Francesca E. Rocca

406 citations
12 papers · 259 · h-index 9

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Glycogen Storage Diseases and Myoclonus

Papers in

Francesca E. Rocca

10 papers receiving 254 citations

Peers

Francesca E. Rocca
Comparison fields: 5 of 33
  • Neurology 156
  • Neurology 32
  • Rheumatology 56
  • Cellular and Molecular Neuroscience 58
  • Physiology 71
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Chiara Reale Italy
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Hanneke Geut Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Francesca E. Rocca

Since Specialization
Citations

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

Fields of papers citing papers by Francesca E. Rocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200769
2 200655
3 200749
4 200619
5 200715
6 200814
7 201114
8 201110
9 20109
10
Novel human pathological mutations. Gene symbol: PARK7. Disease: Parkinson disease.
20105
11
Novel human pathological mutations. Gene symbol: PINK1. Disease: Parkinson disease.
20100
12 20250

About Francesca E. Rocca

Francesca E. Rocca is a scholar working on Neurology, Cellular and Molecular Neuroscience, Physiology, Organic Chemistry and Molecular Biology, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (3 papers), Nuclear Receptors and Signaling (2 papers), Autism Spectrum Disorder Research (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Alzheimer's disease research and treatments (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Neurology (156 citations), Neurology (32 citations), Rheumatology (56 citations), Cellular and Molecular Neuroscience (58 citations) and Physiology (71 citations). Francesca E. Rocca has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Grazia Annesi, Aldo Quattrone, Ferdinanda Annesi, Donatella Civitelli, Giuseppe Nicoletti, Patrizia Tarantino, Elvira Valeria De Marco, Giovanni Provenzano, Fabiana Novellino and Maurizio Morelli. Their work appears in journals such as Movement Disorders, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Parkinsonism & Related Disorders, Neuropathology and Applied Neurobiology and Epilepsia.

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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