Maria Grazia D’Angelo

6.6k total citations
123 papers, 2.9k citations indexed

About

Maria Grazia D’Angelo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maria Grazia D’Angelo has authored 123 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 25 papers in Cellular and Molecular Neuroscience and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maria Grazia D’Angelo's work include Muscle Physiology and Disorders (44 papers), Genetic Neurodegenerative Diseases (17 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers). Maria Grazia D’Angelo is often cited by papers focused on Muscle Physiology and Disorders (44 papers), Genetic Neurodegenerative Diseases (17 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers). Maria Grazia D’Angelo collaborates with scholars based in Italy, United States and Austria. Maria Grazia D’Angelo's co-authors include Nereo Bresolin, Andréa Aliverti, Anna Carla Turconi, Antonella LoMauro, M. Romei, Giacomo P. Comi, A. Pedotti, S. Gandossini, A. Lo Mauro and Maria Teresa Bassi and has published in prestigious journals such as The Lancet, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Maria Grazia D’Angelo

116 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Grazia D’Angelo Italy 32 1.4k 535 527 412 371 123 2.9k
Jean K. Mah Canada 30 1.7k 1.2× 280 0.5× 429 0.8× 180 0.4× 257 0.7× 108 3.1k
Michelle Eagle United Kingdom 31 2.8k 1.9× 602 1.1× 896 1.7× 284 0.7× 382 1.0× 64 3.9k
Jong‐Hee Chae South Korea 33 1.4k 1.0× 451 0.8× 355 0.7× 196 0.5× 226 0.6× 258 3.6k
Marika Pane Italy 36 2.5k 1.7× 541 1.0× 1.6k 3.0× 199 0.5× 894 2.4× 127 3.9k
Monique M. Ryan Australia 36 1.7k 1.2× 1.2k 2.2× 945 1.8× 245 0.6× 581 1.6× 207 4.1k
Margarete Arras Switzerland 32 1.4k 1.0× 444 0.8× 165 0.3× 173 0.4× 658 1.8× 81 3.7k
Julien Ochala United Kingdom 28 1.9k 1.3× 282 0.5× 282 0.5× 145 0.4× 198 0.5× 95 3.2k
Jiri Vajsar Canada 23 1.4k 1.0× 413 0.8× 795 1.5× 111 0.3× 418 1.1× 69 3.1k
Erik Henricson United States 23 1.8k 1.2× 256 0.5× 461 0.9× 84 0.2× 176 0.5× 70 2.4k
Gisela Stoltenburg‐Didinger Germany 27 994 0.7× 374 0.7× 280 0.5× 223 0.5× 274 0.7× 106 2.6k

Countries citing papers authored by Maria Grazia D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Maria Grazia D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Grazia D’Angelo. 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 Maria Grazia D’Angelo. The network helps show where Maria Grazia D’Angelo may publish in the future.

Co-authorship network of co-authors of Maria Grazia D’Angelo

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

All Works

20 of 20 papers shown
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Peruzzo, Denis, Sara Mascheretti, Valentina Lampis, et al.. (2024). Brain Alteration Patterns in Children with Duchenne Muscular Dystrophy: A Machine Learning Approach to Magnetic Resonance Imaging. Journal of Neuromuscular Diseases. 13(1). 121–132. 3 indexed citations
3.
Mastropietro, Alfonso, et al.. (2024). Classification of Muscular Dystrophies from MR Images Improves Using the Swin Transformer Deep Learning Model. Bioengineering. 11(6). 580–580. 3 indexed citations
4.
Varricchio, Silvia, Gennaro Ilardi, Maria Grazia D’Angelo, et al.. (2024). A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma. Pathologica. 116(6). 379–389. 1 indexed citations
5.
Urgesi, Cosimo, et al.. (2023). Is Social Training Delivered with a Head-Mounted Display Suitable for Patients with Hereditary Ataxia?. Brain Sciences. 13(7). 1017–1017. 2 indexed citations
6.
Brogna, Claudia, Marika Pane, Giorgia Coratti, et al.. (2023). Upper Limb Changes in DMD Patients Amenable to Skipping Exons 44, 45, 51 and 53: A 24-Month Study. Children. 10(4). 746–746. 2 indexed citations
7.
Antonietti, Alberto, Emilia Biffi, Maria Grazia D’Angelo, et al.. (2021). User-centred assistive SystEm for arm Functions in neUromuscuLar subjects (USEFUL): a randomized controlled study. Journal of NeuroEngineering and Rehabilitation. 18(1). 4–4. 20 indexed citations
8.
Gandolla, Marta, Maria Grazia D’Angelo, Emilia Biffi, et al.. (2021). An assistive upper-limb exoskeleton controlled by multi-modal interfaces for severely impaired patients: development and experimental assessment. Robotics and Autonomous Systems. 143. 103822–103822. 20 indexed citations
9.
Gandolla, Marta, Alberto Antonietti, Emilia Biffi, et al.. (2020). Test-retest reliability of the Performance of Upper Limb (PUL) module for muscular dystrophy patients. PLoS ONE. 15(9). e0239064–e0239064. 15 indexed citations
10.
Buyse, Gunnar, Thomas Voït, Ulrike Schara, et al.. (2016). Treatment effect of idebenone on inspiratory function in patients with Duchenne muscular dystrophy. Pediatric Pulmonology. 52(4). 508–515. 33 indexed citations
11.
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Arnoldi, Alessia, Claudia Crimella, Erika Tenderini, et al.. (2011). Clinical phenotype variability in patients with hereditary spastic paraplegia type 5 associated with CYP7B1 mutations. Clinical Genetics. 81(2). 150–157. 31 indexed citations
13.
Crimella, Claudia, A. Tonelli, Giovanni Airoldi, et al.. (2010). The GST domain of GDAP1 is a frequent target of mutations in the dominant form of axonal Charcot Marie Tooth type 2K. Journal of Medical Genetics. 47(10). 712–716. 40 indexed citations
14.
D’Angelo, Maria Grazia, Luigi Piccinini, M. Romei, et al.. (2008). Gait pattern in Duchenne muscular dystrophy. Gait & Posture. 29(1). 36–41. 88 indexed citations
15.
Guiglia, Rosario, Chiara Di Liberto, Giuseppe Pizzo, et al.. (2007). A combined treatment regimen for desquamative gingivitis in patients with oral lichen planus. Journal of Oral Pathology and Medicine. 36(2). 110–116. 35 indexed citations
16.
D’Angelo, Maria Grazia, Maria Luisa Lorusso, Andrea Marini, et al.. (2007). G.P.15.08 Language and reading disorders in Duchenne muscular dystrophy: Neuropsychological assessment. Neuromuscular Disorders. 17(9-10). 866–866.
17.
Guiglia, Rosario, Giuseppina Campisi, Giuseppe Pizzo, et al.. (2007). [Periodontal disease and cardiovascular disease: correlation or simple coincidence?].. PubMed. 98(7-8). 426–32. 2 indexed citations
18.
Radovanovic, Ivan, Maria Grazia D’Angelo, & Adriano Aguzzi. (2004). Angiogenesis in transgenic models of multistep angiogenesis. Cancer treatment and research. 97–114. 3 indexed citations
19.
D’Angelo, Maria Grazia, Tatiana A. Afanasieva, & Adriano Aguzzi. (2000). Angiogenesis in Transgenic Models of Multistep Carcinogenesis. Journal of Neuro-Oncology. 50(1-2). 89–98. 11 indexed citations
20.
D’Angelo, Maria Grazia, et al.. (1984). [Plasma cell gingivitis with zone extention. Clinical, ultrastructural and immunohistologic study].. PubMed. 2(4). 43–7. 1 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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