Francesca Mazzoni
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Ophthalmology top 2%
- Endocrine and Autonomic Systems top 5%
- Cell Biology top 10%
- Co-authors
- Enrica StrettoiEva Terzibasi TozziniClaudia GarginiSilvia C. FinnemannElena NovelliKenkichi BabaGianluca TosiniP. Michael Iuvone
- Topics
- Retinal Development and Disorders (16 papers)Photoreceptor and optogenetics research (8 papers)Retinal Diseases and Treatments (6 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Francesca Mazzoni
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 654
- Ophthalmology 335
- Endocrine and Autonomic Systems 212
- Cell Biology 148
Countries citing papers authored by Francesca Mazzoni
This map shows the geographic impact of Francesca Mazzoni'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 Francesca Mazzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Mazzoni more than expected).
Fields of papers citing papers by Francesca Mazzoni
This network shows the impact of papers produced by Francesca Mazzoni. 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 Francesca Mazzoni. The network helps show where Francesca Mazzoni may publish in the future.
Co-authorship network of co-authors of Francesca Mazzoni
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Mazzoni. A scholar is included among the top collaborators of Francesca Mazzoni 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 Francesca Mazzoni. Francesca Mazzoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 8 | |
| 3 | 34 | |
| 4 | 23 | |
| 5 | 11 | |
| 6 | 22 | |
| 7 | 48 | |
| 8 | 173 | |
| 9 | 48 | |
| 10 | 15 | |
| 11 | 42 | |
| 12 | 74 | |
| 13 | 32 | |
| 14 | 196 | |
| 15 | Effects of Photoreceptor Degeneration on Ganglion Cell Morphology: The rd10/Thy1-GFP Mouse | 1 |
| 16 | 39 | |
| 17 | 408 | |
| 18 | 32 | |
| 19 | 19 | |
| 20 | 6 |
About Francesca Mazzoni
Francesca Mazzoni is a scholar working on Ophthalmology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinal Development and Disorders (16 papers), Photoreceptor and optogenetics research (8 papers) and Retinal Diseases and Treatments (6 papers). The work is most often cited by research in Ophthalmology (335 citations), Cellular and Molecular Neuroscience (654 citations) and Endocrine and Autonomic Systems (212 citations). Francesca Mazzoni has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Enrica Strettoi, Eva Terzibasi Tozzini, Claudia Gargini, Silvia C. Finnemann, Elena Novelli, Kenkichi Baba, Gianluca Tosini, P. Michael Iuvone, Nikita Pozdeyev and Devid Damiani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The EMBO Journal.
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.