Valentina Berti

3.8k total citations · 1 hit paper
112 papers, 2.5k citations indexed

About

Valentina Berti is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Valentina Berti has authored 112 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Psychiatry and Mental health, 29 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Physiology. Recurrent topics in Valentina Berti's work include Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (24 papers) and Neurobiology of Language and Bilingualism (14 papers). Valentina Berti is often cited by papers focused on Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (24 papers) and Neurobiology of Language and Bilingualism (14 papers). Valentina Berti collaborates with scholars based in Italy, United States and France. Valentina Berti's co-authors include Alberto Pupi, Lisa Mosconi, Mony J. de Leon, Shankar Vallabhajosula, Susan De Santi, Lidia Glodzik, Richard Isaacson, Ricardo S. Osorio, Sandro Sorbi and Pauline McHugh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Valentina Berti

101 papers receiving 2.5k 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.

Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition

2021 140 citations Lisa Mosconi, Valentina Berti et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Valentina Berti Italy	23	847	554	472	388	322	112	2.5k
Benjamin S. Aribisala United Kingdom	26	1.1k 1.3×	358 0.6×	553 1.2×	402 1.0×	295 0.9×	79	3.3k
Francesca Clerici Italy	24	804 0.9×	696 1.3×	238 0.5×	375 1.0×	245 0.8×	72	2.1k
Thomas Duning Germany	32	1.0k 1.2×	564 1.0×	515 1.1×	296 0.8×	414 1.3×	101	3.6k
Ilya M. Nasrallah United States	26	406 0.5×	465 0.8×	429 0.9×	520 1.3×	375 1.2×	122	2.1k
Manabu Tashiro Japan	36	1.1k 1.4×	601 1.1×	696 1.5×	518 1.3×	511 1.6×	179	3.9k
Leonardo Iaccarino Italy	33	893 1.1×	778 1.4×	417 0.9×	438 1.1×	607 1.9×	106	2.9k
Carlos Alberto Buchpiguel Brazil	33	524 0.6×	751 1.4×	1.1k 2.3×	319 0.8×	817 2.5×	278	4.3k
Hee Jin Kim South Korea	32	1.2k 1.4×	1.4k 2.5×	512 1.1×	461 1.2×	672 2.1×	185	3.0k
Kerstin Sander Germany	30	446 0.5×	255 0.5×	209 0.4×	644 1.7×	371 1.2×	70	2.9k
Usman Khan United States	21	485 0.6×	295 0.5×	191 0.4×	336 0.9×	405 1.3×	71	2.3k

Countries citing papers authored by Valentina Berti

Since Specialization

Citations

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

Fields of papers citing papers by Valentina Berti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Berti

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Berti. A scholar is included among the top collaborators of Valentina Berti 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 Valentina Berti. Valentina Berti 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

Giacomucci, Giulia, Assunta Ingannato, Silvia Bagnoli, et al.. (2025). Plasma p‐tau181 as a Marker of Conversion to Alzheimer's Disease Dementia and Worsening in Cognitive Functions in Subjective Cognitive Decline and Mild Cognitive Impairment: A Longitudinal Study. Annals of Clinical and Translational Neurology. 12(12). 2495–2504.

Giacomucci, Giulia, Assunta Ingannato, Silvia Bagnoli, et al.. (2025). The two cut‐offs approach for plasma p‐tau217 in detecting Alzheimer's disease in subjective cognitive decline and mild cognitive impairment. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 17(2). e70116–e70116.

Berti, Valentina, et al.. (2024). Up-to-Date Imaging for Parathyroid Tumor Localization in MEN1 Patients with Primary Hyperparathyroidism: When and Which Ones (A Narrative Pictorial Review). Diagnostics. 15(1). 11–11. 1 indexed citations

Cristofaro, De, Flavia Linguanti, Silvia Ramat, et al.. (2024). Reduction in variability of dopamine transporter measures using SPECT and ultra-high-resolution fan beam collimators: comparison with parallel-hole collimators in healthy controls for a clinical reference database. Clinical and Translational Imaging. 12(3). 347–357.

Giacomucci, Giulia, Salvatore Mazzeo, Cristina Polito, et al.. (2024). Disentangling empathy impairment along Alzheimer's disease continuum: From subjective cognitive decline to Alzheimer's dementia. Cortex. 172. 125–140. 5 indexed citations

Linguanti, Flavia, Vittorio Miele, Francesco Mungai, et al.. (2024). Texture analysis of 18F‐FDG PET/CT and CECT: Prediction of refractoriness of Hodgkin lymphoma with mediastinal bulk involvement. Hematological Oncology. 42(2). e3261–e3261. 6 indexed citations

Polito, Cristina, Francesca Conca, Gaia Chiara Santi, et al.. (2023). Comparing two picture naming tasks in primary progressive aphasia: Insights from behavioural and neural results. Cortex. 166. 1–18. 2 indexed citations

Mazzeo, Salvatore, Silvia Bagnoli, Assunta Ingannato, et al.. (2023). Plasma neurofilament light chain predicts Alzheimer’s disease in patients with subjective cognitive decline and mild cognitive impairment: a longitudinal study. Alzheimer s & Dementia. 19(S24). 1 indexed citations

Mazzeo, Salvatore, Assunta Ingannato, Giulia Giacomucci, et al.. (2023). Plasma neurofilament light chain predicts Alzheimer's disease in patients with subjective cognitive decline and mild cognitive impairment: A cross‐sectional and longitudinal study. European Journal of Neurology. 31(1). e16089–e16089. 22 indexed citations

10.

Giacomucci, Giulia, Cristina Polito, Valentina Berti, et al.. (2023). Differences and Similarities in Empathy Deficit and Its Neural Basis between Logopenic and Amnesic Alzheimer’s Disease. Journal of Personalized Medicine. 13(2). 208–208. 4 indexed citations

11.

Boccalini, Cecilia, Giulia Carli, Giacomo Tondo, et al.. (2022). Brain metabolic connectivity reconfiguration in the semantic variant of primary progressive aphasia. Cortex. 154. 1–14. 2 indexed citations

12.

Mazzeo, Salvatore, Cristina Polito, Silvia Bagnoli, et al.. (2022). Loss of speech and functional impairment in Alzheimer's disease-related primary progressive aphasia: predictive factors of decline. Neurobiology of Aging. 117. 59–70. 5 indexed citations

13.

Linguanti, Flavia, et al.. (2022). Metabolic Imaging in B-Cell Lymphomas during CAR-T Cell Therapy. Cancers. 14(19). 4700–4700. 12 indexed citations

14.

Caminiti, Silvia Paola, Arianna Sala, Luca Presotto, et al.. (2021). Validation of FDG-PET datasets of normal controls for the extraction of SPM-based brain metabolism maps. European Journal of Nuclear Medicine and Molecular Imaging. 48(8). 2486–2499. 34 indexed citations

15.

Catricalà, Eleonora, Cristina Polito, Luca Presotto, et al.. (2020). Neural correlates of naming errors across different neurodegenerative diseases. Neurology. 95(20). e2816–e2830. 17 indexed citations

16.

Luminari, Stefano, Benedetta Donati, Massimiliano Casali, et al.. (2019). A Gene Expression–based Model to Predict Metabolic Response After Two Courses of ABVD in Hodgkin Lymphoma Patients. Clinical Cancer Research. 26(2). 373–383. 11 indexed citations

17.

Mosconi, Lisa, Valentina Berti, Crystal Quinn, et al.. (2017). Sex differences in Alzheimer risk. Neurology. 89(13). 1382–1390. 208 indexed citations

18.

Tomberli, Benedetta, Franco Cecchi, Roberto Sciagrà, et al.. (2013). Coronary Microvascular Dysfunction is an Early Feature of Cardiac Involvement in Patients with Anderson–Fabry Disease. European Journal of Heart Failure. 15(12). 1363–1373. 48 indexed citations

19.

Caterina, Raffaele De, et al.. (2012). Aspirina nella prevenzione primaria delle malattie cardiovascolari: come bilanciare rischi e benefici. Giornale italiano di cardiologia. 13(7). 494–502. 1 indexed citations

20.

Mosconi, Lisa, Juha O. Rinne, Wai Hon Tsui, et al.. (2010). Increased fibrillar amyloid-β burden in normal individuals with a family history of late-onset Alzheimer’s. Proceedings of the National Academy of Sciences. 107(13). 5949–5954. 110 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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