Pasquale Picone

86 papers receiving 3.0k citations

Peers

Pasquale Picone
Comparison fields: 5 of 134
  • Biological Psychiatry 118
  • Molecular Medicine 174
  • Biomaterials 459
  • Physiology 797
  • Neurology 256
Replace Marta Di Carlo with:
Marta Di Carlo Italy
Md. Habibur Rahman Bangladesh
Dae Youn Hwang South Korea
Faheem Hyder Pottoo Saudi Arabia
Miren Ettcheto Spain
Saurabh Bhatia India
Amanda Cano Spain
Mehran Mesgari Abbasi Iran
Rajat Sandhir India
Elizandra Braganhol Brazil
Pasquale Picone relative to Marta Di Carlo Italy Marta Di Carlo's profile →
Citations per field
00.5×1.5×
Marta Di Carlo · 1×
Citations per year

Countries citing papers authored by Pasquale Picone

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale Picone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014173
2 2009123
3 2017112
4 2020111
5 2015102
6 2015101
7 201598
8 201293
9 200982
10 201780
11 201876
12 201071
13 201161
14 202061
15 202059
16 200959
17 201759
18 200958
19 202058
20 201658

About Pasquale Picone

Pasquale Picone is a scholar working on Molecular Biology, Physiology, Biomaterials, Pharmacology and Food Science, having authored 87 papers that have together received 3.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (21 papers), Mitochondrial Function and Pathology (9 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Wound Healing and Treatments (5 papers), Polysaccharides and Plant Cell Walls (5 papers) and Long-Term Effects of COVID-19 (5 papers). The work is most often cited by research in Biological Psychiatry (118 citations), Molecular Medicine (174 citations), Biomaterials (459 citations), Physiology (797 citations) and Neurology (256 citations). Pasquale Picone has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Marta Di Carlo, Domenico Nuzzo, Daniela Giacomazza, Pier Luigi San Biagio, Luca Caruana, Flavia Mulè, Clelia Dispenza, Giovanna Montana, Rita Carrotta and Maria Antonietta Sabatino. Their work appears in journals such as International Journal of Molecular Sciences, Antioxidants, Current Nanoscience, Nutrients and Free Radical 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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