Maria Passafaro
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 44
- Photoreceptor and optogenetics research 6
- Cell Biology 19
- Cellular transport and secretion 16
- Co-authors
- Morgan ShengCarlo SalaValentin PiëchSilvia BassaniPamela ValnegriGuosong LiuNathan R. WilsonEmanuele Sher
- Journals
- Journal of Neuroscience (6 papers)Human Molecular Genetics (5 papers)Neuron (5 papers)Nature Neuroscience (4 papers)Scientific Reports (3 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Maria Passafaro
82 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 2.8k
- Developmental Neuroscience 351
- Cell Biology 1.0k
- Neurology 364
- Molecular Biology 2.8k
Countries citing papers authored by Maria Passafaro
This map shows the geographic impact of Maria Passafaro'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 Maria Passafaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Passafaro more than expected).
Fields of papers citing papers by Maria Passafaro
This network shows the impact of papers produced by Maria Passafaro. 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 Maria Passafaro. The network helps show where Maria Passafaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Passafaro, 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 | 2022 | 5 | |
| 2 | 2022 | 9 | |
| 3 | 2022 | 7 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 25 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 9 | |
| 8 | 2018 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2017 | 78 | |
| 11 | 2016 | 10 | |
| 12 | 2016 | 21 | |
| 13 | 2014 | 34 | |
| 14 | 2011 | 86 | |
| 15 | 2011 | 74 | |
| 16 | 2004 | 70 | |
| 17 | 2002 | 193 | |
| 18 | Regulation of Dendritic Spine Morphology and Synaptic Function by Shank and Homer Hit paper breakdown → | 2001 | 564 |
| 19 | 1999 | 11 | |
| 20 | 1998 | 2 |
About Maria Passafaro
Maria Passafaro is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Immunology and Allergy, Molecular Biology and Developmental Neuroscience, having authored 82 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Ion channel regulation and function (23 papers), Genetics and Neurodevelopmental Disorders (18 papers), Cellular transport and secretion (16 papers), Nicotinic Acetylcholine Receptors Study (10 papers), Photoreceptor and optogenetics research (6 papers), RNA Research and Splicing (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Developmental Neuroscience (351 citations), Cell Biology (1.0k citations), Neurology (364 citations) and Molecular Biology (2.8k citations). Maria Passafaro has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Morgan Sheng, Carlo Sala, Valentin Piëch, Silvia Bassani, Pamela Valnegri, Guosong Liu, Nathan R. Wilson, Emanuele Sher, Terunaga Nakagawa and Luca Murru. Their work appears in journals such as Journal of Neuroscience, Human Molecular Genetics, Neuron, Nature Neuroscience and Scientific Reports.
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.