Claudia Saraceno

1.0k total citations · 1 hit paper
30 papers, 767 citations indexed

About

Claudia Saraceno is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Claudia Saraceno has authored 30 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 12 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Claudia Saraceno's work include Alzheimer's disease research and treatments (19 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Dementia and Cognitive Impairment Research (6 papers). Claudia Saraceno is often cited by papers focused on Alzheimer's disease research and treatments (19 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Dementia and Cognitive Impairment Research (6 papers). Claudia Saraceno collaborates with scholars based in Italy, United Kingdom and United States. Claudia Saraceno's co-authors include Elena Marcello, Mónica Di Luca, Barbara Borroni, Roberta Epis, Roberta Ghidoni, Luisa Benussi, Silvia Pelucchi, Stefano Musardo, Alessandro Padovani and Fabrizio Gardoni and has published in prestigious journals such as Journal of Clinical Investigation, Brain and International Journal of Molecular Sciences.

In The Last Decade

Claudia Saraceno

28 papers receiving 759 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Brain-derived tau: a novel blood-based biomarker for Alzheimer’s disease-type neurodegeneration

2022 134 citations Fernando González‐Ortiz, Michael Turton et al. Brain profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Claudia Saraceno Italy	14	398	307	186	157	108	30	767
Katherine L. Youmans United States	11	536 1.3×	307 1.0×	165 0.9×	147 0.9×	120 1.1×	13	809
Shabnam Baig United Kingdom	9	616 1.5×	289 0.9×	194 1.0×	183 1.2×	115 1.1×	11	922
Shreyasi Chatterjee United Kingdom	9	364 0.9×	265 0.9×	127 0.7×	105 0.7×	118 1.1×	13	694
Sean M. Riordan United States	14	377 0.9×	417 1.4×	198 1.1×	105 0.7×	105 1.0×	24	908
Valérie Suain Belgium	17	608 1.5×	324 1.1×	209 1.1×	210 1.3×	140 1.3×	22	882
Rita Cacace Belgium	10	402 1.0×	352 1.1×	122 0.7×	123 0.8×	85 0.8×	16	787
Akira Kuzuya Japan	17	476 1.2×	436 1.4×	228 1.2×	114 0.7×	106 1.0×	41	952
Amanda T. Jeng United States	6	475 1.2×	307 1.0×	205 1.1×	194 1.2×	81 0.8×	9	726
Mary Dabney Davis United States	8	358 0.9×	416 1.4×	163 0.9×	165 1.1×	86 0.8×	14	762
Kevin R. Kay United States	10	437 1.1×	215 0.7×	245 1.3×	182 1.2×	91 0.8×	11	679

Countries citing papers authored by Claudia Saraceno

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Saraceno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Saraceno

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Saraceno. A scholar is included among the top collaborators of Claudia Saraceno 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 Claudia Saraceno. Claudia Saraceno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Saraceno, Claudia, Assunta Ingannato, Silvia Bagnoli, et al.. (2025). Evaluation of Illumina and Oxford Nanopore Sequencing for the Study of DNA Methylation in Alzheimer’s Disease and Frontotemporal Dementia. International Journal of Molecular Sciences. 26(9). 4198–4198. 3 indexed citations

Cotelli, Maria, Francesca Baglio, Elena Gobbi, et al.. (2025). Smart Digital Solutions for EARLY Treatment of COGNitive Disability (EARLY-COGN^3): A Study Protocol. Brain Sciences. 15(3). 239–239.

Catania, Marcella, Erika Salvi, Claudia Saraceno, et al.. (2024). Autophagy Markers Are Altered in Alzheimer’s Disease, Dementia with Lewy Bodies and Frontotemporal Dementia. International Journal of Molecular Sciences. 25(2). 1125–1125. 7 indexed citations

Saraceno, Claudia, Silvia Bagnoli, Assunta Ingannato, et al.. (2024). Mutational Landscape of Alzheimer’s Disease and Frontotemporal Dementia: Regional Variances in Northern, Central, and Southern Italy. International Journal of Molecular Sciences. 25(13). 7035–7035. 2 indexed citations

Pilotto, Andrea, Ilenia Libri, Claudia Saraceno, et al.. (2024). Unveiling New Genetic Variants Associated with Age at Onset in Alzheimer’s Disease and Frontotemporal Lobar Degeneration Due to C9orf72 Repeat Expansions. International Journal of Molecular Sciences. 25(13). 7457–7457. 1 indexed citations

Saraceno, Claudia, Carlo Cervellati, Alessandro Trentini, et al.. (2024). Serum Beta-Secretase 1 Activity Is a Potential Marker for the Differential Diagnosis between Alzheimer’s Disease and Frontotemporal Dementia: A Pilot Study. International Journal of Molecular Sciences. 25(15). 8354–8354. 4 indexed citations

Rossi, Giacomina, Erika Salvi, Luisa Benussi, et al.. (2022). The PINK1 p.Asn521Thr Variant Is Associated with Earlier Disease Onset in GRN/C9orf72 Frontotemporal Lobar Degeneration. International Journal of Molecular Sciences. 23(21). 12847–12847. 2 indexed citations

Saraceno, Claudia, Luisa Benussi, Laura Canafoglia, et al.. (2022). Plasma Small Extracellular Vesicle Cathepsin D Dysregulation in GRN/C9orf72 and Sporadic Frontotemporal Lobar Degeneration. International Journal of Molecular Sciences. 23(18). 10693–10693. 5 indexed citations

Saraceno, Claudia, Luisa Benussi, Rosanna Squitti, et al.. (2022). Plasma Small Extracellular Vesicles with Complement Alterations in GRN/C9orf72 and Sporadic Frontotemporal Lobar Degeneration. Cells. 11(3). 488–488. 8 indexed citations

10.

Saraceno, Claudia, Luisa Benussi, Roberta Ghidoni, et al.. (2022). Pathological 25 kDa C-Terminal Fragments of TDP-43 Are Present in Lymphoblastoid Cell Lines and Extracellular Vesicles from Patients Affected by Frontotemporal Lobar Degeneration and Neuronal Ceroidolipofuscinosis Carrying a GRN Mutation. International Journal of Molecular Sciences. 23(22). 13753–13753. 4 indexed citations

11.

Squitti, Rosanna, Marcella Catania, Pietro Tiraboschi, et al.. (2022). Cerebrospinal Fluid EV Concentration and Size Are Altered in Alzheimer’s Disease and Dementia with Lewy Bodies. Cells. 11(3). 462–462. 16 indexed citations

12.

González‐Ortiz, Fernando, Michael Turton, Przemysław R. Kac, et al.. (2022). Brain-derived tau: a novel blood-based biomarker for Alzheimer’s disease-type neurodegeneration. Brain. 146(3). 1152–1165. 134 indexed citations breakdown →

13.

Zanardini, Roberta, Claudia Saraceno, Luisa Benussi, Rosanna Squitti, & Roberta Ghidoni. (2022). Exploring Neurofilament Light Chain and Exosomes in the Genetic Forms of Frontotemporal Dementia. Frontiers in Neuroscience. 16. 758182–758182. 10 indexed citations

14.

Benussi, Luisa, Matteo Carrara, Clarissa Ferrari, et al.. (2021). Investigating the Endo-Lysosomal System in Major Neurocognitive Disorders Due to Alzheimer’s Disease, Frontotemporal Lobar Degeneration and Lewy Body Disease: Evidence for SORL1 as a Cross-Disease Gene. International Journal of Molecular Sciences. 22(24). 13633–13633. 11 indexed citations

15.

Domingo, Guido, Luisa Benussi, Claudia Saraceno, et al.. (2021). N-Terminally Truncated and Pyroglutamate-Modified Aβ Forms Are Measurable in Human Cerebrospinal Fluid and Are Potential Markers of Disease Progression in Alzheimer’s Disease. Frontiers in Neuroscience. 15. 708119–708119. 14 indexed citations

16.

Zizioli, Daniela, Natascia Tiso, Adele Guglielmi, et al.. (2015). Knock-down of pantothenate kinase 2 severely affects the development of the nervous and vascular system in zebrafish, providing new insights into PKAN disease. Neurobiology of Disease. 85. 35–48. 55 indexed citations

17.

Saraceno, Claudia, Stefano Musardo, Elena Marcello, Silvia Pelucchi, & Mónica Di Luca. (2013). Modeling Alzheimer’s disease: from past to future. Frontiers in Pharmacology. 4. 77–77. 42 indexed citations

18.

Marcello, Elena, Claudia Saraceno, Stefano Musardo, et al.. (2013). Endocytosis of synaptic ADAM10 in neuronal plasticity and Alzheimer’s disease. Journal of Clinical Investigation. 123(6). 2523–2538. 96 indexed citations

19.

Marcello, Elena, Roberta Epis, Claudia Saraceno, & Mónica Di Luca. (2012). Synaptic Dysfunction in Alzheimer’s Disease. Advances in experimental medicine and biology. 970. 573–601. 88 indexed citations

20.

Marcello, Elena, Roberta Epis, Claudia Saraceno, et al.. (2010). SAP97-mediated local trafficking is altered in Alzheimer disease patients' hippocampus. Neurobiology of Aging. 33(2). 422.e1–422.e10. 52 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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