Fabio Giannini

4.3k citations
48 papers · 1.6k · h-index 18

Impact in

Papers in

    • Amyotrophic Lateral Sclerosis Research 17
    • Peripheral Neuropathies and Disorders 10
    • Parkinson's Disease Mechanisms and Treatments 4
    • Neurogenetic and Muscular Disorders Research 9

Fabio Giannini

47 papers receiving 1.5k citations

Peers

Fabio Giannini
Comparison fields: 5 of 90
  • Neurology 585
  • Radiology, Nuclear Medicine and Imaging 678
  • Genetics 184
  • Orthopedics and Sports Medicine 82
  • Surgery 357
Replace Yu‐ichi Noto with:
Yu‐ichi Noto Japan
Javier Arpa Spain
Kevin J. Felice United States
J. CLARKE STEVENS United States
Zarina S. Ali United States
Eric Gold United States
Glenn Lopate United States
Juan J. Herrera United States
Ofer Sadan United States
Antonio Di Muzio Italy
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Citations per field
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Citations per year

Countries citing papers authored by Fabio Giannini

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Giannini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002331
2 2005191
3 2012154
4 2016123
5 201467
6 202067
7 201664
8 201155
9 202053
10 201253
11 200045
12 200731
13 200529
14 200428
15 201024
16 201318
17 201017
18 202217
19 201016
20 201716

About Fabio Giannini

Fabio Giannini is a scholar working on Neurology, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (17 papers), Peripheral Neuropathies and Disorders (10 papers), Neurogenetic and Muscular Disorders Research (9 papers), Peripheral Nerve Disorders (6 papers), Hereditary Neurological Disorders (5 papers), Mitochondrial Function and Pathology (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Neurology (585 citations), Radiology, Nuclear Medicine and Imaging (678 citations), Genetics (184 citations), Orthopedics and Sports Medicine (82 citations) and Surgery (357 citations). Fabio Giannini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Mauro Mondelli, Mariano Vincenzo Giacchi, Giuseppe La Torre, Pietro Caliandro, Luca Padua, Roberto Padua, Michele Ballerini, Federica Ginanneschi, Stefania Battistini and Claudia Ricci. Their work appears in journals such as Journal of the Neurological Sciences, Neurological Sciences, Journal of Neurology, Cochrane Database of Systematic Reviews and Neurobiology of Aging.

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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