Chiara Doneda

908 total citations
40 papers, 508 citations indexed

About

Chiara Doneda is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Chiara Doneda has authored 40 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pediatrics, Perinatology and Child Health, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Genetics. Recurrent topics in Chiara Doneda's work include Fetal and Pediatric Neurological Disorders (19 papers), Prenatal Screening and Diagnostics (10 papers) and Neonatal and fetal brain pathology (9 papers). Chiara Doneda is often cited by papers focused on Fetal and Pediatric Neurological Disorders (19 papers), Prenatal Screening and Diagnostics (10 papers) and Neonatal and fetal brain pathology (9 papers). Chiara Doneda collaborates with scholars based in Italy, Netherlands and India. Chiara Doneda's co-authors include Cecilia Parazzini, Fabio Triulzi, Andrea Righini, Filippo Arrigoni, Mariangela Rustico, Dario Consonni, Thomas J. Re, Luca A. Ramenghi, Mariano Lanna and Elisa Fabbri and has published in prestigious journals such as NeuroImage, Radiology and American Journal of Roentgenology.

In The Last Decade

Chiara Doneda

38 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Doneda Italy 14 312 87 78 69 68 40 508
B. Deloison France 16 478 1.5× 156 1.8× 69 0.9× 37 0.5× 84 1.2× 31 686
Muriel Brun France 8 171 0.5× 36 0.4× 29 0.4× 54 0.8× 54 0.8× 14 402
Mehrzad Mehdizadeh Iran 8 75 0.2× 48 0.6× 40 0.5× 58 0.8× 97 1.4× 43 333
G. Pastore Italy 10 186 0.6× 20 0.2× 46 0.6× 31 0.4× 69 1.0× 17 368
E. Contro Italy 16 598 1.9× 38 0.4× 67 0.9× 76 1.1× 144 2.1× 45 821
Phua Hwee Tang Singapore 9 120 0.4× 47 0.5× 25 0.3× 16 0.2× 54 0.8× 36 339
Charles M. Elkin United States 9 82 0.3× 42 0.5× 78 1.0× 33 0.5× 70 1.0× 13 336
Lisa R. Sun United States 15 83 0.3× 24 0.3× 219 2.8× 50 0.7× 25 0.4× 57 571
D.R. Hartge Germany 10 158 0.5× 34 0.4× 107 1.4× 36 0.5× 116 1.7× 32 318
Sukalaya Lerdlum Thailand 13 51 0.2× 48 0.6× 159 2.0× 296 4.3× 72 1.1× 35 828

Countries citing papers authored by Chiara Doneda

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Doneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Doneda

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Doneda. A scholar is included among the top collaborators of Chiara Doneda 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 Chiara Doneda. Chiara Doneda 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
1.
Faiola, S., Chiara Doneda, Arianna Laoreti, et al.. (2025). Neurodevelopmental Outcome in Isolated Vermian Hypoplasia: A Single-Center Retrospective Cohort Study and Literature Review. The Cerebellum. 24(3). 64–64.
2.
Cattaneo, Elisa, Luigina Spaccini, Maria Iascone, et al.. (2024). Novel Genetic Variant in HUWE1. Neurology Genetics. 10(4). e200169–e200169. 1 indexed citations
3.
Doneda, Chiara, Filippo Arrigoni, Lorenzo Ugga, et al.. (2024). Radiomics and artificial intelligence applications in pediatric brain tumors. World Journal of Pediatrics. 20(8). 747–763. 12 indexed citations
4.
Masnada, Silvia, Paola Anna Erba, Anna Camporesi, et al.. (2023). FDXR-associated disease: a challenging differential diagnosis with inflammatory peripheral neuropathy. Neurological Sciences. 44(9). 3037–3043. 4 indexed citations
5.
Righini, Andrea, et al.. (2023). Cutting-edge applications of fetal MR neuro-imaging in clinical routine: a pictorial essay. Neuroradiology. 65(12). 1813–1823. 1 indexed citations
6.
7.
Lanna, Mariano, Elisa Fabbri, Maurizio Zavattoni, et al.. (2021). Severe Fetal Symptomatic Infection from Human Cytomegalovirus following Nonprimary Maternal Infection: Report of Two Cases. Fetal Diagnosis and Therapy. 49(1-2). 36–40. 1 indexed citations
8.
Doneda, Chiara, et al.. (2021). Fetal thick corpus callosum: new insights from neuroimaging and neuropathology in two cases and literature review. Neuroradiology. 63(12). 2139–2148. 7 indexed citations
9.
Masnada, Silvia, Cecilia Parazzini, P Bini, et al.. (2020). Phenotypic spectrum of short-chain enoyl-Coa hydratase-1 (ECHS1) deficiency. European Journal of Paediatric Neurology. 28. 151–158. 20 indexed citations
10.
Conte, Giorgio, Silvano Milani, Giacomo Talenti, et al.. (2018). Prenatal Brain MR Imaging: Reference Linear Biometric Centiles between 20 and 24 Gestational Weeks. American Journal of Neuroradiology. 39(5). 963–967. 24 indexed citations
11.
Conte, Giorgio, Andrea Righini, Paul D. Griffiths, et al.. (2018). Brain-injured Survivors of Monochorionic Twin Pregnancies Complicated by Single Intrauterine Death: MR Findings in a Multicenter Study. Radiology. 288(2). 582–590. 19 indexed citations
12.
Talenti, Giacomo, Marco Moscatelli, Giorgio Conte, et al.. (2018). Intrauterine fetal MR versus postmortem MR imaging after therapeutic termination of pregnancy: evaluation of the concordance in the detection of brain abnormalities at early gestational stage. European Radiology. 29(6). 2740–2750. 14 indexed citations
13.
Capra, Valeria, Mariasavina Severino, Andrea Rossi, et al.. (2013). Pituitary deficiency and congenital infiltrating lipomatosis of the face in a girl with deletion of chromosome 1q24.3q31.1. American Journal of Medical Genetics Part A. 164(2). 495–499. 9 indexed citations
14.
Righini, Andrea, Cecilia Parazzini, Chiara Doneda, et al.. (2011). Fetal MRI features related to the Chiari malformations. Neurological Sciences. 32(S3). 279–281. 15 indexed citations
15.
Arrigoni, Filippo, Cecilia Parazzini, Andrea Righini, et al.. (2011). Deep Medullary Vein Involvement in Neonates with Brain Damage: An MR Imaging Study. American Journal of Neuroradiology. 32(11). 2030–2036. 43 indexed citations
16.
Righini, Andrea, Laura M. Fiori, Cecilia Parazzini, et al.. (2010). Early Prenatal Magnetic Resonance Imaging of Glutaric Aciduria Type 1. Journal of Computer Assisted Tomography. 34(3). 446–448. 4 indexed citations
17.
Doneda, Chiara, Andrea Righini, Cecilia Parazzini, et al.. (2010). Prenatal MR Imaging Detection of Deep Medullary Vein Involvement in Fetal Brain Damage. American Journal of Neuroradiology. 32(8). E146–E149. 13 indexed citations
18.
Doneda, Chiara, Cecilia Parazzini, Andrea Righini, et al.. (2010). Early Cerebral Lesions in Cytomegalovirus Infection: Prenatal MR Imaging. Radiology. 255(2). 613–621. 67 indexed citations
19.
Righini, Andrea, Cecilia Parazzini, Chiara Doneda, Filippo Arrigoni, & Fabio Triulzi. (2009). Prenatal MR Imaging of the Normal Pituitary Stalk. American Journal of Neuroradiology. 30(5). 1014–1016. 12 indexed citations
20.
Righini, Andrea, Laura Avagliano, Chiara Doneda, et al.. (2008). Prenatal magnetic resonance imaging of optic nerve head coloboma. Prenatal Diagnosis. 28(3). 242–246. 16 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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