Daniele Urso

11.9k total citations
70 papers, 581 citations indexed

About

Daniele Urso is a scholar working on Neurology, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Daniele Urso has authored 70 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Neurology, 17 papers in Psychiatry and Mental health and 13 papers in Physiology. Recurrent topics in Daniele Urso's work include Parkinson's Disease Mechanisms and Treatments (25 papers), Amyotrophic Lateral Sclerosis Research (17 papers) and Neurological disorders and treatments (15 papers). Daniele Urso is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (25 papers), Amyotrophic Lateral Sclerosis Research (17 papers) and Neurological disorders and treatments (15 papers). Daniele Urso collaborates with scholars based in Italy, United Kingdom and Spain. Daniele Urso's co-authors include Giancarlo Logroscino, К. Ray Chaudhuri, Peter Jenner, Salvatore Nigro, Valentina Gnoni, Roberto De Blasi, Daniel J. van Wamelen, Rodolfo Savica, Lucia Batzu and Marco Filardi and has published in prestigious journals such as Journal of Neuroscience, Neurology and Annals of Neurology.

In The Last Decade

Daniele Urso

57 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Urso Italy 14 310 104 80 78 75 70 581
Manuel Delgado‐Alvarado Spain 15 365 1.2× 60 0.6× 51 0.6× 92 1.2× 95 1.3× 40 640
Elham Shahinfard Canada 11 266 0.9× 45 0.4× 111 1.4× 94 1.2× 75 1.0× 20 477
Roberto De Marzi Austria 7 433 1.4× 47 0.5× 77 1.0× 99 1.3× 57 0.8× 10 572
Ling Chen China 18 456 1.5× 123 1.2× 37 0.5× 116 1.5× 46 0.6× 67 954
Susanna Jakobson Mo Sweden 11 466 1.5× 37 0.4× 105 1.3× 66 0.8× 76 1.0× 23 623
Guanglu Li China 9 226 0.7× 71 0.7× 45 0.6× 30 0.4× 26 0.3× 16 368
David Bäckström Sweden 10 452 1.5× 69 0.7× 33 0.4× 165 2.1× 77 1.0× 22 589
Shuai Zhao China 15 145 0.5× 154 1.5× 57 0.7× 165 2.1× 79 1.1× 40 674
Shishuang Cui China 14 390 1.3× 175 1.7× 18 0.2× 97 1.2× 64 0.9× 33 658

Countries citing papers authored by Daniele Urso

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Urso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Urso

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Urso. A scholar is included among the top collaborators of Daniele Urso 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 Daniele Urso. Daniele Urso 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.
Nigro, Salvatore, Stefano Zoccolella, Roberta Barone, et al.. (2025). Radiomic alterations and clinical correlates of hypothalamic nuclei in ALS. Computers in Biology and Medicine. 189. 109906–109906. 1 indexed citations
2.
Nigro, Salvatore, Marco Filardi, Roberto De Blasi, et al.. (2025). Radiomics feature similarity: A novel approach for characterizing brain network changes in patients with behavioral variant frontotemporal dementia. NeuroImage Clinical. 46. 103780–103780.
3.
4.
Michelutti, Marco, Daniele Urso, Valentina Gnoni, et al.. (2025). Structural covariance network patterns linked to neuropsychiatric symptoms in biologically defined Alzheimer's disease: Insights from the mild behavioral impairment checklist. Journal of Alzheimer s Disease. 104(2). 338–350. 1 indexed citations
5.
Michelutti, Marco, Hans‐Jürgen Huppertz, Sarah Anderl‐Straub, et al.. (2025). MRI ‐ DTI Biomarkers Along the Continuum of Behavioral Variant Frontotemporal Dementia. European Journal of Neurology. 32(12). e70438–e70438.
6.
Guglielmini, Giuseppe, et al.. (2025). Assessment of clinical prognosis in autoimmune encephalitis: Girona score. Frontiers in Psychiatry. 16. 1447009–1447009.
7.
Giulio, Irene Di, Andrea Romigi, Veena Kumari, et al.. (2024). Dreaming Characteristics in Non-Rapid Eye Movement Parasomnia and Idiopathic Rapid Eye Movement Sleep Behaviour Disorder: Similarities and Differences. Nature and Science of Sleep. Volume 16. 263–277. 4 indexed citations
8.
Boura, Iro, et al.. (2024). Non-Motor Fluctuations in Parkinson’s Disease: Underdiagnosed Yet Important. Journal of Movement Disorders. 18(1). 1–16. 9 indexed citations
9.
Nigro, Salvatore, Marco Filardi, Roberto De Blasi, et al.. (2024). Deep Learning–based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy. Radiology Artificial Intelligence. 6(3). e230151–e230151. 4 indexed citations
10.
Barone, Roberta, Valentina Gnoni, Daniele Urso, et al.. (2024). Sarcopenia in subjects with Alzheimer’s disease: prevalence and comparison of agreement between EGWSOP1, EGWSOP2, and FNIH criteria. BMC Geriatrics. 24(1). 278–278. 4 indexed citations
11.
Urso, Daniele, et al.. (2024). Nucleus Basalis of Meynert Degeneration Predicts Cognitive Decline in Corticobasal Syndrome. Biological Psychiatry. 95(11). 1048–1054. 2 indexed citations
12.
Filardi, Marco, Stefano Zoccolella, Valentina Gnoni, et al.. (2023). Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis. Expert Systems with Applications. 240. 122585–122585. 8 indexed citations
13.
Zoccolella, Stefano, Marco Filardi, Alessandro Introna, et al.. (2023). A Clinical Scale for Rating the Severity of Bulbar Lower Motor Neuron Dysfunction in Amyotrophic Lateral Sclerosis. Biomedicines. 11(7). 2039–2039. 3 indexed citations
14.
Urso, Daniele, et al.. (2023). Cortical signature of depressive symptoms in frontotemporal dementia: A surface‐based analysis. Annals of Clinical and Translational Neurology. 10(10). 1704–1713. 3 indexed citations
15.
16.
Urso, Daniele, Salvatore Nigro, Luigi Macchitella, et al.. (2023). Grey-matter correlates of empathy in 4-Repeat Tauopathies. npj Parkinson s Disease. 9(1). 138–138. 3 indexed citations
17.
Vela, Lydia, et al.. (2022). Non-Motor Symptoms in PLA2G6-Associated Dystonia-Parkinsonism: A Case Report and Literature Review. Journal of Clinical Medicine. 11(6). 1590–1590. 1 indexed citations
18.
Urso, Daniele, Daniel J. van Wamelen, Lucia Batzu, et al.. (2022). Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease. npj Parkinson s Disease. 8(1). 95–95. 10 indexed citations
19.
Urso, Daniele, Stefano Zoccolella, Valentina Gnoni, & Giancarlo Logroscino. (2022). Amyotrophic Lateral Sclerosis—The Complex Phenotype—From an Epidemiological Perspective: A Focus on Extrapyramidal and Non-Motor Features. Biomedicines. 10(10). 2537–2537. 8 indexed citations
20.
Urso, Daniele, et al.. (2019). Clinical Reasoning: A 58-year-old man with hand tremor and episodes of neck pain. Neurology. 93(12). 557–561.

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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