Nicholas D. Mazarakis
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 6
- Genetics top 1%
- Virus-based gene therapy research 26
- Neurogenetic and Muscular Disorders Research 6
- Neurology top 1%
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- Nerve injury and regeneration 11
- Hereditary Neurological Disorders 5
- Genetics top 1%
- Virus-based gene therapy research 26
- Neurogenetic and Muscular Disorders Research 6
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- RNA Interference and Gene Delivery 13
- CRISPR and Genetic Engineering 9
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- Multiple Sclerosis Research Studies 6
- Co-authors
- Susan M. KingsmanMimoun AzzouzKyriacos MitrophanousG. RalphLiang‐Fong WongLucy E. WalmsleyPeter CarmelietErik Storkebaum
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Nicholas D. Mazarakis
63 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 323
- Genetics 675
- Neurology 883
- Cellular and Molecular Neuroscience 1.0k
- Genetics 1.3k
Countries citing papers authored by Nicholas D. Mazarakis
This map shows the geographic impact of Nicholas D. Mazarakis'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 Nicholas D. Mazarakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas D. Mazarakis more than expected).
Fields of papers citing papers by Nicholas D. Mazarakis
This network shows the impact of papers produced by Nicholas D. Mazarakis. 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 Nicholas D. Mazarakis. The network helps show where Nicholas D. Mazarakis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas D. Mazarakis, 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 | 19 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 60 | |
| 4 | 2021 | 73 | |
| 5 | 2020 | 51 | |
| 6 | 2018 | 43 | |
| 7 | 2014 | 30 | |
| 8 | 2013 | 22 | |
| 9 | 2013 | 19 | |
| 10 | 2012 | 36 | |
| 11 | 2006 | 53 | |
| 12 | 2006 | 36 | |
| 13 | 2006 | 65 | |
| 14 | 2004 | 157 | |
| 15 | 2004 | 465 | |
| 16 | 2004 | 56 | |
| 17 | 2004 | 40 | |
| 18 | 2002 | 29 | |
| 19 | 2001 | 340 | |
| 20 | 2000 | 95 |
About Nicholas D. Mazarakis
Nicholas D. Mazarakis is a scholar working on Developmental Neuroscience, Genetics and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 4.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (26 papers), RNA Interference and Gene Delivery (13 papers), Nerve injury and regeneration (11 papers), CRISPR and Genetic Engineering (9 papers), Multiple Sclerosis Research Studies (6 papers), Neurogenetic and Muscular Disorders Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Hereditary Neurological Disorders (5 papers). The work is most often cited by research in Developmental Neuroscience (323 citations), Genetics (675 citations) and Neurology (883 citations). Nicholas D. Mazarakis has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Susan M. Kingsman, Mimoun Azzouz, Kyriacos Mitrophanous, G. Ralph, Liang‐Fong Wong, Lucy E. Walmsley, Peter Carmeliet, Erik Storkebaum, Fraser J. Wilkes and Alan J. Kingsman. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.