Lorena Mosca
Impact in
Papers in
- Co-authors
- Christian Lunetta (15 shared papers)Silvana Penco (14 shared papers)Alessandro Marocchi (10 shared papers)Claudia Tarlarini (11 shared papers)Fabio Coppedè (4 shared papers)Lucia Migliore (4 shared papers)Andrea Stoccoro (4 shared papers)Francesca Avemaria (6 shared papers)
- Journals
- Neurobiology of Aging (4 papers)Journal of Molecular Neuroscience (3 papers)Epigenomics (2 papers)European Journal of Neurology (2 papers)Cognitive and Behavioral Neurology (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Lorena Mosca
27 papers receiving 505 citations
Peers
Comparison fields: 5 of 51
- Neurology 320
- Genetics 152
- Neurology 90
- Biological Psychiatry 8
- Cellular and Molecular Neuroscience 54
Countries citing papers authored by Lorena Mosca
This map shows the geographic impact of Lorena Mosca'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 Lorena Mosca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Mosca more than expected).
Fields of papers citing papers by Lorena Mosca
This network shows the impact of papers produced by Lorena Mosca. 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 Lorena Mosca. The network helps show where Lorena Mosca may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorena Mosca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 65 | |
| 2 | 2020 | 43 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 39 | |
| 5 | 2012 | 39 | |
| 6 | 2017 | 31 | |
| 7 | 2014 | 29 | |
| 8 | 2019 | 22 | |
| 9 | 2011 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2010 | 19 | |
| 12 | 2013 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2011 | 12 | |
| 18 | 2014 | 10 | |
| 19 | 2011 | 10 | |
| 20 | 2021 | 9 |
About Lorena Mosca
Lorena Mosca is a scholar working on Neurology, Genetics, Neurology, Molecular Biology and Pathology and Forensic Medicine, having authored 28 papers that have together received 510 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (15 papers), Neurogenetic and Muscular Disorders Research (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological diseases and metabolism (4 papers), Cerebrovascular and genetic disorders (3 papers), Metalloenzymes and iron-sulfur proteins (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Neurology (320 citations), Genetics (152 citations), Neurology (90 citations), Biological Psychiatry (8 citations) and Cellular and Molecular Neuroscience (54 citations). Lorena Mosca has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Christian Lunetta, Silvana Penco, Alessandro Marocchi, Claudia Tarlarini, Fabio Coppedè, Lucia Migliore, Andrea Stoccoro, Francesca Avemaria, Massimo Corbo and Eleonora Maestri. Their work appears in journals such as Neurobiology of Aging, Journal of Molecular Neuroscience, Epigenomics, European Journal of Neurology and Cognitive and Behavioral 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.