Allison Piovesan

2.7k total citations · 1 hit paper
40 papers, 1.6k citations indexed

About

Allison Piovesan is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Allison Piovesan has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 15 papers in Public Health, Environmental and Occupational Health and 11 papers in Genetics. Recurrent topics in Allison Piovesan's work include Down syndrome and intellectual disability research (14 papers), RNA modifications and cancer (14 papers) and Genomic variations and chromosomal abnormalities (9 papers). Allison Piovesan is often cited by papers focused on Down syndrome and intellectual disability research (14 papers), RNA modifications and cancer (14 papers) and Genomic variations and chromosomal abnormalities (9 papers). Allison Piovesan collaborates with scholars based in Italy, Austria and Denmark. Allison Piovesan's co-authors include Maria Chiara Pelleri, Lorenza Vitale, Pierluigi Strippoli, Maria Caracausi, Francesca Antonaros, Raffaella Casadei, Flavia Frabetti, Eva Bianconi, Silvia Canaider and Federica Facchin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Allison Piovesan

39 papers receiving 1.6k 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.

An estimation of the number of cells in the human body

2013 601 citations Eva Bianconi, Allison Piovesan et al. Annals of Human Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Allison Piovesan Italy	17	984	264	261	240	124	40	1.6k
Maria Chiara Pelleri Italy	19	1.0k 1.0×	204 0.8×	265 1.0×	230 1.0×	135 1.1×	42	1.7k
Lorenza Vitale Italy	21	1.2k 1.3×	212 0.8×	313 1.2×	258 1.1×	152 1.2×	64	2.0k
Georg Fuellen Germany	24	1.1k 1.1×	152 0.6×	188 0.7×	241 1.0×	284 2.3×	137	1.9k
Tao Zhou China	27	1.3k 1.3×	598 2.3×	277 1.1×	359 1.5×	72 0.6×	125	2.2k
Pierluigi Strippoli Italy	27	1.5k 1.5×	315 1.2×	355 1.4×	310 1.3×	189 1.5×	89	2.6k
Kayo Yoshida Japan	24	1.6k 1.6×	199 0.8×	371 1.4×	322 1.3×	137 1.1×	81	2.5k
Ian A. Brewis United Kingdom	22	879 0.9×	207 0.8×	174 0.7×	642 2.7×	94 0.8×	38	1.9k
Jingwen Wu China	18	667 0.7×	567 2.1×	268 1.0×	173 0.7×	44 0.4×	68	1.5k
Jonathan E. Sears United States	32	796 0.8×	228 0.9×	124 0.5×	91 0.4×	93 0.8×	127	3.2k
Yong Jiang United States	20	1.2k 1.3×	267 1.0×	246 0.9×	75 0.3×	60 0.5×	60	1.8k

Countries citing papers authored by Allison Piovesan

Since Specialization

Citations

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

Fields of papers citing papers by Allison Piovesan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Piovesan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Caracausi, Maria, Bassam Lajin, Maria Chiara Pelleri, et al.. (2024). The functional roles of S‐adenosyl‐methionine and S‐adenosyl‐homocysteine and their involvement in trisomy 21. BioFactors. 50(4). 709–724. 2 indexed citations

Piovesan, Allison, Chiara Locatelli, Silvia Lanfranchi, et al.. (2023). Machine learning based analysis for intellectual disability in Down syndrome. Heliyon. 9(9). e19444–e19444. 7 indexed citations

Pelleri, Maria Chiara, Chiara Locatelli, Teresa Mattina, et al.. (2022). Partial trisomy 21 with or without highly restricted Down syndrome critical region (HR-DSCR): report of two new cases and reanalysis of the genotype–phenotype association. BMC Medical Genomics. 15(1). 266–266. 6 indexed citations

Caracausi, Maria, Lorenza Vitale, Allison Piovesan, et al.. (2022). One-carbon pathway metabolites are altered in the plasma of subjects with Down syndrome: Relation to chromosomal dosage. Frontiers in Medicine. 9. 1006891–1006891. 8 indexed citations

Antonaros, Francesca, Allison Piovesan, Lorenza Vitale, et al.. (2021). Structural Characterization of the Highly Restricted Down Syndrome Critical Region on 21q22.13: New KCNJ6 and DSCR4 Transcript Isoforms. Frontiers in Genetics. 12. 770359–770359. 8 indexed citations

Antonaros, Francesca, Veronica Ghini, Silvia Lanfranchi, et al.. (2020). Plasma metabolome and cognitive skills in Down syndrome. Scientific Reports. 10(1). 10491–10491. 26 indexed citations

Piovesan, Allison, Francesca Antonaros, Lorenza Vitale, et al.. (2019). Human protein-coding genes and gene feature statistics in 2019. BMC Research Notes. 12(1). 315–315. 113 indexed citations

Piovesan, Allison, Francesca Antonaros, Pierluigi Strippoli, et al.. (2019). Reference quantitative transcriptome dataset for adult Caenorhabditis elegans. SHILAP Revista de lepidopterología. 25. 104152–104152. 1 indexed citations

Piovesan, Allison, Maria Chiara Pelleri, Francesca Antonaros, et al.. (2019). On the length, weight and GC content of the human genome. BMC Research Notes. 12(1). 106–106. 137 indexed citations

10.

Caracausi, Maria, Veronica Ghini, Chiara Locatelli, et al.. (2018). Plasma and urinary metabolomic profiles of Down syndrome correlate with alteration of mitochondrial metabolism. Scientific Reports. 8(1). 2977–2977. 58 indexed citations

11.

Pelleri, Maria Chiara, Lorenza Vitale, Francesca Antonaros, et al.. (2018). Integrated Quantitative Transcriptome Maps of Human Trisomy 21 Tissues and Cells. Frontiers in Genetics. 9. 125–125. 35 indexed citations

12.

Vitale, Lorenza, Allison Piovesan, Francesca Antonaros, et al.. (2017). A molecular view of the normal human thyroid structure and function reconstructed from its reference transcriptome map. BMC Genomics. 18(1). 739–739. 13 indexed citations

13.

Vitale, Lorenza, Maria Caracausi, Raffaella Casadei, Maria Chiara Pelleri, & Allison Piovesan. (2017). Difficulty in obtaining the complete mRNA coding sequence at 5′ region (5′ end mRNA artifact): Causes, consequences in biology and medicine and possible solutions for obtaining the actual amino acid sequence of proteins (Review). International Journal of Molecular Medicine. 39(5). 1063–1071. 3 indexed citations

14.

Pelleri, Maria Chiara, Chiara Locatelli, Lorenza Vitale, et al.. (2016). Systematic reanalysis of partial trisomy 21 cases with or without Down syndrome suggests a small region on 21q22.13 as critical to the phenotype. Human Molecular Genetics. 25(12). ddw116–ddw116. 63 indexed citations

15.

Tan, Jennifer Y., Tamara Sirey, Frantisek Honti, et al.. (2015). Extensive microRNA-mediated crosstalk between lncRNAs and mRNAs in mouse embryonic stem cells. Genome Research. 25(5). 655–666. 88 indexed citations

16.

Casadei, Raffaella, Maria Chiara Pelleri, Lorenza Vitale, et al.. (2014). Characterization of human gene locus CYYR1: a complex multi-transcript system. Molecular Biology Reports. 41(9). 6025–6038. 6 indexed citations

17.

Pelleri, Maria Chiara, Allison Piovesan, Maria Caracausi, et al.. (2014). Integrated differential transcriptome maps of Acute Megakaryoblastic Leukemia (AMKL) in children with or without Down Syndrome (DS). BMC Medical Genomics. 7(1). 63–63. 19 indexed citations

18.

Piovesan, Allison, Maria Caracausi, Maria Chiara Pelleri, et al.. (2014). Improving mRNA 5′ coding sequence determination in the mouse genome. Mammalian Genome. 25(3-4). 149–159. 4 indexed citations

19.

Piovesan, Allison, Lorenza Vitale, Maria Chiara Pelleri, & Pierluigi Strippoli. (2013). Universal tight correlation of codon bias and pool of RNA codons (codonome): The genome is optimized to allow any distribution of gene expression values in the transcriptome from bacteria to humans. Genomics. 101(5). 282–289. 19 indexed citations

20.

Bianconi, Eva, Allison Piovesan, Federica Facchin, et al.. (2013). An estimation of the number of cells in the human body. Annals of Human Biology. 40(6). 463–471. 601 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact