Viola Volpato

1.3k total citations
11 papers, 636 citations indexed

About

Viola Volpato is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Viola Volpato has authored 11 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Neurology. Recurrent topics in Viola Volpato's work include Machine Learning in Bioinformatics (3 papers), Single-cell and spatial transcriptomics (3 papers) and Protein Structure and Dynamics (3 papers). Viola Volpato is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Single-cell and spatial transcriptomics (3 papers) and Protein Structure and Dynamics (3 papers). Viola Volpato collaborates with scholars based in United Kingdom, Ireland and Australia. Viola Volpato's co-authors include Caleb Webber, Rory Bowden, Richard Wade‐Martins, Jimena Monzón‐Sandoval, Tara M. Caffrey, Cynthia Sandor, Javier Alegre‐Abarrategui, Devika Agarwal, Gianluca Pollastri and Walther Haenseler and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Genome Research.

In The Last Decade

Viola Volpato

11 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Viola Volpato United Kingdom	8	406	158	153	112	82	11	636
Georgia Kouroupi Greece	12	358 0.9×	212 1.3×	132 0.9×	56 0.5×	61 0.7×	16	613
Angelo Iannielli Italy	11	457 1.1×	180 1.1×	115 0.8×	49 0.4×	93 1.1×	18	613
Helle Bogetofte Denmark	11	353 0.9×	264 1.7×	275 1.8×	75 0.7×	206 2.5×	13	723
Lena Böhnke United States	4	616 1.5×	279 1.8×	106 0.7×	85 0.8×	124 1.5×	6	813
Benoît Aubé Canada	9	206 0.5×	145 0.9×	157 1.0×	138 1.2×	70 0.9×	10	630
Atossa Shaltouki United States	9	568 1.4×	254 1.6×	347 2.3×	127 1.1×	182 2.2×	10	911
Elizabeth L. Calder United States	8	430 1.1×	192 1.2×	46 0.3×	65 0.6×	60 0.7×	9	589
Keun-Young Kim United States	5	474 1.2×	139 0.9×	115 0.8×	232 2.1×	124 1.5×	10	785
Andromachi Karakatsani Germany	10	262 0.6×	162 1.0×	276 1.8×	90 0.8×	200 2.4×	12	699

Countries citing papers authored by Viola Volpato

Since Specialization

Citations

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

Fields of papers citing papers by Viola Volpato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viola Volpato

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

All Works

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11 of 11 papers shown

Pokhilko, Alexandra, Adam E. Handel, Fabiola Curion, et al.. (2021). Targeted single-cell RNA sequencing of transcription factors enhances the identification of cell types and trajectories. Genome Research. 31(6). 1069–1081. 23 indexed citations

Meijboom, Katharina E., Viola Volpato, Jimena Monzón‐Sandoval, et al.. (2021). Combining multiomics and drug perturbation profiles to identify muscle-specific treatments for spinal muscular atrophy. JCI Insight. 6(13). 13 indexed citations

Volpato, Viola. (2021). Integration of functional genomics data to uncover cell type-specific pathways affected in Parkinson's disease. Biochemical Society Transactions. 49(5). 2091–2100. 2 indexed citations

Volpato, Viola & Caleb Webber. (2020). Addressing variability in iPSC-derived models of human disease: guidelines to promote reproducibility. Disease Models & Mechanisms. 13(1). 228 indexed citations

Agarwal, Devika, Cynthia Sandor, Viola Volpato, et al.. (2020). A single-cell atlas of the human substantia nigra reveals cell-specific pathways associated with neurological disorders. Nature Communications. 11(1). 4183–4183. 187 indexed citations

Phillips, Tom J., Ying Sze, Alessio Alfieri, et al.. (2020). Maternal antioxidant treatment prevents the adverse effects of prenatal stress on the offspring's brain and behavior. Neurobiology of Stress. 13. 100281–100281. 28 indexed citations

Cherubini, Marta, Hugo J. R. Fernandes, Charmaine Lang, et al.. (2019). Cellular α-synuclein pathology is associated with bioenergetic dysfunction in Parkinson’s iPSC-derived dopamine neurons. Human Molecular Genetics. 28(12). 2001–2013. 103 indexed citations

Volpato, Viola, Badr M. Al-Shomrani, & Gianluca Pollastri. (2015). Accurate Ab Initio and Template-Based Prediction of Short Intrinsically-Disordered Regions by Bidirectional Recurrent Neural Networks Trained on Large-Scale Datasets. International Journal of Molecular Sciences. 16(8). 19868–19885. 2 indexed citations

Volpato, Viola, et al.. (2013). Accurate prediction of protein enzymatic class by N-to-1 Neural Networks. BMC Bioinformatics. 14(S1). S11–S11. 31 indexed citations

10.

Volpato, Viola, et al.. (2013). SCLpredT: Ab initio and homology-based prediction of subcellular localization by N-to-1 neural networks. SpringerPlus. 2(1). 502–502. 12 indexed citations

11.

Tuana, Giacomo, Viola Volpato, Paola Ricciardi‐Castagnoli, et al.. (2011). Classification of dendritic cell phenotypes from gene expression data. BMC Immunology. 12(1). 50–50. 7 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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