Roberta Barbizan

449 citations
13 papers · 341 indexed · h-index 11

Roberta Barbizan

13 papers receiving 336 citations

Peers

Roberta Barbizan
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 52
  • Cellular and Molecular Neuroscience 127
  • Neurology 52
  • Developmental Neuroscience 25
  • Pathology and Forensic Medicine 81
Replace Thao X. Hoang with:
Thao X. Hoang United States
Brian T. David United States
Yun Ma United States
K.S. Han South Korea
Çiğdem Elmas Türkiye
Luciana Politti Cartarozzi Brazil
Saurabh Sharma India
Julie M. Sroga United States
Ghafar T. Sarvestani Australia
Akila Chandrasekar Germany
Roberta Barbizan relative to Thao X. Hoang United States Thao X. Hoang's profile →
Citations per field
00.5×9.3×
Thao X. Hoang · 1×
Citations per year

Countries citing papers authored by Roberta Barbizan

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Barbizan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Roberta Barbizan, 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 Roberta Barbizan Line = papers co-authored together Roberta Barbizan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202310
2 201840
3 201743
4 201748
5 201624
6 201429
7 201419
8 201420
9 201353
10 201115
11 201110
12 201026
13 20104

About Roberta Barbizan

Roberta Barbizan is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 13 papers that have together received 341 indexed citations. Recurring topics across this work include Nerve injury and regeneration (7 papers), Spinal Cord Injury Research (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Nerve Injury and Rehabilitation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neuroscience of respiration and sleep (2 papers) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (52 citations), Cellular and Molecular Neuroscience (127 citations) and Neurology (52 citations). Roberta Barbizan has collaborated with scholars based in Brazil, United Kingdom and Spain. Frequent co-authors include Alexandre Leite Rodrigues de Oliveira, Rui Seabra Ferreira, Benedito Barraviera, Mateus Vidigal de Castro, Carina Solon, Lı́cio A. Velloso, Aline Barroso Spejo, Sheila C. Victório, Camila Marques Freria and Luciana Politti Cartarozzi. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and American Journal of Physiology-Endocrinology and Metabolism.

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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