Mirko Luoni
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- CRISPR and Genetic Engineering 5
- RNA Interference and Gene Delivery 2
- RNA regulation and disease 2
- Genetics 8
- Genetics and Neurodevelopmental Disorders 6
- Virus-based gene therapy research 2
- Co-authors
- Vania Broccoli (13 shared papers)Serena Giannelli (12 shared papers)Luca Massimino (6 shared papers)Simone Bido (5 shared papers)Letizia Leocani (3 shared papers)Valerio Castoldi (3 shared papers)Marco Bacigaluppi (2 shared papers)Sharon Muggeo (4 shared papers)
- Journals
- Nature Communications (4 papers)eLife (2 papers)iScience (1 paper)Cerebral Cortex (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Mirko Luoni
14 papers receiving 590 citations
Peers
Comparison fields: 5 of 68
- Neurology 109
- Cellular and Molecular Neuroscience 154
- Neurology 118
- Developmental Neuroscience 24
- Genetics 154
Countries citing papers authored by Mirko Luoni
This map shows the geographic impact of Mirko Luoni'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 Mirko Luoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirko Luoni more than expected).
Fields of papers citing papers by Mirko Luoni
This network shows the impact of papers produced by Mirko Luoni. 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 Mirko Luoni. The network helps show where Mirko Luoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Mirko Luoni, 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 | 2021 | 123 | |
| 2 | 2017 | 107 | |
| 3 | 2017 | 103 | |
| 4 | 2020 | 60 | |
| 5 | 2020 | 49 | |
| 6 | 2022 | 36 | |
| 7 | 2016 | 31 | |
| 8 | 2021 | 26 | |
| 9 | 2024 | 24 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 |
About Mirko Luoni
Mirko Luoni is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 14 papers that have together received 593 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (6 papers), CRISPR and Genetic Engineering (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Virus-based gene therapy research (2 papers), RNA Interference and Gene Delivery (2 papers), RNA regulation and disease (2 papers) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Neurology (109 citations), Cellular and Molecular Neuroscience (154 citations), Neurology (118 citations), Developmental Neuroscience (24 citations) and Genetics (154 citations). Mirko Luoni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Vania Broccoli, Serena Giannelli, Luca Massimino, Simone Bido, Letizia Leocani, Valerio Castoldi, Marco Bacigaluppi, Sharon Muggeo, Silvia Gregori and Cinzia Cancellieri. Their work appears in journals such as Nature Communications, eLife, iScience, Cerebral Cortex and Science Translational Medicine.
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.