Noemi Tonna

570 total citations
19 papers, 457 citations indexed

About

Noemi Tonna is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Noemi Tonna has authored 19 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Biomedical Engineering. Recurrent topics in Noemi Tonna's work include Neuroscience and Neuropharmacology Research (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and 3D Printing in Biomedical Research (3 papers). Noemi Tonna is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and 3D Printing in Biomedical Research (3 papers). Noemi Tonna collaborates with scholars based in Italy, Switzerland and United States. Noemi Tonna's co-authors include Fabio Bianco, Carlo Sala, Emmanuel Delamarche, Robert D. Lovchik, Michela Matteoli, Stefano Romorini, Giovanni Piccoli, Ming Jiang, Silvana Beri and Mingjie Zhang and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Analytical Chemistry.

In The Last Decade

Noemi Tonna

19 papers receiving 452 citations

Peers

Noemi Tonna
Thomas F. Allison United Kingdom
Molly Karl United States
Nil Emre United States
Lidia Tagliafierro United States
Daniel C. Factor United States
Jin-Chong Xu United States
Noemi Tonna
Citations per year, relative to Noemi Tonna Noemi Tonna (= 1×) peers Momoko Watanabe

Countries citing papers authored by Noemi Tonna

Since Specialization
Citations

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

Fields of papers citing papers by Noemi Tonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noemi Tonna

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

All Works

19 of 19 papers shown
1.
Farini, Andrea, D. Parolini, Noemi Tonna, et al.. (2019). Blockade of IGF2R improves muscle regeneration and ameliorates Duchenne muscular dystrophy. EMBO Molecular Medicine. 12(1). e11019–e11019. 31 indexed citations
2.
Lattuada, Donatella, C. Corradini, Francesca Ingegnoli, et al.. (2018). Anti-inflammatory Effect of Somatostatin Analogue Octreotide on Rheumatoid Arthritis Synoviocytes. Inflammation. 41(5). 1648–1660. 15 indexed citations
3.
Storini, Claudio, Cecilia Diceglie, Cristina Martelli, et al.. (2017). Mesenchymal stem cells from tumor microenvironment favour breast cancer stem cell proliferation, cancerogenic and metastatic potential, via ionotropic purinergic signalling. Scientific Reports. 7(1). 13162–13162. 51 indexed citations
4.
Buccarello, Lucia, Alessandra Sclip, Pellegrino Lippiello, et al.. (2017). Evidence of Presynaptic Localization and Function of the c-Jun N-Terminal Kinase. Neural Plasticity. 2017. 1–14. 20 indexed citations
5.
Tonna, Noemi, et al.. (2017). Characterization of a Monoclonal Antibody Specific for the Growth Hormone Secretagogue Receptor. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 36(2). 37–43. 3 indexed citations
6.
Vercelli, Alessandro, Alessandra Sclip, Simone Tomasi, et al.. (2015). Exploring the role of MKK7 in excitotoxicity and cerebral ischemia: a novel pharmacological strategy against brain injury. Cell Death and Disease. 6(8). e1854–e1854. 29 indexed citations
7.
Lattuada, Donatella, Noemi Tonna, Claudio Storini, et al.. (2014). Optimized “In Vitro” Culture Conditions for Human Rheumatoid Arthritis Synovial Fibroblasts. Mediators of Inflammation. 2014. 1–9. 21 indexed citations
8.
Tonna, Noemi, Fabio Bianco, Michela Matteoli, et al.. (2014). A soluble biocompatible guanidine-containing polyamidoamine as promoter of primary brain cell adhesion andin vitrocell culturing. Science and Technology of Advanced Materials. 15(4). 45007–45007. 16 indexed citations
9.
Lattuada, Donatella, Noemi Tonna, Roberta Benfante, et al.. (2013). The Expression of GHS-R in Primary Neurons Is Dependent upon Maturation Stage and Regional Localization. PLoS ONE. 8(6). e64183–e64183. 18 indexed citations
10.
Bossio, Caterina, Raffaella Morini, Noemi Tonna, et al.. (2013). A Simple Method to Generate Adipose Stem Cell-Derived Neurons for Screening Purposes. Journal of Molecular Neuroscience. 51(2). 274–281. 10 indexed citations
11.
Delamarche, Emmanuel, Noemi Tonna, Robert D. Lovchik, Fabio Bianco, & Michela Matteoli. (2013). Pharmacology on microfluidics: multimodal analysis for studying cell–cell interaction. Current Opinion in Pharmacology. 13(5). 821–828. 10 indexed citations
12.
Tunesi, Marta, Caterina Bossio, Noemi Tonna, et al.. (2013). Mesenchymal Stem Cell Differentiation on Electrochemically Modified Titanium: An Optimized Approach for Biomedical Applications. Journal of Applied Biomaterials & Functional Materials. 11(1). 9–17. 1 indexed citations
13.
Bianco, Fabio, Noemi Tonna, Robert D. Lovchik, et al.. (2012). Overflow Microfluidic Networks: Application to the Biochemical Analysis of Brain Cell Interactions in Complex Neuroinflammatory Scenarios. Analytical Chemistry. 84(22). 9833–9840. 25 indexed citations
14.
Parolini, D., Letizia Cassinelli, P. Razini, et al.. (2012). Expression of CD20 reveals a new store-operated calcium entry modulator in skeletal muscle. The International Journal of Biochemistry & Cell Biology. 44(12). 2095–2105. 10 indexed citations
15.
Lovchik, Robert D., Fabio Bianco, Noemi Tonna, et al.. (2010). Overflow Microfluidic Networks for Open and Closed Cell Cultures on Chip. Analytical Chemistry. 82(9). 3936–3942. 18 indexed citations
16.
Lovchik, Robert D., Noemi Tonna, Fabio Bianco, Michela Matteoli, & Emmanuel Delamarche. (2009). A microfluidic device for depositing and addressing two cell populations with intercellular population communication capability. Biomedical Microdevices. 12(2). 275–282. 18 indexed citations
17.
Beri, Silvana, Noemi Tonna, Giorgia Menozzi, et al.. (2007). DNA methylation regulates tissue‐specific expression of Shank3. Journal of Neurochemistry. 101(5). 1380–1391. 55 indexed citations
18.
Piccoli, Giovanni, Chiara Verpelli, Noemi Tonna, et al.. (2007). Proteomic Analysis of Activity-Dependent Synaptic Plasticity in Hippocampal Neurons. Journal of Proteome Research. 6(8). 3203–3215. 36 indexed citations
19.
Romorini, Stefano, Giovanni Piccoli, Ming Jiang, et al.. (2004). A Functional Role of Postsynaptic Density-95-Guanylate Kinase-Associated Protein Complex in Regulating Shank Assembly and Stability to Synapses. Journal of Neuroscience. 24(42). 9391–9404. 70 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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