Arianna Maffei
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 36
- Photoreceptor and optogenetics research 9
- Neuroscience and Neural Engineering 4
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 29
- Developmental Neuroscience top 1%
- Neurology top 2%
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies 6
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- Biochemical Analysis and Sensing Techniques 8
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- Retinal Development and Disorders 7
- Receptor Mechanisms and Signaling 4
- Co-authors
- Gina G. TurrigianoSacha B. NelsonAlfredo FontaniniVardhan S. DaniRudolf JaenischQiang ChangK. S. NatarajMelissa S. Haley
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Arianna Maffei
43 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 2.0k
- Cognitive Neuroscience 1.9k
- Developmental Neuroscience 319
- Neurology 473
- Sensory Systems 274
Countries citing papers authored by Arianna Maffei
This map shows the geographic impact of Arianna Maffei'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 Arianna Maffei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arianna Maffei more than expected).
Fields of papers citing papers by Arianna Maffei
This network shows the impact of papers produced by Arianna Maffei. 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 Arianna Maffei. The network helps show where Arianna Maffei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arianna Maffei, 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 | 2021 | 14 | |
| 2 | 2020 | 24 | |
| 3 | 2020 | 7 | |
| 4 | 2020 | 17 | |
| 5 | 2017 | 20 | |
| 6 | 2017 | 5 | |
| 7 | 2016 | 126 | |
| 8 | 2016 | 29 | |
| 9 | 2016 | 17 | |
| 10 | 2015 | 115 | |
| 11 | 2014 | 65 | |
| 12 | 2013 | 34 | |
| 13 | 2012 | 1 | |
| 14 | 2012 | 83 | |
| 15 | 2012 | 32 | |
| 16 | 2011 | 7 | |
| 17 | 2011 | 19 | |
| 18 | 2008 | 83 | |
| 19 | 2008 | 223 | |
| 20 | 2006 | 313 |
About Arianna Maffei
Arianna Maffei is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 44 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (36 papers), Neural dynamics and brain function (29 papers), Photoreceptor and optogenetics research (9 papers), Biochemical Analysis and Sensing Techniques (8 papers), Retinal Development and Disorders (7 papers), Olfactory and Sensory Function Studies (6 papers), Neuroscience and Neural Engineering (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Cognitive Neuroscience (1.9k citations) and Developmental Neuroscience (319 citations). Arianna Maffei has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Gina G. Turrigiano, Sacha B. Nelson, Alfredo Fontanini, Vardhan S. Dani, Rudolf Jaenisch, Qiang Chang, K. S. Nataraj, Melissa S. Haley, Lang Wang and Michelle L. Kloc. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.