Mario F. Pozza
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 16
- Neuropeptides and Animal Physiology 3
- Nerve injury and regeneration 2
- Developmental Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms 3
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 2
- Neurology top 5%
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- Receptor Mechanisms and Signaling 7
- Nicotinic Acetylcholine Receptors Study 6
- Ion channel regulation and function 5
- Co-authors
- Ceri H. DaviesGraham L. CollingridgeSarah J. StarkeyKurt LingenhoehlYves P. AubersonTak Pan WongYushan WangMorgan Sheng
- Journals
- Nature (1 paper)Science (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- SwitzerlandUnited KingdomCanada
In The Last Decade
Mario F. Pozza
19 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 2.0k
- Developmental Neuroscience 180
- Cognitive Neuroscience 740
- Biological Psychiatry 74
- Neurology 232
Countries citing papers authored by Mario F. Pozza
This map shows the geographic impact of Mario F. Pozza'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 Mario F. Pozza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario F. Pozza more than expected).
Fields of papers citing papers by Mario F. Pozza
This network shows the impact of papers produced by Mario F. Pozza. 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 Mario F. Pozza. The network helps show where Mario F. Pozza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario F. Pozza, 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 | Role of NMDA Receptor Subtypes in Governing the Direction of Hippocampal Synaptic Plasticitybreakdown → | 2004 | 917 |
| 2 | 2003 | 153 | |
| 3 | 2003 | 21 | |
| 4 | 2000 | 8 | |
| 5 | 1999 | 3 | |
| 6 | 1998 | 3 | |
| 7 | 1998 | 11 | |
| 8 | 1994 | 29 | |
| 9 | 1993 | 79 | |
| 10 | 1991 | 186 | |
| 11 | 1991 | 484 | |
| 12 | 1990 | 272 | |
| 13 | 1990 | 24 | |
| 14 | 1990 | 24 | |
| 15 | 1988 | 22 | |
| 16 | 1988 | 20 | |
| 17 | 1988 | 35 | |
| 18 | 1988 | 48 | |
| 19 | 1987 | 24 |
About Mario F. Pozza
Mario F. Pozza is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Developmental Neuroscience, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Receptor Mechanisms and Signaling (7 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (5 papers), Neuropeptides and Animal Physiology (3 papers), Memory and Neural Mechanisms (3 papers), Tryptophan and brain disorders (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Developmental Neuroscience (180 citations) and Cognitive Neuroscience (740 citations). Mario F. Pozza has collaborated with scholars based in Switzerland, United Kingdom and Canada. Frequent co-authors include Ceri H. Davies, Graham L. Collingridge, Sarah J. Starkey, Kurt Lingenhoehl, Yves P. Auberson, Tak Pan Wong, Yushan Wang, Morgan Sheng, Lidong Liu and Hans-Rudolf Olpe. Their work appears in journals such as Nature, Science and Journal of Pharmacology and Experimental Therapeutics.
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.