Gianna Berti

670 citations
32 papers · 463 · h-index 16

Impact in

  • Neurology top 10%
    • Neurological diseases and metabolism
    • Cerebrovascular and genetic disorders
    • Metabolism and Genetic Disorders

Papers in

Gianna Berti

29 papers receiving 444 citations

Peers

Gianna Berti
Comparison fields: 5 of 62
  • Neurology 70
  • Clinical Biochemistry 48
  • Cellular and Molecular Neuroscience 110
  • Neurology 80
  • Hematology 51
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Paul Cherian United States
Emanuele Panza Italy
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Citations per field
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Citations per year

Countries citing papers authored by Gianna Berti

Since Specialization
Citations

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

Fields of papers citing papers by Gianna Berti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200149
2
Autonomic nervous system and smooth muscle cell involvement in systemic sclerosis: ultrastructural study of 3 cases.
200043
3 199438
4 199329
5 200828
6 200926
7 199525
8 200221
9 199620
10 200818
11 199617
12 200717
13 200516
14 201216
15 200116
16 200415
17 199811
18
Ultrastructural findings in the peripheral nerve in a family with the intermediate form of Charcot-Marie-Tooth disease.
200211
19 20018
20 19958

About Gianna Berti

Gianna Berti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Clinical Biochemistry, having authored 32 papers that have together received 463 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (9 papers), Neurological diseases and metabolism (8 papers), Genetic Neurodegenerative Diseases (6 papers), Mitochondrial Function and Pathology (4 papers), Metabolism and Genetic Disorders (3 papers), Blood groups and transfusion (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers) and Cerebrovascular and genetic disorders (2 papers). The work is most often cited by research in Neurology (70 citations), Clinical Biochemistry (48 citations), Cellular and Molecular Neuroscience (110 citations), Neurology (80 citations) and Hematology (51 citations). Gianna Berti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Alessandro Malandrini, S. Gambelli, Antonio Federico, Alessandro Malandrini, Silvia Palmeri, Marcello Villanova, Gian Maria Fabrizi, Alex Malandrini, Alessandro Bucalossi and Maria Teresa Dotti. Their work appears in journals such as Journal of the Neurological Sciences, Brain and Development, Neurological Sciences, Neurology and Acta Neuropathologica.

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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