Francesca Munari
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
-
- Ubiquitin and proteasome pathways 15
- Protein Structure and Dynamics 11
- RNA Research and Splicing 7
- RNA and protein synthesis mechanisms 6
- Physiology 17
- Alzheimer's disease research and treatments 17
- Co-authors
- Michael Assfalg (29 shared papers)Mariapina D’Onofrio (24 shared papers)Markus Zweckstetter (13 shared papers)Luigi Bubacco (9 shared papers)Stefano Capaldi (16 shared papers)Stefan Becker (8 shared papers)Nasrollah Rezaei‐Ghaleh (6 shared papers)Stefano Mammi (3 shared papers)
- Journals
- Angewandte Chemie International Edition (5 papers)International Journal of Biological Macromolecules (3 papers)Journal of Biological Chemistry (3 papers)Bioorganic Chemistry (2 papers)Molecules (2 papers)
- Partner nations
- ItalyGermanyNetherlands
In The Last Decade
Francesca Munari
50 papers receiving 779 citations
Peers
Comparison fields: 5 of 87
- Neurology 129
- Physiology 200
- Biochemistry 44
- Molecular Biology 483
- Cell Biology 86
Countries citing papers authored by Francesca Munari
This map shows the geographic impact of Francesca Munari'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 Munari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Munari more than expected).
Fields of papers citing papers by Francesca Munari
This network shows the impact of papers produced by Francesca Munari. 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 Munari. The network helps show where Francesca Munari may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Munari, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 80 | |
| 2 | 2012 | 57 | |
| 3 | 2014 | 57 | |
| 4 | 2017 | 41 | |
| 5 | 2015 | 39 | |
| 6 | 2020 | 35 | |
| 7 | 2022 | 28 | |
| 8 | 2013 | 28 | |
| 9 | 2014 | 27 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 23 | |
| 13 | 2013 | 22 | |
| 14 | 2018 | 18 | |
| 15 | 2022 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2020 | 15 |
About Francesca Munari
Francesca Munari is a scholar working on Molecular Biology, Physiology, Cell Biology, Neurology and Materials Chemistry, having authored 51 papers that have together received 782 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (17 papers), Ubiquitin and proteasome pathways (15 papers), Protein Structure and Dynamics (11 papers), Endoplasmic Reticulum Stress and Disease (7 papers), RNA Research and Splicing (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), RNA and protein synthesis mechanisms (6 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Neurology (129 citations), Physiology (200 citations), Biochemistry (44 citations), Molecular Biology (483 citations) and Cell Biology (86 citations). Francesca Munari has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include Michael Assfalg, Mariapina D’Onofrio, Markus Zweckstetter, Luigi Bubacco, Stefano Capaldi, Stefan Becker, Nasrollah Rezaei‐Ghaleh, Stefano Mammi, Isabella Tessari and Laura Tosatto. Their work appears in journals such as Angewandte Chemie International Edition, International Journal of Biological Macromolecules, Journal of Biological Chemistry, Bioorganic Chemistry and Molecules.
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.