Daniela Saverioni

684 citations
9 papers · 466 · h-index 8

Impact in

  • Neurology top 5%
    • Neurological diseases and metabolism
    • Alcoholism and Thiamine Deficiency
    • Amyotrophic Lateral Sclerosis Research
    • Prion Diseases and Protein Misfolding
    • RNA regulation and disease

Papers in

    • Prion Diseases and Protein Misfolding 9
    • Neurological diseases and metabolism 6
    • Alcoholism and Thiamine Deficiency 1

Daniela Saverioni

9 papers receiving 458 citations

Peers

Daniela Saverioni
Comparison fields: 5 of 49
  • Neurology 202
  • Molecular Biology 436
  • Nutrition and Dietetics 84
  • Neurology 71
  • Physiology 59
Replace Sven Forner with:
Sven Forner United States
Ingo M. Westner Germany
Jan Mackenzie United Kingdom
Bernadette Sharps United Kingdom
Hisako Furukawa Japan
M Leach United Kingdom
Tristan Bunn United Kingdom
Michele Gorham United Kingdom
J. R. Scott United Kingdom
Sabrina Cronier France
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Saverioni

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Saverioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2012160
2 201091
3
Molecular pathology, classification, and diagnosis of sporadic human prion disease variants.
201254
4 201347
5 201334
6 201629
7 201724
8 201520
9 20127

About Daniela Saverioni

Daniela Saverioni is a scholar working on Molecular Biology, Neurology, Neurology, Nutrition and Dietetics and Infectious Diseases, having authored 9 papers that have together received 466 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (9 papers), Neurological diseases and metabolism (6 papers), Trace Elements in Health (1 paper) and Alcoholism and Thiamine Deficiency (1 paper). The work is most often cited by research in Neurology (202 citations), Molecular Biology (436 citations), Nutrition and Dietetics (84 citations), Neurology (71 citations) and Physiology (59 citations). Daniela Saverioni has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Piero Parchi, Hans A. Kretzschmar, Sabina Capellari, Ilaria Poggiolini, Rosaria Strammiello, Armin Giese, James W. Ironside, Fabrizio Tagliavini, Annemieke J.M. Rozemüller and Isidró Ferrer. Their work appears in journals such as Journal of Virology, Acta Neuropathologica, Neuropathology, Acta Neuropathologica Communications and Journal of Biological Chemistry.

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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