M. Laura Feltri
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Cell Biology top 0.5%
- Developmental Neuroscience top 0.1%
- Neurology top 1%
- Co-authors
- Lawrence WrabetzStefano C. PrevitaliCarla TaveggiaAngelo QuattriniMaurizio D’AntonioAlbee MessingYannick PoitelonKelly R. Monk
- Topics
- Hereditary Neurological Disorders (67 papers)Nerve injury and regeneration (51 papers)Neurogenesis and neuroplasticity mechanisms (26 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
M. Laura Feltri
147 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 118
- Cellular and Molecular Neuroscience 4.8k
- Molecular Biology 3.4k
- Cell Biology 1.9k
- Developmental Neuroscience 1.7k
- Neurology 896
Countries citing papers authored by M. Laura Feltri
This map shows the geographic impact of M. Laura Feltri'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 M. Laura Feltri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Laura Feltri more than expected).
Fields of papers citing papers by M. Laura Feltri
This network shows the impact of papers produced by M. Laura Feltri. 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 M. Laura Feltri. The network helps show where M. Laura Feltri may publish in the future.
Co-authorship network of co-authors of M. Laura Feltri
This figure shows the co-authorship network connecting the top 25 collaborators of M. Laura Feltri. A scholar is included among the top collaborators of M. Laura Feltri 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 M. Laura Feltri. M. Laura Feltri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 27 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 11 | |
| 11 | 49 | |
| 12 | 31 | |
| 13 | 25 | |
| 14 | 10 | |
| 15 | 88 | |
| 16 | 262 | |
| 17 | 211 | |
| 18 | 28 | |
| 19 | 36 | |
| 20 | 9 |
About M. Laura Feltri
M. Laura Feltri is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 150 papers that have together received 7.7k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (67 papers), Nerve injury and regeneration (51 papers) and Neurogenesis and neuroplasticity mechanisms (26 papers). The work is most often cited by research in Developmental Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (4.8k citations) and Cell Biology (1.9k citations). M. Laura Feltri has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Lawrence Wrabetz, Stefano C. Previtali, Carla Taveggia, Angelo Quattrini, Maurizio D’Antonio, Albee Messing, Yannick Poitelon, Kelly R. Monk, Alessandro Nodari and Ubaldo Del Carro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.