Anna Sagnelli

981 citations
22 papers · 650 · h-index 13

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

Anna Sagnelli

22 papers receiving 640 citations

Peers

Anna Sagnelli
Comparison fields: 5 of 76
  • Neurology 247
  • Genetics 92
  • Cellular and Molecular Neuroscience 156
  • Speech and Hearing 45
  • Neurology 48
Replace Luigi Serlenga with:
Luigi Serlenga Italy
Akihiro Kawata Japan
Orna O’Toole Ireland
N. Vandenberghe France
D. E. Genis Spain
Niranjanan Nirmalananthan United Kingdom
Omar Dabbagh Saudi Arabia
Katsuhisa Ogata Japan
Eleonora Dalla Bella Italy
Madison T. Gray Canada
Anna Sagnelli relative to Luigi Serlenga Italy Luigi Serlenga's profile →
Citations per field
00.5×
Luigi Serlenga · 1×
Citations per year

Countries citing papers authored by Anna Sagnelli

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sagnelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015170
2 201590
3 201085
4 201259
5 201441
6 201036
7 201726
8 201123
9 201418
10 202114
11 201414
12 201513
13 201213
14 202012
15 201310
16 20169
17 20166
18 20126
19 20162
20 20131

About Anna Sagnelli

Anna Sagnelli is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Genetics and Neurology, having authored 22 papers that have together received 650 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Hereditary Neurological Disorders (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Dysphagia Assessment and Management (3 papers), Neurological diseases and metabolism (3 papers), Muscle Physiology and Disorders (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Neurology (247 citations), Genetics (92 citations), Cellular and Molecular Neuroscience (156 citations), Speech and Hearing (45 citations) and Neurology (48 citations). Anna Sagnelli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Davide Pareyson, Maria Rosaria Monsurrò, Paola Saveri, Giuseppe Piscosquito, Alfonsa Claudia Taiello, Stefania Lalli, G. Tedeschi, Alberto Albanese, Vincenzo La Bella and Antonio Emanuele Elia. Their work appears in journals such as European Journal of Neurology, Journal of the Peripheral Nervous System, Neuromuscular Disorders, Journal of Molecular Neuroscience and La radiologia medica.

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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