M. Laura Feltri
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms 26
- Cellular and Molecular Neuroscience top 0.2%
- Hereditary Neurological Disorders 67
- Nerve injury and regeneration 51
- Axon Guidance and Neuronal Signaling 18
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 19
- Endoplasmic Reticulum Stress and Disease 17
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 18
- Neurology top 1%
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- Signaling Pathways in Disease 15
- Co-authors
- Lawrence WrabetzStefano C. PrevitaliCarla TaveggiaAngelo QuattriniMaurizio D’AntonioAlbee MessingYannick PoitelonKelly R. Monk
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)Nature Communications (3 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
M. Laura Feltri
147 papers receiving 7.6k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 1.7k
- Cellular and Molecular Neuroscience 4.8k
- Cell Biology 1.9k
- Immunology and Allergy 625
- Neurology 698
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
The 25 scholars most cited alongside M. Laura Feltri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 4 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 11 | |
| 11 | 2017 | 49 | |
| 12 | 2013 | 31 | |
| 13 | 2012 | 25 | |
| 14 | 2010 | 10 | |
| 15 | 2009 | 88 | |
| 16 | 2009 | 262 | |
| 17 | 2008 | 211 | |
| 18 | 2001 | 28 | |
| 19 | 1998 | 36 | |
| 20 | 1995 | 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), Neurogenesis and neuroplasticity mechanisms (26 papers), Cellular Mechanics and Interactions (19 papers), Axon Guidance and Neuronal Signaling (18 papers), Cell Adhesion Molecules Research (18 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and Signaling Pathways in Disease (15 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.