Carla Argentini

1.3k total citations
17 papers, 1.0k citations indexed

About

Carla Argentini is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Carla Argentini has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Neurology. Recurrent topics in Carla Argentini's work include Muscle Physiology and Disorders (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Congenital heart defects research (2 papers). Carla Argentini is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Congenital heart defects research (2 papers). Carla Argentini collaborates with scholars based in Italy, United States and Germany. Carla Argentini's co-authors include Stefano Schiaffino, Massimo Barbierato, Stephen D. Skaper, Pietro Giusti, Laura Facci, Giorgia Pallafacchina, Carlo Reggiani, Carla Marinelli, Xiaopeng Li and Lars Edström and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Scientific Reports.

In The Last Decade

Carla Argentini

17 papers receiving 984 citations

Peers

Carla Argentini

PHYSI

NEURO

IMMUN

CMN

Lixian Xu China

Lidia Yshii Brazil

Christian S. Fahlman United States

Theodore P. Braun United States

Alejandro Villarreal Argentina

Jerzy Jochem Poland

Takeshi Yagi Japan

Cheng Ni China

Atsushi Takaki Japan

Lixian Xu China

Carla Argentini

356 ×0.7

327 ×1.4

PHYSI

266 ×1.7

NEURO

149 ×1.2

IMMUN

261 ×2.3

CMN

Citations per year, relative to Carla Argentini Carla Argentini (= 1×) peers Lixian Xu

Countries citing papers authored by Carla Argentini

Since Specialization

Citations

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

Fields of papers citing papers by Carla Argentini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Argentini

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

All Works

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17 of 17 papers shown

Lorenzi, Ersilia De, Francesca Seghetti, Andrea Tarozzi, et al.. (2023). Targeting the multifaceted neurotoxicity of Alzheimer's disease by tailored functionalisation of the curcumin scaffold. European Journal of Medicinal Chemistry. 252. 115297–115297. 9 indexed citations

Piovan, Anna, Raffaella Filippini, Carla Argentini, et al.. (2022). The Effect of C-Phycocyanin on Microglia Activation Is Mediated by Toll-like Receptor 4. International Journal of Molecular Sciences. 23(3). 1440–1440. 12 indexed citations

Piovan, Anna, Raffaella Filippini, Laura Facci, et al.. (2021). Pre- and Early Post-treatment With Arthrospira platensis (Spirulina) Extract Impedes Lipopolysaccharide-triggered Neuroinflammation in Microglia. Frontiers in Pharmacology. 12. 724993–724993. 23 indexed citations

Barbierato, Massimo, Laura Facci, Carla Marinelli, et al.. (2015). Co-ultramicronized Palmitoylethanolamide/Luteolin Promotes the Maturation of Oligodendrocyte Precursor Cells. Scientific Reports. 5(1). 16676–16676. 30 indexed citations

Dyar, Kenneth A., Stefano Ciciliot, Guidantonio Malagoli Tagliazucchi, et al.. (2015). The calcineurin-NFAT pathway controls activity-dependent circadian gene expression in slow skeletal muscle. Molecular Metabolism. 4(11). 823–833. 57 indexed citations

Facci, Laura, Massimo Barbierato, Carla Marinelli, et al.. (2014). Toll-Like Receptors 2, -3 and -4 Prime Microglia but not Astrocytes Across Central Nervous System Regions for ATP-Dependent Interleukin-1β Release. Scientific Reports. 4(1). 6824–6824. 102 indexed citations

Barbierato, Massimo, Laura Facci, Carla Argentini, et al.. (2013). Astrocyte-Microglia Cooperation in the Expression of a Pro-Inflammatory Phenotype. CNS & Neurological Disorders - Drug Targets. 12(5). 608–618. 65 indexed citations

Skaper, Stephen D., Carla Argentini, & Massimo Barbierato. (2012). Culture of Neonatal Rodent Microglia, Astrocytes, and Oligodendrocytes from Cortex and Spinal Cord. Methods in molecular biology. 846. 67–77. 30 indexed citations

Barbierato, Massimo, Carla Argentini, & Stephen D. Skaper. (2012). Indirect Immunofluorescence Staining of Cultured Neural Cells. Methods in molecular biology. 846. 235–246. 4 indexed citations

10.

Rossi, A., Cristina Mammucari, Carla Argentini, Carlo Reggiani, & Stefano Schiaffino. (2009). Two novel/ancient myosins in mammalian skeletal muscles: MYH14/7b and MYH15 are expressed in extraocular muscles and muscle spindles. The Journal of Physiology. 588(2). 353–364. 115 indexed citations

11.

Tóthová, Jana D’Amato, Bert Blaauw, Giorgia Pallafacchina, et al.. (2006). NFATc1 nucleocytoplasmic shuttling is controlled by nerve activity in skeletal muscle. Journal of Cell Science. 119(8). 1604–1611. 76 indexed citations

12.

McCullagh, Karl J. A., Elisa Calabria, Giorgia Pallafacchina, et al.. (2004). NFAT is a nerve activity sensor in skeletal muscle and controls activity-dependent myosin switching. Proceedings of the National Academy of Sciences. 101(29). 10590–10595. 176 indexed citations

13.

Sandri, Claudia, Raffaella Di Lisi, Anne Picard, et al.. (2004). Heart morphogenesis is not affected by overexpression of the Sh3bgr gene mapping to the Down syndrome heart critical region. Human Genetics. 114(5). 517–519. 7 indexed citations

14.

Larsson, Lars, Xiaopeng Li, Lars Edström, et al.. (2000). Acute quadriplegia and loss of muscle myosin in patients treated with nondepolarizing neuromuscular blocking agents and corticosteroids: Mechanisms at the cellular and molecular levels. Critical Care Medicine. 28(1). 34–45. 178 indexed citations

15.

Colombatti, Alfonso, Roberto Doliana, Mónica Schiappacassi, et al.. (1998). Age-Related Persistent Clonal Expansions of CD28−Cells: Phenotypic and Molecular TCR Analysis Reveals both CD4+and CD4+CD8+Cells with Identical CDR3 Sequences. Clinical Immunology and Immunopathology. 89(1). 61–70. 49 indexed citations

16.

Jerković, Romana, et al.. (1997). Early Myosin Switching Induced by Nerve Activity in Regenerating Slow Skeletal Muscle.. Cell Structure and Function. 22(1). 147–153. 61 indexed citations

17.

Doliana, Roberto, Carla Argentini, Daniela Segat, et al.. (1994). The prolactin of European sea bass (Dicentrarchus labrax L.): cloning of cDNA and efficient expression in Escherichia coli.. PubMed. 33(6). 1117–26. 8 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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