Eleonora Maestri

542 total citations
8 papers, 290 citations indexed

About

Eleonora Maestri is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eleonora Maestri has authored 8 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Eleonora Maestri's work include Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Eleonora Maestri is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (8 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Eleonora Maestri collaborates with scholars based in Italy, Germany and United States. Eleonora Maestri's co-authors include Christian Lunetta, Valeria Sansone, Andrea Lizio, Mario Melazzini, Massimo Corbo, Claudia Tarlarini, Francesca Avemaria, Silvana Penco, Lorena Mosca and Gabriele Mora and has published in prestigious journals such as Neurobiology of Aging, JAMA Neurology and Journal of Neurology.

In The Last Decade

Eleonora Maestri

8 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eleonora Maestri Italy 8 259 171 67 56 45 8 290
Claudia Tarlarini Italy 11 184 0.7× 122 0.7× 85 1.3× 51 0.9× 27 0.6× 16 266
Susan Heggie Australia 5 239 0.9× 150 0.9× 45 0.7× 46 0.8× 49 1.1× 7 273
Alfonsa Claudia Taiello Italy 4 219 0.8× 107 0.6× 86 1.3× 45 0.8× 45 1.0× 7 331
Stefano Zoccolella Italy 7 240 0.9× 128 0.7× 52 0.8× 49 0.9× 30 0.7× 8 279
Katherine E. Lewis Australia 9 177 0.7× 113 0.7× 140 2.1× 57 1.0× 49 1.1× 11 302
Vito Guerra Italy 5 336 1.3× 191 1.1× 44 0.7× 46 0.8× 26 0.6× 5 362
Lieselot Dedeene Belgium 7 178 0.7× 95 0.6× 65 1.0× 43 0.8× 52 1.2× 9 237
Marta Vidal Australia 8 171 0.7× 83 0.5× 109 1.6× 44 0.8× 49 1.1× 12 326
Aurélie Leclerc United States 5 257 1.0× 162 0.9× 170 2.5× 64 1.1× 32 0.7× 5 334
Perry T.C. van Doormaal Netherlands 8 454 1.8× 249 1.5× 113 1.7× 84 1.5× 57 1.3× 10 510

Countries citing papers authored by Eleonora Maestri

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Maestri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleonora Maestri

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

All Works

8 of 8 papers shown
1.
Lunetta, Christian, Andrea Lizio, Eleonora Maestri, et al.. (2017). Serum C-Reactive Protein as a Prognostic Biomarker in Amyotrophic Lateral Sclerosis. JAMA Neurology. 74(6). 660–660. 90 indexed citations
2.
Lunetta, Christian, Andrea Lizio, Mario Melazzini, Eleonora Maestri, & Valeria Sansone. (2015). Amyotrophic Lateral Sclerosis Survival Score (ALS-SS): A simple scoring system for early prediction of patient survival. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 17(1-2). 93–100. 27 indexed citations
3.
Lunetta, Christian, Andrea Lizio, Valeria Sansone, et al.. (2015). Strictly monitored exercise programs reduce motor deterioration in ALS: preliminary results of a randomized controlled trial. Journal of Neurology. 263(1). 52–60. 67 indexed citations
4.
Tarlarini, Claudia, Christian Lunetta, Lorena Mosca, et al.. (2015). NovelFUSmutations identified through molecular screening in a large cohort of familial and sporadic amyotrophic lateral sclerosis. European Journal of Neurology. 22(11). 1474–1481. 20 indexed citations
5.
Lunetta, Christian, Valeria Sansone, Silvana Penco, et al.. (2014). Amyotrophic lateral sclerosis in pregnancy is associated with a vascular endothelial growth factor promoter genotype. European Journal of Neurology. 21(4). 594–598. 10 indexed citations
7.
Avemaria, Francesca, Christian Lunetta, Claudia Tarlarini, et al.. (2011). Mutation in the senataxin gene found in a patient affected by familial ALS with juvenile onset and slow progression. Amyotrophic Lateral Sclerosis. 12(3). 228–230. 20 indexed citations
8.
Penco, Silvana, Christian Lunetta, Lorena Mosca, et al.. (2010). Phenotypic Heterogeneity in a SOD1 G93D Italian ALS Family: An Example of Human Model to Study a Complex Disease. Journal of Molecular Neuroscience. 44(1). 25–30. 17 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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