Letizia Mazzini
- Neurology top 0.1%
- Amyotrophic Lateral Sclerosis Research 109
- Parkinson's Disease Mechanisms and Treatments 32
- Neurological diseases and metabolism 8
- Genetics top 0.2%
- Neurogenetic and Muscular Disorders Research 55
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 109
- Parkinson's Disease Mechanisms and Treatments 32
- Neurological diseases and metabolism 8
- Developmental Neuroscience top 5%
-
- Genetic Neurodegenerative Diseases 9
-
- Prion Diseases and Protein Misfolding 14
-
- Alzheimer's disease research and treatments 14
-
- Cholinesterase and Neurodegenerative Diseases 9
- Co-authors
- Gabriele MoraAdriano ChiòAndrea CalvoCristina MogliaPamela J. ShawSusanne PetriStephen A. GoutmanMasha G. Savelieff
- Journals
- The Lancet (1 paper)SHILAP Revista de lepidopterología (2 papers)Neurology (13 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Letizia Mazzini
127 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Neurology 4.0k
- Genetics 2.6k
- Neurology 790
- Developmental Neuroscience 175
- Cellular and Molecular Neuroscience 724
Countries citing papers authored by Letizia Mazzini
This map shows the geographic impact of Letizia Mazzini'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 Letizia Mazzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Letizia Mazzini more than expected).
Fields of papers citing papers by Letizia Mazzini
This network shows the impact of papers produced by Letizia Mazzini. 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 Letizia Mazzini. The network helps show where Letizia Mazzini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Letizia Mazzini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 12 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 13 | |
| 7 | 2022 | 1 | |
| 8 | Amyotrophic lateral sclerosisbreakdown → | 2022 | 544 |
| 9 | 2021 | 8 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 3 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 22 | |
| 15 | 2015 | 1 | |
| 16 | 2011 | 77 | |
| 17 | 2010 | 80 | |
| 18 | STEM CELL TRANSPLANTATION IN AMYOTROPHIC LATERAL SCLEROSIS PATIENTS | 2008 | 2 |
| 19 | 1999 | 6 | |
| 20 | 1990 | 3 |
About Letizia Mazzini
Letizia Mazzini is a scholar working on Neurology, Genetics and Neurology, having authored 134 papers that have together received 5.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (109 papers), Neurogenetic and Muscular Disorders Research (55 papers), Parkinson's Disease Mechanisms and Treatments (32 papers), Prion Diseases and Protein Misfolding (14 papers), Alzheimer's disease research and treatments (14 papers), Genetic Neurodegenerative Diseases (9 papers), Cholinesterase and Neurodegenerative Diseases (9 papers) and Neurological diseases and metabolism (8 papers). The work is most often cited by research in Neurology (4.0k citations), Genetics (2.6k citations) and Neurology (790 citations). Letizia Mazzini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gabriele Mora, Adriano Chiò, Andrea Calvo, Cristina Moglia, Pamela J. Shaw, Susanne Petri, Stephen A. Goutman, Masha G. Savelieff, Gen Sobue and Eva L. Feldman. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Neurology.
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.