Danielle Moreno
Impact in
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
-
- Genetic Neurodegenerative Diseases
Papers in
- Neurology 18
- Amyotrophic Lateral Sclerosis Research 15
- Parkinson's Disease Mechanisms and Treatments 3
-
- Alzheimer's disease research and treatments 2
- Co-authors
- Christine Sato (22 shared papers)Ekaterina A. Rogaeva (22 shared papers)Lorne H. Zinman (12 shared papers)Zhengrui Xi (10 shared papers)Mahdi Ghani (9 shared papers)Yan Liang (6 shared papers)Julia Lee Keith (5 shared papers)Yonglan Zheng (2 shared papers)
- Journals
- Neurobiology of Aging (6 papers)Neurology (3 papers)Acta Neuropathologica (3 papers)Movement Disorders (2 papers)Journal of Neurology (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Danielle Moreno
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 30
- Neurology 720
- Cellular and Molecular Neuroscience 37
- Physiology 66
- Psychiatry and Mental health 49
- Molecular Biology 140
Countries citing papers authored by Danielle Moreno
This map shows the geographic impact of Danielle Moreno'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 Danielle Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Moreno more than expected).
Fields of papers citing papers by Danielle Moreno
This network shows the impact of papers produced by Danielle Moreno. 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 Danielle Moreno. The network helps show where Danielle Moreno may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Moreno, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 231 | |
| 2 | 2015 | 115 | |
| 3 | 2015 | 94 | |
| 4 | 2012 | 93 | |
| 5 | 2014 | 78 | |
| 6 | 2017 | 56 | |
| 7 | 2012 | 49 | |
| 8 | 2015 | 46 | |
| 9 | 2014 | 43 | |
| 10 | 2016 | 42 | |
| 11 | 2020 | 42 | |
| 12 | 2012 | 37 | |
| 13 | 2013 | 37 | |
| 14 | 2009 | 35 | |
| 15 | 2010 | 35 | |
| 16 | 2014 | 35 | |
| 17 | 2017 | 32 | |
| 18 | 2020 | 21 | |
| 19 | 2007 | 20 | |
| 20 | 2021 | 17 |
About Danielle Moreno
Danielle Moreno is a scholar working on Neurology, Physiology, Epidemiology, Psychiatry and Mental health and Genetics, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (15 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (2 papers), Traumatic Brain Injury Research (2 papers), Genomic variations and chromosomal abnormalities (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Neurology (720 citations), Cellular and Molecular Neuroscience (37 citations), Physiology (66 citations), Psychiatry and Mental health (49 citations) and Molecular Biology (140 citations). Danielle Moreno has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Christine Sato, Ekaterina A. Rogaeva, Lorne H. Zinman, Zhengrui Xi, Mahdi Ghani, Yan Liang, Julia Lee Keith, Yonglan Zheng, Samar Dib and Jennifer C. Schymick. Their work appears in journals such as Neurobiology of Aging, Neurology, Acta Neuropathologica, Movement Disorders and Journal of Neurology.
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.