Marina Quartu
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 21
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- Nerve injury and regeneration 23
- Neuropeptides and Animal Physiology 20
- Neuroscience and Neuropharmacology Research 9
- Sensory Systems top 5%
- Biological Psychiatry top 10%
- Neurology top 5%
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- Receptor Mechanisms and Signaling 10
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- Pain Mechanisms and Treatments 8
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- Cannabis and Cannabinoid Research 7
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- Hypothalamic control of reproductive hormones 6
- Co-authors
- M. Del FiaccoMaria Pina SerraMarianna BoiMaria Letizia LaiTiziana MelisLaura PoddigheGuido CavalettiJohn V. Priestley
- Journals
- Brain Research (9 papers)International Journal of Molecular Sciences (6 papers)Neuroreport (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marina Quartu
86 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Developmental Neuroscience 220
- Cellular and Molecular Neuroscience 635
- Sensory Systems 98
- Biological Psychiatry 49
- Neurology 160
Countries citing papers authored by Marina Quartu
This map shows the geographic impact of Marina Quartu'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 Marina Quartu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Quartu more than expected).
Fields of papers citing papers by Marina Quartu
This network shows the impact of papers produced by Marina Quartu. 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 Marina Quartu. The network helps show where Marina Quartu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marina Quartu, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 50 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 67 | |
| 15 | 2019 | 13 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 13 | |
| 18 | 2018 | 28 | |
| 19 | 2018 | 15 | |
| 20 | 2017 | 15 |
About Marina Quartu
Marina Quartu is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Neurology and Sensory Systems, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nerve injury and regeneration (23 papers), Neurogenesis and neuroplasticity mechanisms (21 papers), Neuropeptides and Animal Physiology (20 papers), Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Pain Mechanisms and Treatments (8 papers), Cannabis and Cannabinoid Research (7 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Developmental Neuroscience (220 citations), Cellular and Molecular Neuroscience (635 citations), Sensory Systems (98 citations), Biological Psychiatry (49 citations) and Neurology (160 citations). Marina Quartu has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include M. Del Fiacco, Maria Pina Serra, Marianna Boi, Maria Letizia Lai, Tiziana Melis, Laura Poddighe, Guido Cavaletti, John V. Priestley, Paolo Follesa and Giacomo Diaz. Their work appears in journals such as Brain Research, International Journal of Molecular Sciences, Neuroreport, Annals of the New York Academy of Sciences and Lipids in Health and Disease.
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.