedetta Perrone
Comparison fields: 5 of 60
  • Tourism, Leisure and Hospitality Management 13
  • Genetics 50
  • Neurology 68
  • Food Science 82
  • Biochemistry 23
Replace Moran Guo with:
Moran Guo China
Junning Wang United States
Zhanjun Wang China
Yixuan Wang China
Camila de Campos Velho Gewehr Brazil
Qiurui Yang China
Núria Vall‐llaura Spain
Françoise Jabès France
Kyoung Shin Yoo South Korea
Hirofumi Kurata Japan
Benedetta Perrone relative to Moran Guo China Moran Guo's profile →
Citations per field
00.5×3.4×
Moran Guo · 1×
Citations per year

Countries citing papers authored by Benedetta Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201153
2 201935
3 201332
4 201831
5 202019
6 202017
7 202213
8 202312
9 202111
10 201510
11 20225
12 20215
13 20195
14 20244
15 20232
16 20250

About Benedetta Perrone

Benedetta Perrone is a scholar working on Neurology, Molecular Biology, Genetics, Genetics and Plant Science, having authored 16 papers that have together received 254 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (4 papers), Horticultural and Viticultural Research (3 papers), Fermentation and Sensory Analysis (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Prion Diseases and Protein Misfolding (2 papers), Neurological diseases and metabolism (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Tourism, Leisure and Hospitality Management (13 citations), Genetics (50 citations), Neurology (68 citations), Food Science (82 citations) and Biochemistry (23 citations). Benedetta Perrone has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include F. L. Conforti, Luca Rollè, Simone Giacosa, Sebastiano Cavallaro, Sebastiano Andò, Simone Vincenzi, C Ungaro, Fabrizio Torchio, Manuela Giordano and T. Sprovieri. Their work appears in journals such as Genes, Journal of Translational Medicine, International Journal of Food Microbiology, Plants and Expert Review of Molecular Diagnostics.

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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