Anna Di Bona

484 total citations
17 papers, 180 citations indexed

About

Anna Di Bona is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Anna Di Bona has authored 17 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Anna Di Bona's work include Cardiovascular Effects of Exercise (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neural Engineering (4 papers). Anna Di Bona is often cited by papers focused on Cardiovascular Effects of Exercise (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neural Engineering (4 papers). Anna Di Bona collaborates with scholars based in Italy, United States and United Kingdom. Anna Di Bona's co-authors include Tania Zaglia, Marco Mongillo, Cristina Basso, Irene Costantini, Attilio Ignazio Lo Monte, Giuseppe Buscemi, Mauro Franzoso, Maria Concetta Gioviale, G. Gambino and Stefania Rizzo and has published in prestigious journals such as The Journal of Physiology, International Journal of Molecular Sciences and European Heart Journal.

In The Last Decade

Anna Di Bona

15 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Di Bona Italy 9 90 52 38 37 27 17 180
Ryosuke Kametani Japan 8 104 1.2× 41 0.8× 16 0.4× 24 0.6× 26 1.0× 20 211
Jerremy Weerts Netherlands 8 139 1.5× 26 0.5× 21 0.6× 24 0.6× 25 0.9× 34 269
CH Fry United Kingdom 10 132 1.5× 169 3.3× 36 0.9× 37 1.0× 22 0.8× 29 432
Kirk W. Evanson United States 10 74 0.8× 118 2.3× 40 1.1× 31 0.8× 29 1.1× 14 252
A. Raaijmakers Australia 10 194 2.2× 127 2.4× 37 1.0× 43 1.2× 9 0.3× 20 335
Taishi Fujisawa Japan 8 121 1.3× 57 1.1× 24 0.6× 72 1.9× 35 1.3× 33 271
Carolina Ierardi Italy 8 201 2.2× 39 0.8× 40 1.1× 55 1.5× 16 0.6× 18 285
Steve Chryssidis Australia 8 22 0.2× 26 0.5× 26 0.7× 17 0.5× 21 0.8× 15 197
Guillaume Duthoit France 9 129 1.4× 52 1.0× 10 0.3× 33 0.9× 13 0.5× 18 210
J. David Holtzclaw United States 10 54 0.6× 263 5.1× 35 0.9× 15 0.4× 82 3.0× 12 359

Countries citing papers authored by Anna Di Bona

Since Specialization
Citations

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

Fields of papers citing papers by Anna Di Bona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Di Bona. 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 Anna Di Bona. The network helps show where Anna Di Bona may publish in the future.

Co-authorship network of co-authors of Anna Di Bona

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

All Works

17 of 17 papers shown
1.
Bona, Anna Di, Stephen P. Chelko, Domenico Corrado, et al.. (2024). Cardiac sympathetic neurons are additional cells affected in genetically determined arrhythmogenic cardiomyopathy. The Journal of Physiology. 603(7). 1959–1982. 2 indexed citations
2.
Moro, Nicola, Anna Di Bona, Riccardo Bariani, et al.. (2022). Neurotoxic Effect of Doxorubicin Treatment on Cardiac Sympathetic Neurons. International Journal of Molecular Sciences. 23(19). 11098–11098. 14 indexed citations
3.
Franzoso, Mauro, Anna Di Bona, Nicola Moro, et al.. (2022). Nerve growth factor transfer from cardiomyocytes to innervating sympathetic neurons activates TrkA receptors at the neuro‐cardiac junction. The Journal of Physiology. 600(12). 2853–2875. 17 indexed citations
4.
Bona, Anna Di, Irene Costantini, Stefania Rizzo, et al.. (2022). Novel view of arrhythmogenic cardiomyopathy as a “multicellular disease” affecting cardiac sympathetic innervation. Journal of Molecular and Cellular Cardiology. 173. S27–S27.
5.
Bona, Anna Di, Riccardo Bariani, Nicolas Kuperwasser, et al.. (2021). Generation and phenotyping of a novel knock-in mouse model of desmoplakin dependent arrhythmogenic cardiomyopathy. European Heart Journal. 42(Supplement_1). 1 indexed citations
6.
Stadiotti, Ilaria, Anna Di Bona, Anna Guarino, et al.. (2021). Neuropeptide Y promotes adipogenesis of human cardiac mesenchymal stromal cells in arrhythmogenic cardiomyopathy. International Journal of Cardiology. 342. 94–102. 11 indexed citations
7.
Angioni, Roberta, Anna Di Bona, Mattia Albiero, et al.. (2021). Arrhythmogenic Cardiomyopathy Is a Multicellular Disease Affecting Cardiac and Bone Marrow Mesenchymal Stromal Cells. Journal of Clinical Medicine. 10(9). 1871–1871. 8 indexed citations
8.
Müllenbroich, Marie Caroline, Allen Kelly, Corey D. Acker, et al.. (2021). Novel Optics-Based Approaches for Cardiac Electrophysiology: A Review. Frontiers in Physiology. 12. 769586–769586. 11 indexed citations
9.
Favaro, Giulia, Michele Guescini, Vittoria Di Mauro, et al.. (2020). Circulating muscle-derived MIR-206 links skeletal muscle dysfunction to cardiac autonomic denervation. Vascular Pharmacology. 132. 106742–106742. 1 indexed citations
10.
Mongillo, Marco, Mauro Franzoso, Anna Di Bona, et al.. (2020). The neuro-cardiac junction defines an extracellular microdomain required for neurotrophic signaling. European Heart Journal. 41(Supplement_2). 1 indexed citations
11.
Bona, Anna Di, et al.. (2019). Towards a clearer view of sympathetic innervation of cardiac and skeletal muscles. Progress in Biophysics and Molecular Biology. 154. 80–93. 19 indexed citations
12.
Zaglia, Tania, Anna Di Bona, & Marco Mongillo. (2019). A Light Wand to Untangle the Myocardial Cell Network. Methods and Protocols. 2(2). 34–34. 5 indexed citations
13.
Pianca, Nicola, Anna Di Bona, Irene Costantini, et al.. (2019). Cardiac sympathetic innervation network shapes the myocardium by locally controlling cardiomyocyte size through the cellular proteolytic machinery. The Journal of Physiology. 597(14). 3639–3656. 37 indexed citations
14.
Zaglia, Tania, et al.. (2016). Optimized protocol for immunostaining of experimental GFP-expressing and human hearts. Histochemistry and Cell Biology. 146(4). 407–419. 15 indexed citations
15.
Gioviale, Maria Concetta, G. Gambino, Enrique Luna, et al.. (2006). Intraoperative Parathyroid Hormone Monitoring During Parathyroidectomy for Hyperparathyroidism in Waiting List and Kidney Transplant Patients. Transplantation Proceedings. 38(4). 1003–1005. 13 indexed citations
16.
Gambino, G., Maria Concetta Gioviale, Anna Di Bona, et al.. (2006). Use of Marginal Donors in Kidney Transplantation: Our Experience. Transplantation Proceedings. 38(4). 999–1000. 8 indexed citations
17.
Gambino, G., Anna Di Bona, Giuseppe Damiano, et al.. (2006). PTFE Mesh in Renal Allograft Compartment Syndrome. Transplantation Proceedings. 38(4). 1049–1050. 17 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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