Stefania Zampatti

1.0k total citations
45 papers, 641 citations indexed

About

Stefania Zampatti is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stefania Zampatti has authored 45 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stefania Zampatti's work include Retinal Diseases and Treatments (7 papers), Genetic Neurodegenerative Diseases (7 papers) and Muscle Physiology and Disorders (6 papers). Stefania Zampatti is often cited by papers focused on Retinal Diseases and Treatments (7 papers), Genetic Neurodegenerative Diseases (7 papers) and Muscle Physiology and Disorders (6 papers). Stefania Zampatti collaborates with scholars based in Italy, Albania and United States. Stefania Zampatti's co-authors include Emiliano Giardina, Giuseppe Novelli, Raffaella Cascella, Claudia Strafella, Federico Ricci, Andrea Cusumano, Valerio Caputo, Lt Marsella, Stefano Gambardella and Paola Borgiani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Progress in Retinal and Eye Research.

In The Last Decade

Stefania Zampatti

43 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefania Zampatti Italy 14 277 157 96 92 79 45 641
Kimberly Dine United States 16 290 1.0× 128 0.8× 66 0.7× 31 0.3× 60 0.8× 31 651
Xiang Yao United States 13 339 1.2× 81 0.5× 47 0.5× 37 0.4× 92 1.2× 19 665
Vien Nguyen United States 14 324 1.2× 77 0.5× 37 0.4× 86 0.9× 60 0.8× 30 696
Beatriz Villarejo‐Zori Spain 13 402 1.5× 204 1.3× 53 0.6× 16 0.2× 35 0.4× 18 711
Mahasweta Dutt United States 8 200 0.7× 141 0.9× 39 0.4× 10 0.1× 48 0.6× 10 653
Davide Martini Italy 15 352 1.3× 163 1.0× 170 1.8× 43 0.5× 120 1.5× 29 749
Mingkai Lin China 14 364 1.3× 491 3.1× 214 2.2× 39 0.4× 16 0.2× 65 808
Cheng‐mao Lin United States 16 397 1.4× 386 2.5× 137 1.4× 22 0.2× 38 0.5× 29 861
Philippe Gohier France 12 196 0.7× 280 1.8× 85 0.9× 20 0.2× 11 0.1× 31 524
Hang Cao China 12 159 0.6× 62 0.4× 79 0.8× 22 0.2× 21 0.3× 37 462

Countries citing papers authored by Stefania Zampatti

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Zampatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Zampatti

This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Zampatti. A scholar is included among the top collaborators of Stefania Zampatti 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 Stefania Zampatti. Stefania Zampatti 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.
2.
Zampatti, Stefania, et al.. (2024). AI-Powered Neurogenetics: Supporting Patient’s Evaluation with Chatbot. Genes. 16(1). 29–29. 1 indexed citations
3.
Zampatti, Stefania, et al.. (2024). RHO Variants and Autosomal Dominant Retinitis Pigmentosa: Insights from the Italian Genetic Landscape. Genes. 15(9). 1158–1158. 1 indexed citations
4.
Strafella, Claudia, et al.. (2024). Federated Learning: Breaking Down Barriers in Global Genomic Research. Genes. 15(12). 1650–1650. 8 indexed citations
5.
Zampatti, Stefania, et al.. (2024). Innovations in Medicine: Exploring ChatGPT’s Impact on Rare Disorder Management. Genes. 15(4). 421–421. 8 indexed citations
6.
Ferese, Rosangela, Simona Scala, Antonio Suppa, et al.. (2023). Cohort analysis of novel SPAST variants in SPG4 patients and implementation of in vitro and in vivo studies to identify the pathogenic mechanism caused by splicing mutations. Frontiers in Neurology. 14. 1296924–1296924. 3 indexed citations
7.
8.
Zampatti, Stefania, Rosangela Ferese, Stefano Gambardella, et al.. (2023). A Splicing Variant in RDH8 Is Associated with Autosomal Recessive Stargardt Macular Dystrophy. Genes. 14(8). 1659–1659. 3 indexed citations
9.
Zampatti, Stefania, et al.. (2022). C9orf72-Related Neurodegenerative Diseases: From Clinical Diagnosis to Therapeutic Strategies. Frontiers in Aging Neuroscience. 14. 907122–907122. 10 indexed citations
10.
Femiano, Cinzia, Rosangela Ferese, Diego Centonze, et al.. (2021). A Large Family with p.Arg554His Mutation in ABCD1: Clinical Features and Genotype/Phenotype Correlation in Female Carriers. Genes. 12(5). 775–775. 3 indexed citations
11.
Fusco, Carmela, Dario Ronchi, Stefano Gambardella, et al.. (2021). Improving clinical interpretation of five KRIT1 and PDCD10 intronic variants. Clinical Genetics. 99(6). 829–835.
12.
Zampatti, Stefania, Carlo Fabrizio, Andrea Termine, et al.. (2021). Genetic Variants Allegedly Linked to Antisocial Behaviour Are Equally Distributed Across Different Populations. Journal of Personalized Medicine. 11(3). 213–213. 2 indexed citations
13.
Ferese, Rosangela, Stefania Zampatti, Emiliano Giardina, et al.. (2020). A novel POLR3A genotype leads to leukodystrophy type-7 in two siblings with unusually late age of onset. BMC Neurology. 20(1). 258–258. 7 indexed citations
14.
Mancini, Valentina, Viviana Frantellizzi, Stefania Zampatti, et al.. (2019). Migrainous Infarction in a Patient With Sporadic Hemiplegic Migraine and Cystic Fibrosis: A 99mTc‐HMPAO Brain SPECT Study. Headache The Journal of Head and Face Pain. 59(2). 253–258. 8 indexed citations
15.
Strafella, Claudia, Valerio Caputo, G. Pagliaroli, et al.. (2019). Limb-Girdle Muscular Dystrophies (LGMDs): The Clinical Application of NGS Analysis, a Family Case Report. Frontiers in Neurology. 10. 619–619. 10 indexed citations
16.
Zampatti, Stefania, Luca Colantoni, Claudia Strafella, et al.. (2019). Facioscapulohumeral muscular dystrophy (FSHD) molecular diagnosis: from traditional technology to the NGS era. Neurogenetics. 20(2). 57–64. 18 indexed citations
17.
Cascella, Raffaella, Claudia Strafella, Valerio Caputo, et al.. (2018). Digenic Inheritance of Shortened Repeat Units of the D4Z4 Region and a Loss-of-Function Variant in SMCHD1 in a Family With FSHD. Frontiers in Neurology. 9. 1027–1027. 10 indexed citations
18.
Cascella, Raffaella, Claudia Strafella, Valerio Caputo, et al.. (2017). Towards the application of precision medicine in Age-Related Macular Degeneration. Progress in Retinal and Eye Research. 63. 132–146. 55 indexed citations
19.
Stocchi, Laura, et al.. (2012). The Pharmacogenomic HLA Biomarker Associated to Adverse Abacavir Reactions: Comparative Analysis of Different Genotyping Methods. Current Genomics. 13(4). 314–320. 30 indexed citations
20.
Giardina, Emiliano, Laura Stocchi, Valeria Foti Cuzzola, et al.. (2010). A fluorescence‐based sequence‐specific primer PCR for the screening of HLA‐B*57:01. Electrophoresis. 31(21). 3525–3530. 9 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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