Piera Pasinelli

7.2k citations
61 papers · 5.7k indexed · 3 hit papers · h-index 35

Piera Pasinelli

60 papers receiving 5.6k citations

Hit Papers

Antisense Proline-Arginine RAN Dipeptides Linked to ...3942006202620122019250500750

Peers

Piera Pasinelli
Comparison fields: 5 of 110
  • Neurology 3.6k
  • Genetics 1.8k
  • Neurology 947
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 211
Replace Christine Vande Velde with:
Christine Vande Velde Canada
Afif Hentati United States
Tania F. Gendron United States
Makoto Urushitani Japan
Steven Ackerley United Kingdom
Ping Zhai United States
Wen-Lang Lin United States
Thomas T. Chou United States
Makiko Nagai Japan
Sami J. Barmada United States
Piera Pasinelli relative to Christine Vande Velde Canada Christine Vande Velde's profile →
Citations per field
00.5×1.5×2.0×
Christine Vande Velde · 1×
Citations per year

Countries citing papers authored by Piera Pasinelli

Since Specialization
Citations

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

Fields of papers citing papers by Piera Pasinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20243
4 20241
5 20234
6 20212
7 201924
8 201945
9 201648
10 201633
11 201493
12
Antisense Proline-Arginine RAN Dipeptides Linked to C9ORF72-ALS/FTD Form Toxic Nuclear Aggregates that Initiate In Vitro and In Vivo Neuronal Deathbreakdown →
2014394
13 2012154
14 20115
15
Wild-type and mutant SOD1 share an aberrant conformation and a common pathogenic pathway in ALSbreakdown →
2010544
16 2006109
17 200495
18 2001144
19 199711
20 199567

About Piera Pasinelli

Piera Pasinelli is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 5.7k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (48 papers), Neurogenetic and Muscular Disorders Research (26 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Genetic Neurodegenerative Diseases (8 papers), Drug Transport and Resistance Mechanisms (5 papers) and Prion Diseases and Protein Misfolding (4 papers). The work is most often cited by research in Neurology (3.6k citations), Genetics (1.8k citations) and Neurology (947 citations). Piera Pasinelli has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Robert H. Brown, Davide Trotti, Megan K. Houseweart, Don W. Cleveland, Xinmei Wen, Thomas Westergard, Shashirekha S. Markandaiah, David S. Miller, Karthik Krishnamurthy and Wenzhi Tan. Their work appears in journals such as Journal of Biological Chemistry, Glia, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Experimental Neurology.

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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