Antonio Piras

5.3k total citations
18 papers, 1.0k citations indexed

About

Antonio Piras is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Antonio Piras has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Antonio Piras's work include Autophagy in Disease and Therapy (6 papers), Alzheimer's disease research and treatments (5 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Antonio Piras is often cited by papers focused on Autophagy in Disease and Therapy (6 papers), Alzheimer's disease research and treatments (5 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Antonio Piras collaborates with scholars based in Italy, Sweden and United States. Antonio Piras's co-authors include Alessandro Vercelli, Raffaele Nuzzi, Caroline Graff, Fiona Grüninger, Annica Rönnbäck, Ludovic Collin, Marina Boido, Valeria Valsecchi, Michela Guglielmotto and Elena Tamagno and has published in prestigious journals such as PLoS ONE, Progress in Neurobiology and Autophagy.

In The Last Decade

Antonio Piras

18 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Piras Italy 13 441 310 224 213 181 18 1.0k
Song Han China 20 501 1.1× 92 0.3× 169 0.8× 48 0.2× 139 0.8× 64 1.1k
Natalia Rodríguez‐Muela Spain 17 840 1.9× 359 1.2× 811 3.6× 292 1.4× 203 1.1× 23 1.8k
Deepti Navaratna United States 11 347 0.8× 76 0.2× 125 0.6× 117 0.5× 47 0.3× 12 883
Elisa Dominguez France 13 531 1.2× 284 0.9× 32 0.1× 434 2.0× 235 1.3× 14 1.4k
Marie‐Hélène Canron France 17 413 0.9× 313 1.0× 161 0.7× 59 0.3× 35 0.2× 28 1.3k
C. Henrique Alves Netherlands 19 918 2.1× 135 0.4× 128 0.6× 301 1.4× 20 0.1× 44 1.3k
Stine Mencl Germany 15 366 0.8× 73 0.2× 112 0.5× 54 0.3× 43 0.2× 24 746
Sou Sugitani Japan 12 285 0.6× 57 0.2× 62 0.3× 82 0.4× 79 0.4× 12 525
Ruslan Rust Switzerland 17 294 0.7× 124 0.4× 113 0.5× 25 0.1× 92 0.5× 49 974
MinHee K. Ko United States 16 440 1.0× 310 1.0× 32 0.1× 393 1.8× 49 0.3× 39 1.2k

Countries citing papers authored by Antonio Piras

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Piras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Piras

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

All Works

18 of 18 papers shown
1.
Gereñu, Gorka, Julen Goikolea, Hugo Balleza‐Tapia, et al.. (2024). Impaired astrocytic synaptic function by peripheral cholesterol metabolite 27-hydroxycholesterol. Frontiers in Cellular Neuroscience. 18. 1347535–1347535. 3 indexed citations
2.
Radwańska, Agata, Christopher T. Cottage, Antonio Piras, et al.. (2022). Increased expression and accumulation of GDF15 in IPF extracellular matrix contribute to fibrosis. JCI Insight. 7(16). 37 indexed citations
3.
Leal, Nuno Santos, Giacomo Dentoni, Bernadette Schreiner, et al.. (2020). Amyloid β-Peptide Increases Mitochondria-Endoplasmic Reticulum Contact Altering Mitochondrial Function and Autophagosome Formation in Alzheimer’s Disease-Related Models. Cells. 9(12). 2552–2552. 56 indexed citations
4.
Tikka, Saara, et al.. (2018). Autophagy-lysosomal defect in human CADASIL vascular smooth muscle cells. European Journal of Cell Biology. 97(8). 557–567. 20 indexed citations
5.
Piras, Antonio & Marina Boido. (2018). Autophagy inhibition: a new therapeutic target in spinal muscular atrophy. Neural Regeneration Research. 13(5). 813–813. 7 indexed citations
6.
Loera‐Valencia, Raúl, Antonio Piras, Muhammad-Al-Mustafa Ismail, et al.. (2018). Targeting Alzheimer's disease with gene and cell therapies. Journal of Internal Medicine. 284(1). 2–36. 46 indexed citations
7.
Piras, Antonio, Lorenzo Schiaffino, Marina Boido, et al.. (2017). Inhibition of autophagy delays motoneuron degeneration and extends lifespan in a mouse model of spinal muscular atrophy. Cell Death and Disease. 8(12). 3223–3223. 41 indexed citations
8.
Piras, Antonio, Ludovic Collin, Fiona Grüninger, Caroline Graff, & Annica Rönnbäck. (2016). Autophagic and lysosomal defects in human tauopathies: analysis of post-mortem brain from patients with familial Alzheimer disease, corticobasal degeneration and progressive supranuclear palsy. Acta Neuropathologica Communications. 4(1). 22–22. 190 indexed citations
9.
Valsecchi, Valeria, et al.. (2015). Expression of Muscle-Specific MiRNA 206 in the Progression of Disease in a Murine SMA Model. PLoS ONE. 10(6). e0128560–e0128560. 57 indexed citations
10.
Guglielmotto, Michela, Debora Monteleone, Antonio Piras, et al.. (2014). Aβ1-42 monomers or oligomers have different effects on autophagy and apoptosis. Autophagy. 10(10). 1827–1843. 70 indexed citations
11.
Boido, Marina, Antonio Piras, Valeria Valsecchi, et al.. (2014). Human mesenchymal stromal cell transplantation modulates neuroinflammatory milieu in a mouse model of amyotrophic lateral sclerosis. Cytotherapy. 16(8). 1059–1072. 77 indexed citations
12.
d’Errico, Paolo, Marina Boido, Antonio Piras, et al.. (2013). Selective Vulnerability of Spinal and Cortical Motor Neuron Subpopulations in delta7 SMA Mice. PLoS ONE. 8(12). e82654–e82654. 40 indexed citations
13.
Valsecchi, Valeria, Marina Boido, Antonio Piras, Giada Spigolon, & Alessandro Vercelli. (2013). Motor and molecular analysis to detect the early symptoms in a mouse amyotrophic lateral sclerosis model. Health. 5(10). 1712–1718. 3 indexed citations
14.
Lauritano, D, Francesco Carinci, Annalisa Palmieri, et al.. (2012). Osteoplant (r) acts on stem cells derived from bone marrow inducing osteoblasts differentiation. European Journal of Inflammation. 10. 89–94. 2 indexed citations
15.
Lauritano, D, Francesco Carinci, Annalisa Palmieri, et al.. (2012). Osteobiol (r) enhances osteogenic differentiation in bone marrow derived stem cells. European Journal of Inflammation. 10. 83–88. 3 indexed citations
16.
Guglielmotto, Michela, Debora Monteleone, Marina Boido, et al.. (2012). Aβ1‐42‐mediated down‐regulation of Uch‐L1 is dependent on NF‐κB activation and impaired BACE1 lysosomal degradation. Aging Cell. 11(5). 834–844. 56 indexed citations
17.
Piras, Antonio, et al.. (2011). Age related macular degeneration and drusen: Neuroinflammation in the retina. Progress in Neurobiology. 95(1). 14–25. 189 indexed citations
18.
Piras, Antonio, et al.. (2011). Activation of Autophagy in a Rat Model of Retinal Ischemia following High Intraocular Pressure. PLoS ONE. 6(7). e22514–e22514. 107 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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