Michela Ferrucci
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Francesco FornaiPaola LenziAntonio PaparelliGloria LazzeriStefano RuggieriCarla L. BuscetiMarco GesiFrancesca Biagioni
- Topics
- Parkinson's Disease Mechanisms and Treatments (24 papers)Neuroscience and Neuropharmacology Research (22 papers)Neurotransmitter Receptor Influence on Behavior (21 papers)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Michela Ferrucci
86 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Neurology 1.1k
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 701
- Epidemiology 531
- Physiology 471
Countries citing papers authored by Michela Ferrucci
This map shows the geographic impact of Michela Ferrucci'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 Michela Ferrucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Ferrucci more than expected).
Fields of papers citing papers by Michela Ferrucci
This network shows the impact of papers produced by Michela Ferrucci. 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 Michela Ferrucci. The network helps show where Michela Ferrucci may publish in the future.
Co-authorship network of co-authors of Michela Ferrucci
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Ferrucci. A scholar is included among the top collaborators of Michela Ferrucci 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 Michela Ferrucci. Michela Ferrucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 67 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 73 | |
| 11 | 427 | |
| 12 | 6 | |
| 13 | 30 | |
| 14 | 6 | |
| 15 | Parkinson-like syndrome induced by continuous MPTP infusion: Convergent roles of the ubiquitin-proteasome system and α-synucleinbreakdown → | 417 |
| 16 | 8 | |
| 17 | 58 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 12 |
About Michela Ferrucci
Michela Ferrucci is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Neurology, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (24 papers), Neuroscience and Neuropharmacology Research (22 papers) and Neurotransmitter Receptor Influence on Behavior (21 papers). The work is most often cited by research in Neurology (1.1k citations), Cellular and Molecular Neuroscience (1.0k citations) and Toxicology (123 citations). Michela Ferrucci has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Francesco Fornai, Paola Lenzi, Antonio Paparelli, Gloria Lazzeri, Stefano Ruggieri, Carla L. Busceti, Marco Gesi, Francesca Biagioni, Ciro Isidoro and Riccardo Ruffoli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Brain Research.
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.