Serena Dato

3.3k total citations
61 papers, 2.1k citations indexed

About

Serena Dato is a scholar working on Physiology, Aging and Molecular Biology. According to data from OpenAlex, Serena Dato has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Physiology, 29 papers in Aging and 26 papers in Molecular Biology. Recurrent topics in Serena Dato's work include Genetics, Aging, and Longevity in Model Organisms (29 papers), Adipose Tissue and Metabolism (10 papers) and Mitochondrial Function and Pathology (7 papers). Serena Dato is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (29 papers), Adipose Tissue and Metabolism (10 papers) and Mitochondrial Function and Pathology (7 papers). Serena Dato collaborates with scholars based in Italy, Denmark and United States. Serena Dato's co-authors include Giuseppe Passarino, Giuseppina Rose, Dina Bellizzi, Claudio Franceschi, Vincenzo Mari, Francesco De Rango, E Feraco, Kaare Christensen, Paolina Crocco and Alberto Montesanto and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Serena Dato

58 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serena Dato Italy 26 920 906 627 509 285 61 2.1k
Sarah J. Mitchell United States 29 1.5k 1.6× 982 1.1× 670 1.1× 410 0.8× 260 0.9× 79 3.0k
Giuseppina Rose Italy 33 1.1k 1.2× 1.6k 1.8× 798 1.3× 489 1.0× 354 1.2× 93 3.2k
Michael S. Bonkowski United States 26 1.4k 1.5× 949 1.0× 730 1.2× 697 1.4× 365 1.3× 45 2.8k
Francesco De Rango Italy 23 604 0.7× 628 0.7× 341 0.5× 319 0.6× 166 0.6× 52 1.7k
Kaitlyn N. Lewis United States 15 575 0.6× 770 0.8× 392 0.6× 243 0.5× 124 0.4× 23 1.6k
Alberto Montesanto Italy 28 579 0.6× 689 0.8× 245 0.4× 190 0.4× 107 0.4× 84 1.8k
A.I. Yashin United States 17 372 0.4× 318 0.4× 274 0.4× 205 0.4× 174 0.6× 40 1.4k
Louis R. Lapierre United States 21 426 0.5× 920 1.0× 1.0k 1.6× 106 0.2× 801 2.8× 36 2.4k
Sebastian Brandhorst United States 24 2.4k 2.6× 1.2k 1.3× 402 0.6× 113 0.2× 315 1.1× 33 3.8k
R. Michael Anson United States 19 998 1.1× 812 0.9× 517 0.8× 90 0.2× 120 0.4× 23 1.9k

Countries citing papers authored by Serena Dato

Since Specialization
Citations

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

Fields of papers citing papers by Serena Dato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Dato

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Dato. A scholar is included among the top collaborators of Serena Dato 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 Serena Dato. Serena Dato 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.
Crocco, Paolina, et al.. (2025). Circulating microRNAs miR-21-5p, miR-23a-3p and miR-26a-5p reflect clinical and molecular features of aging. Scientific Reports. 16(1). 2690–2690.
2.
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Crocco, Paolina, Alberto Montesanto, Luca Soraci, et al.. (2024). The Potential Contribution of MyomiRs miR-133a-3p, -133b, and -206 Dysregulation in Cardiovascular Disease Risk. International Journal of Molecular Sciences. 25(23). 12772–12772. 5 indexed citations
4.
Dato, Serena, Francesco De Rango, Paolina Crocco, et al.. (2023). Sex‐ and APOE‐specific genetic risk factors for late‐onset Alzheimer's disease: Evidence from gene–gene interaction of longevity‐related loci. Aging Cell. 22(9). e13938–e13938. 8 indexed citations
5.
Crocco, Paolina, Francesco De Rango, Serena Dato, et al.. (2023). The Shortening of Leukocyte Telomere Length Contributes to Alzheimer’s Disease: Further Evidence from Late-Onset Familial and Sporadic Cases. Biology. 12(10). 1286–1286. 6 indexed citations
6.
Dato, Serena, et al.. (2022). Biomarkers of Frailty: miRNAs as Common Signatures of Impairment in Cognitive and Physical Domains. Biology. 11(8). 1151–1151. 6 indexed citations
7.
Crocco, Paolina, et al.. (2022). Circulating miR-181a as a novel potential plasma biomarker for multimorbidity burden in the older population. BMC Geriatrics. 22(1). 772–772. 5 indexed citations
8.
Dato, Serena, et al.. (2021). Omics in a Digital World: The Role of Bioinformatics in Providing New Insights Into Human Aging. Frontiers in Genetics. 12. 689824–689824. 8 indexed citations
9.
Dato, Serena, Paolina Crocco, Francesco De Rango, et al.. (2021). IP6K3 and IPMK variations in LOAD and longevity: Evidence for a multifaceted signaling network at the crossroad between neurodegeneration and survival. Mechanisms of Ageing and Development. 195. 111439–111439. 9 indexed citations
10.
Dato, Serena, Francesco De Rango, Paolina Crocco, Giuseppe Passarino, & Giuseppina Rose. (2017). Pleiotropic effects of UCP2–UCP3 variability on leucocyte telomere length and glucose homeostasis. Biogerontology. 18(3). 347–355. 3 indexed citations
11.
Dato, Serena, Dina Bellizzi, Giuseppina Rose, & Giuseppe Passarino. (2016). The impact of nutrients on the aging rate: A complex interaction of demographic, environmental and genetic factors. Mechanisms of Ageing and Development. 154. 49–61. 22 indexed citations
12.
Soerensen, Mette, Serena Dato, Qihua Tan, et al.. (2012). Evidence from case–control and longitudinal studies supports associations of genetic variation in APOE, CETP, and IL6 with human longevity. AGE. 35(2). 487–500. 67 indexed citations
13.
Pietro, Fabio Di, Serena Dato, Francesco M. Carpi, et al.. (2012). TP53*P72 Allele Influences Negatively Female Life Expectancy in a Population of Central Italy: Cross-Sectional Study and Genetic-Demographic Approach Analysis. The Journals of Gerontology Series A. 68(5). 539–545. 10 indexed citations
14.
Soerensen, Mette, Mikael Thinggaard, Marianne Nygaard, et al.. (2011). Genetic variation in TERT and TERC and human leukocyte telomere length and longevity: a cross‐sectional and longitudinal analysis. Aging Cell. 11(2). 223–227. 88 indexed citations
15.
Dato, Serena, Alberto Montesanto, Vincenzo Lagani, et al.. (2011). Frailty phenotypes in the elderly based on cluster analysis: a longitudinal study of two Danish cohorts. Evidence for a genetic influence on frailty. AGE. 34(3). 571–582. 62 indexed citations
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Montesanto, Alberto, Serena Dato, Francesco De Rango, et al.. (2008). APOE polymorphism affects episodic memory among non demented elderly subjects. Experimental Gerontology. 44(3). 224–227. 35 indexed citations
18.
Bellizzi, Dina, Serena Dato, Paola Cavalcante, et al.. (2006). Characterization of a bidirectional promoter shared between two human genes related to aging: SIRT3 and PSMD13. Genomics. 89(1). 143–150. 71 indexed citations
19.
Passarino, Giuseppe, Alberto Montesanto, Serena Dato, et al.. (2006). Sex and Age Specificity of Susceptibility Genes Modulating Survival at Old Age. Human Heredity. 62(4). 213–220. 42 indexed citations
20.
Passarino, Giuseppe, Gianpiero L. Cavalleri, Rosalia Stecconi, et al.. (2003). Molecular variation of human HSP90α and HSP90β genes in Caucasians. Human Mutation. 21(5). 554–555. 30 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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