Francesca Barbieri

1.5k citations
66 papers · 1.2k · h-index 19

Impact in

Papers in

Francesca Barbieri

65 papers receiving 1.1k citations

Peers

Francesca Barbieri
Comparison fields: 5 of 106
  • Biological Psychiatry 87
  • Neurology 239
  • Developmental Neuroscience 74
  • Pathology and Forensic Medicine 270
  • Cellular and Molecular Neuroscience 202
Replace Jop Mostert with:
Jop Mostert Netherlands
Hayrettin Tumani Germany
Dorothea Buck Germany
Warren Boling United States
Thomas Tourdias France
María I. Gaitán United States
Jacob A. Sloane United States
Bo‐Young Choe South Korea
Kevin S. King United States
Özgür Yaldizli Switzerland
Francesca Barbieri relative to Jop Mostert Netherlands Jop Mostert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Francesca Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 201297
3 201482
4 201275
5 201372
6 201560
7 200846
8 201244
9 201437
10 201335
11 200734
12 201232
13 201632
14 201729
15 201327
16 201226
17 201219
18 201419
19 201019
20 202317

About Francesca Barbieri

Francesca Barbieri is a scholar working on Rheumatology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Surgery and Molecular Biology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (9 papers), Multiple Sclerosis Research Studies (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Bone and Joint Diseases (5 papers), Neural dynamics and brain function (5 papers), Spondyloarthritis Studies and Treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Biological Psychiatry (87 citations), Neurology (239 citations), Developmental Neuroscience (74 citations), Pathology and Forensic Medicine (270 citations) and Cellular and Molecular Neuroscience (202 citations). Francesca Barbieri has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Diego Centonze, Silvia Rossi, Caterina Motta, Valeria Studer, Giorgio Bernardi, Roberto Furlan, Gianvito Martino, Valentina De Chiara, Fabio Buttari and Alessandra Bergami. Their work appears in journals such as Multiple Sclerosis Journal, Annals of the Rheumatic Diseases, Journal of Neuroscience, Neurological Sciences and World Neurosurgery.

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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