T. Sprovieri

844 total citations
39 papers, 533 citations indexed

About

T. Sprovieri is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, T. Sprovieri has authored 39 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 12 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in T. Sprovieri's work include Neurological diseases and metabolism (10 papers), Hereditary Neurological Disorders (8 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). T. Sprovieri is often cited by papers focused on Neurological diseases and metabolism (10 papers), Hereditary Neurological Disorders (8 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). T. Sprovieri collaborates with scholars based in Italy, United States and Argentina. T. Sprovieri's co-authors include F. L. Conforti, C Ungaro, Aldo Quattrone, M. Muglia, R. Mazzei, A. Patitucci, A. Magariello, Giuseppe Cimino, A. L. Gabriele and Sebastiano Cavallaro and has published in prestigious journals such as Blood, Neurology and Analytical Biochemistry.

In The Last Decade

T. Sprovieri

38 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Sprovieri Italy 14 225 197 145 124 122 39 533
J Rafałowska Poland 12 188 0.8× 137 0.7× 101 0.7× 82 0.7× 58 0.5× 44 390
Manuèle Miné France 17 150 0.7× 362 1.8× 29 0.2× 45 0.4× 34 0.3× 27 612
Alessandro Malandrini Italy 16 134 0.6× 448 2.3× 19 0.1× 130 1.0× 246 2.0× 48 734
Xinghua Luan China 12 125 0.6× 242 1.2× 28 0.2× 51 0.4× 135 1.1× 48 456
Memnune Yüksel Apak Türkiye 11 69 0.3× 215 1.1× 142 1.0× 140 1.1× 213 1.7× 20 549
Rachel Schot Netherlands 16 57 0.3× 355 1.8× 28 0.2× 16 0.1× 62 0.5× 35 686
Cameron Sadegh United States 5 91 0.4× 258 1.3× 120 0.8× 22 0.2× 121 1.0× 12 494
Paola Merino United States 14 124 0.6× 274 1.4× 34 0.2× 97 0.8× 70 0.6× 23 580
Luc Régal Belgium 15 119 0.5× 336 1.7× 74 0.5× 36 0.3× 51 0.4× 33 689
Tomasz Kmieć Poland 12 90 0.4× 399 2.0× 58 0.4× 262 2.1× 158 1.3× 50 865

Countries citing papers authored by T. Sprovieri

Since Specialization
Citations

This map shows the geographic impact of T. Sprovieri'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 T. Sprovieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sprovieri more than expected).

Fields of papers citing papers by T. Sprovieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Sprovieri

This figure shows the co-authorship network connecting the top 25 collaborators of T. Sprovieri. A scholar is included among the top collaborators of T. Sprovieri 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 T. Sprovieri. T. Sprovieri 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.
Bencardino, Mariantonia, Maria Martino, Francesco D’Amore, et al.. (2025). Establishing a national network for atmospheric mercury monitoring: preliminary spatial and temporal insights from Italy. Atmospheric Environment. 361. 121477–121477.
2.
Sprovieri, T., C Ungaro, Serena Sivo, et al.. (2019). Clinical features and genetic analysis of two siblings with startle disease in an Italian family: a case report. BMC Medical Genetics. 20(1). 40–40. 7 indexed citations
3.
Cognata, Valentina La, T. Sprovieri, C Ungaro, et al.. (2019). Alternative Splicing of ALS Genes: Misregulation and Potential Therapies. Cellular and Molecular Neurobiology. 40(1). 1–14. 34 indexed citations
4.
Sprovieri, T., C Ungaro, Giuseppina Daniela Naimo, et al.. (2019). A novel S379A TARDBP mutation associated to late-onset sporadic ALS. Neurological Sciences. 40(10). 2111–2118. 5 indexed citations
5.
Mazzei, R., C Ungaro, Girolamo Garreffa, et al.. (2010). Clinical, genetic and magnetic resonance findings in an Italian patient affected by l-2-hydroxyglutaric aciduria. Neurological Sciences. 32(1). 95–99. 7 indexed citations
6.
7.
Urso, Elena, et al.. (2010). Proteomic profiling of cerebrospinal fluid in Creutzfeldt–Jakob disease. Expert Review of Proteomics. 7(6). 907–917. 10 indexed citations
8.
Sprovieri, T., F. L. Conforti, Agata Fiumara, et al.. (2009). A novel mutation in the X‐linked cyclin‐dependent kinase‐like 5 (CDKL5) gene associated with a severe Rett phenotype. American Journal of Medical Genetics Part A. 149A(4). 722–725. 16 indexed citations
9.
Martino, Davide, M. Muglia, Giovanni Abbruzzese, et al.. (2009). Brain‐derived neurotrophic factor and risk for primary adult‐onset cranial‐cervical dystonia. European Journal of Neurology. 16(8). 949–952. 14 indexed citations
10.
Conforti, F. L., T. Sprovieri, R. Mazzei, et al.. (2008). Further evidence that D90A-SOD1 mutation is recessively inherited in ALS patients in Italy. Amyotrophic Lateral Sclerosis. 10(1). 58–60. 11 indexed citations
11.
Conforti, F. L., T. Sprovieri, R. Mazzei, et al.. (2007). A novel Angiogenin gene mutation in a sporadic patient with amyotrophic lateral sclerosis from southern Italy. Neuromuscular Disorders. 18(1). 68–70. 45 indexed citations
12.
Mazzei, R., Donata Guidetti, C Ungaro, et al.. (2007). First evidence of a pathogenic insertion in the NOTCH3 gene causing CADASIL. Journal of Neurology Neurosurgery & Psychiatry. 79(1). 108–110. 10 indexed citations
13.
Magariello, A., M. Muglia, A. Patitucci, et al.. (2006). Novel spastin (SPG4) mutations in Italian patients with hereditary spastic paraplegia. Neuromuscular Disorders. 16(6). 387–390. 14 indexed citations
14.
Conforti, F. L., T. Sprovieri, R. Mazzei, et al.. (2006). Sporadic ALS is not associated with VAPB gene mutations in Southern Italy. Journal of Negative Results in BioMedicine. 5(1). 7–7. 19 indexed citations
15.
Patitucci, A., M. Muglia, A. Magariello, et al.. (2005). Comparison of different techniques for detecting 17p12 duplication in CMT1A. Neuromuscular Disorders. 15(7). 488–492. 9 indexed citations
16.
Guidetti, Donata, Bruno Casali, R. Mazzei, et al.. (2004). An Italian case of CADASIL with mutation CGC-TCG in codon 1006, exon 19 Notch3 gene. Neurological Sciences. 24(6). 401–406. 5 indexed citations
17.
Conforti, F. L., M. Muglia, R. Mazzei, et al.. (2004). A new SBF2 mutation in a family with recessive demyelinating Charcot-Marie-Tooth (CMT4B2). Neurology. 63(7). 1327–1328. 11 indexed citations
18.
Mazzei, R., Antonio Gambardella, F. L. Conforti, et al.. (2003). Gene conversion events in adult-onset spinal muscular atrophy. Acta Neurologica Scandinavica. 109(2). 151–154. 11 indexed citations
19.
Muglia, M., Chiara Criscuolo, A. Magariello, et al.. (2003). Narrowing of the critical region in autosomal recessive spastic paraplegia linked to the SPG5 locus. Neurogenetics. 5(1). 49–54. 10 indexed citations
20.
Angioni, Adriano, Roberta La Starza, Cristina Mecucci, et al.. (1998). Interstitial Insertion of AF10 into the ALL1 Gene in a Case of Infant Acute Lymphoblastic Leukemia. Cancer Genetics and Cytogenetics. 107(2). 107–110. 14 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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