Silvia Paciotti

2.9k total citations · 1 hit paper
37 papers, 2.0k citations indexed

About

Silvia Paciotti is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Silvia Paciotti has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 22 papers in Neurology and 8 papers in Molecular Biology. Recurrent topics in Silvia Paciotti's work include Parkinson's Disease Mechanisms and Treatments (22 papers), Lysosomal Storage Disorders Research (16 papers) and Alzheimer's disease research and treatments (10 papers). Silvia Paciotti is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (22 papers), Lysosomal Storage Disorders Research (16 papers) and Alzheimer's disease research and treatments (10 papers). Silvia Paciotti collaborates with scholars based in Italy, Netherlands and Germany. Silvia Paciotti's co-authors include Lucilla Parnetti, Paolo Calabresi, Paolo Eusebi, Tommaso Beccari, Davide Chiasserini, Giovanni Bellomo, Omar M. A. El‐Agnaf, Oskar Hansson, Kaj Blennow and Lorenzo Gaetani and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Brain.

In The Last Decade

Silvia Paciotti

37 papers receiving 1.9k citations

Hit Papers

CSF and blood biomarkers for Parkinson's disease 2019 2026 2021 2023 2019 100 200 300 400

Peers

Silvia Paciotti
Linnea Diep United States
Dawn M. Riddle United States
Emily M. Rocha United States
Manuel Schweighauser United Kingdom
Lena F. Burbulla United States
Silvia Paciotti
Citations per year, relative to Silvia Paciotti Silvia Paciotti (= 1×) peers Evangelia Emmanouilidou

Countries citing papers authored by Silvia Paciotti

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Paciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Paciotti

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Paciotti. A scholar is included among the top collaborators of Silvia Paciotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvia Paciotti. Silvia Paciotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Paciotti, Silvia, Giovanni Bellomo, Elena Chipi, et al.. (2023). Potential diagnostic value of CSF metabolism-related proteins across the Alzheimer’s disease continuum. Alzheimer s Research & Therapy. 15(1). 124–124. 9 indexed citations
2.
Chiasserini, Davide, Giovanni Bellomo, Silvia Paciotti, et al.. (2022). Phosphatidylethanolamine Binding Protein 1 (PEBP1) in Alzheimer’s Disease: ELISA Development and Clinical Validation. Journal of Alzheimer s Disease. 88(4). 1459–1468. 4 indexed citations
3.
Vignoli, Alessia, Silvia Paciotti, Leonardo Tenori, et al.. (2020). Fingerprinting Alzheimer’s Disease by 1H Nuclear Magnetic Resonance Spectroscopy of Cerebrospinal Fluid. Journal of Proteome Research. 19(4). 1696–1705. 33 indexed citations
4.
Bellomo, Giovanni, Samuela Cataldi, Silvia Paciotti, et al.. (2020). Measurement of CSF core Alzheimer disease biomarkers for routine clinical diagnosis: do fresh vs frozen samples differ?. Alzheimer s Research & Therapy. 12(1). 121–121. 6 indexed citations
5.
Sjödin, Simon, Gunnar Brinkmalm, Annika Öhrfelt, et al.. (2019). Endo-lysosomal proteins and ubiquitin CSF concentrations in Alzheimer’s and Parkinson’s disease. Alzheimer s Research & Therapy. 11(1). 82–82. 64 indexed citations
6.
Biscetti, Leonardo, Nicola Salvadori, Lucia Farotti, et al.. (2019). The added value of Aβ42/Aβ40 in the CSF signature for routine diagnostics of Alzheimer's disease. Clinica Chimica Acta. 494. 71–73. 25 indexed citations
7.
Nuzzo, Tommaso, Daniela Punzo, Paola Devoto, et al.. (2019). The levels of the NMDA receptor co-agonist D-serine are reduced in the substantia nigra of MPTP-lesioned macaques and in the cerebrospinal fluid of Parkinson’s disease patients. Scientific Reports. 9(1). 8898–8898. 41 indexed citations
8.
Parnetti, Lucilla, et al.. (2019). Parkinson's and Lewy body dementia CSF biomarkers. Clinica Chimica Acta. 495. 318–325. 47 indexed citations
9.
Parnetti, Lucilla, Lorenzo Gaetani, Paolo Eusebi, et al.. (2019). CSF and blood biomarkers for Parkinson's disease. The Lancet Neurology. 18(6). 573–586. 439 indexed citations breakdown →
10.
Paciotti, Silvia, Paolo Eusebi, Lucia Farotti, et al.. (2019). Diagnostic performance of a fully automated chemiluminescent enzyme immunoassay for Alzheimer's disease diagnosis. Clinica Chimica Acta. 494. 74–78. 15 indexed citations
11.
Lewczuk, Piotr, Natalia Ermann, Fay Betsou, et al.. (2018). Interlaboratory proficiency processing scheme in CSF aliquoting: implementation and assessment based on biomarkers of Alzheimer’s disease. Alzheimer s Research & Therapy. 10(1). 87–87. 10 indexed citations
12.
Moors, Tim E., Silvia Paciotti, Angela Ingrassia, et al.. (2018). Characterization of Brain Lysosomal Activities in GBA-Related and Sporadic Parkinson’s Disease and Dementia with Lewy Bodies. Molecular Neurobiology. 56(2). 1344–1355. 108 indexed citations
13.
Campo, Marta del, Daniela Galimberti, Yolande A.L. Pijnenburg, et al.. (2018). Novel CSF biomarkers to discriminate FTLD and its pathological subtypes. Annals of Clinical and Translational Neurology. 5(10). 1163–1175. 23 indexed citations
14.
Eusebi, Paolo, Oskar Hansson, Silvia Paciotti, et al.. (2017). Cerebrospinal fluid biomarkers for the diagnosis and prognosis of Parkinson’s disease: protocol for a systematic review and individual participant data meta-analysis. BMJ Open. 7(11). e018177–e018177. 4 indexed citations
15.
Chiasserini, Davide, Silvia Paciotti, Paolo Eusebi, et al.. (2015). Selective loss of glucocerebrosidase activity in sporadic Parkinson’s disease and dementia with Lewy bodies. Molecular Neurodegeneration. 10(1). 15–15. 123 indexed citations
16.
Paciotti, Silvia, Emanuele Persichetti, Anna Tasegian, et al.. (2014). Accumulation of Free Oligosaccharides and Tissue Damage in Cytosolic α-Mannosidase (Man2c1)-deficient Mice. Journal of Biological Chemistry. 289(14). 9611–9622. 15 indexed citations
17.
Persichetti, Emanuele, Silvia Paciotti, Maria Michiara, et al.. (2012). Lysosomal di-N-acetylchitobiase-deficient mouse tissues accumulate Man2GlcNAc2 and Man3GlcNAc2. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(7). 1137–1146. 9 indexed citations
18.
Parnetti, Lucilla, Laura Pierguidi, Cataldo D’Amore, et al.. (2009). Cerebrospinal fluid β-glucocerebrosidase activity is reduced in Dementia with Lewy Bodies. Neurobiology of Disease. 34(3). 484–486. 54 indexed citations
19.
Michiara, Maria, Thomas Berg, Emanuele Persichetti, et al.. (2008). Molecular cloning and structural organization of the gene encoding the mouse lysosomal di-N-acetylchitobiase (ctbs). Gene. 416(1-2). 85–91. 4 indexed citations
20.
Stensland, Hilde Monica Frostad Riise, et al.. (2008). Identification of two novel β-mannosidosis-associated sequence variants: Biochemical analysis of β-mannosidase (MANBA) missense mutations. Molecular Genetics and Metabolism. 94(4). 476–480. 14 indexed citations

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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