Paola Lenzi
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 1%
- Epidemiology top 5%
- Physiology top 5%
- Co-authors
- Francesco FornaiMichela FerrucciGloria LazzeriAntonio PaparelliMarco GesiStefano RuggieriCarla L. BuscetiFrancesca Biagioni
- Topics
- Parkinson's Disease Mechanisms and Treatments (24 papers)Autophagy in Disease and Therapy (24 papers)Noise Effects and Management (18 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Paola Lenzi
181 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 1.3k
- Neurology 1.2k
- Epidemiology 699
- Physiology 675
Countries citing papers authored by Paola Lenzi
This map shows the geographic impact of Paola Lenzi'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 Paola Lenzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Lenzi more than expected).
Fields of papers citing papers by Paola Lenzi
This network shows the impact of papers produced by Paola Lenzi. 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 Paola Lenzi. The network helps show where Paola Lenzi may publish in the future.
Co-authorship network of co-authors of Paola Lenzi
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Lenzi. A scholar is included among the top collaborators of Paola Lenzi 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 Paola Lenzi. Paola Lenzi 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 19 | |
| 11 | 47 | |
| 12 | 26 | |
| 13 | HLA-G intracellular expression in decidua trophoblasts in a normalterm placenta: a confocal and transmission electron microscopy study. | 1 |
| 14 | 17 | |
| 15 | 43 | |
| 16 | 427 | |
| 17 | Parkinson-like syndrome induced by continuous MPTP infusion: Convergent roles of the ubiquitin-proteasome system and α-synucleinbreakdown → | 417 |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 12 |
About Paola Lenzi
Paola Lenzi is a scholar working on Speech and Hearing, Cellular and Molecular Neuroscience and Neurology, having authored 183 papers that have together received 4.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (24 papers), Autophagy in Disease and Therapy (24 papers) and Noise Effects and Management (18 papers). The work is most often cited by research in Neurology (1.2k citations), Cellular and Molecular Neuroscience (1.3k citations) and Neurology (295 citations). Paola Lenzi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Francesco Fornai, Michela Ferrucci, Gloria Lazzeri, Antonio Paparelli, Marco Gesi, Stefano Ruggieri, Carla L. Busceti, Francesca Biagioni, Paola Soldani and Antonio Pellegrini. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Neuroscience.
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.