Alicia M. Pickrell
Impact in
Papers in
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- Mitochondrial Function and Pathology 13
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- Genetic Neurodegenerative Diseases 6
- Nuclear Receptors and Signaling 3
- Co-authors
- Richard J. Youle (6 shared papers)Carlos T. Moraes (12 shared papers)Milena Pinto (9 shared papers)Hirokazu Fukui (3 shared papers)Shireen A. Sarraf (4 shared papers)Chiu-Hui Huang (3 shared papers)Dionisia P. Sideris (2 shared papers)Aline Hida (3 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Neuron (2 papers)Scientific Reports (1 paper)Human Molecular Genetics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIsraelEgypt
In The Last Decade
Alicia M. Pickrell
34 papers receiving 2.9k citations
Alicia M. Pickrell's Hit Papers
Peers
Comparison fields: 5 of 104
- Neurology 855
- Aging 66
- Neurology 303
- Epidemiology 1.1k
- Clinical Biochemistry 209
Countries citing papers authored by Alicia M. Pickrell
This map shows the geographic impact of Alicia M. Pickrell'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 Alicia M. Pickrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicia M. Pickrell more than expected).
Fields of papers citing papers by Alicia M. Pickrell
This network shows the impact of papers produced by Alicia M. Pickrell. 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 Alicia M. Pickrell. The network helps show where Alicia M. Pickrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Alicia M. Pickrell, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Roles of PINK1, Parkin, and Mitochondrial Fidelity in Parkinson’s Disease Hit paper breakdown → | 2015 | 1652 |
| 2 | 2015 | 251 | |
| 3 | 2020 | 105 | |
| 4 | 2011 | 96 | |
| 5 | 2019 | 96 | |
| 6 | 2011 | 92 | |
| 7 | 2019 | 72 | |
| 8 | 2019 | 72 | |
| 9 | 2008 | 50 | |
| 10 | 2016 | 46 | |
| 11 | 2013 | 45 | |
| 12 | 2013 | 40 | |
| 13 | 2009 | 40 | |
| 14 | 2012 | 37 | |
| 15 | 2022 | 36 | |
| 16 | 2019 | 26 | |
| 17 | 2012 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2021 | 17 | |
| 20 | 2013 | 16 |
About Alicia M. Pickrell
Alicia M. Pickrell is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Physiology, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (13 papers), Autophagy in Disease and Therapy (8 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Genetic Neurodegenerative Diseases (6 papers), interferon and immune responses (4 papers), Metabolism and Genetic Disorders (3 papers), Alzheimer's disease research and treatments (3 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Neurology (855 citations), Aging (66 citations), Neurology (303 citations), Epidemiology (1.1k citations) and Clinical Biochemistry (209 citations). Alicia M. Pickrell has collaborated with scholars based in United States, Israel and Egypt. Frequent co-authors include Richard J. Youle, Carlos T. Moraes, Milena Pinto, Hirokazu Fukui, Shireen A. Sarraf, Chiu-Hui Huang, Dionisia P. Sideris, Aline Hida, Alban Ordureau and J. Wade Harper. Their work appears in journals such as Journal of Neuroscience, Neuron, Scientific Reports, Human Molecular Genetics and Nature Communications.
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.