Owen Dando
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in ⓘ
- Neurology 11
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Amyotrophic Lateral Sclerosis Research 5
- Co-authors
- Giles E. Hardingham (25 shared papers)Peter C. Kind (16 shared papers)Paul Baxter (10 shared papers)David J. A. Wyllie (9 shared papers)Siddharthan Chandran (13 shared papers)Xin He (11 shared papers)Sean McKay (3 shared papers)Karen Burr (9 shared papers)
- Journals
- Nature Communications (4 papers)Molecular Autism (3 papers)Glia (3 papers)Brain Communications (2 papers)Cell Reports (2 papers)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Owen Dando
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Neurology 296
- Developmental Neuroscience 133
- Biological Psychiatry 41
- Cellular and Molecular Neuroscience 294
- Neurology 203
Countries citing papers authored by Owen Dando
This map shows the geographic impact of Owen Dando'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 Owen Dando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen Dando more than expected).
Fields of papers citing papers by Owen Dando
This network shows the impact of papers produced by Owen Dando. 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 Owen Dando. The network helps show where Owen Dando may publish in the future.
Co-authors
The 25 scholars most cited alongside Owen Dando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 216 | |
| 2 | 2019 | 83 | |
| 3 | 2021 | 82 | |
| 4 | 2021 | 74 | |
| 5 | 2016 | 66 | |
| 6 | 2017 | 63 | |
| 7 | 2019 | 54 | |
| 8 | 2019 | 45 | |
| 9 | 2020 | 37 | |
| 10 | 2021 | 35 | |
| 11 | 2021 | 33 | |
| 12 | 2020 | 31 | |
| 13 | 2022 | 30 | |
| 14 | 2016 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2018 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2023 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2014 | 13 |
About Owen Dando
Owen Dando is a scholar working on Neurology, Developmental Neuroscience, Biological Psychiatry, Genetics and Neurology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Autism Spectrum Disorder Research (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (4 papers), RNA modifications and cancer (4 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). The work is most often cited by research in Neurology (296 citations), Developmental Neuroscience (133 citations), Biological Psychiatry (41 citations), Cellular and Molecular Neuroscience (294 citations) and Neurology (203 citations). Owen Dando has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Giles E. Hardingham, Peter C. Kind, Paul Baxter, David J. A. Wyllie, Siddharthan Chandran, Xin He, Sean McKay, Karen Burr, Nóra M. Márkus and T. Ian Simpson. Their work appears in journals such as Nature Communications, Molecular Autism, Glia, Brain Communications and Cell 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.