Ryan Low
Impact in
- Neurology top 0.5%
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
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- Intensive Care Unit Cognitive Disorders
Papers in
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- Long-Term Effects of COVID-19 3
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- Neural dynamics and brain function 2
- Memory and Neural Mechanisms 2
- Co-authors
- Athena Akrami (3 shared papers)Lisa McCorkell (2 shared papers)Gina Assaf (2 shared papers)Hannah Wei (2 shared papers)Signe Redfield (2 shared papers)Jared P. Austin (2 shared papers)Hannah Davis (2 shared papers)Yochai Re’em (1 shared paper)
- Journals
- Nature (2 papers)British Journal of Haematology (1 paper)Hematological Oncology (1 paper)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ryan Low
14 papers receiving 2.2k citations
Ryan Low's Hit Papers
Peers
Comparison fields: 5 of 120
- Neurology 1.5k
- Critical Care and Intensive Care Medicine 285
- Infectious Diseases 406
- Clinical Psychology 409
- Neurology 156
Countries citing papers authored by Ryan Low
This map shows the geographic impact of Ryan Low'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 Ryan Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Low more than expected).
Fields of papers citing papers by Ryan Low
This network shows the impact of papers produced by Ryan Low. 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 Ryan Low. The network helps show where Ryan Low may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Low, 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 | Characterizing long COVID in an international cohort: 7 months of symptoms and their impact Hit paper breakdown → | 2021 | 1785 |
| 2 | Geometry of abstract learned knowledge in the hippocampus Hit paper breakdown → | 2021 | 172 |
| 3 | A review of cytokine-based pathophysiology of Long COVID symptoms Hit paper breakdown → | 2023 | 99 |
| 4 | 2014 | 93 | |
| 5 | 2021 | 40 | |
| 6 | 2024 | 28 | |
| 7 | 2020 | 24 | |
| 8 | 2017 | 17 | |
| 9 | 2019 | 11 | |
| 10 | 2017 | 5 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2017 | 0 |
About Ryan Low
Ryan Low is a scholar working on Neurology, Cognitive Neuroscience, Immunology, Infectious Diseases and Genetics, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complement system in diseases (3 papers), Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Neural dynamics and brain function (2 papers), COVID-19 Clinical Research Studies (2 papers), Memory and Neural Mechanisms (2 papers), Vitamin C and Antioxidants Research (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Neurology (1.5k citations), Critical Care and Intensive Care Medicine (285 citations), Infectious Diseases (406 citations), Clinical Psychology (409 citations) and Neurology (156 citations). Ryan Low has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Athena Akrami, Lisa McCorkell, Gina Assaf, Hannah Wei, Signe Redfield, Jared P. Austin, Hannah Davis, Yochai Re’em, David W. Tank and Russell N. Low. Their work appears in journals such as Nature, British Journal of Haematology, Hematological Oncology, Blood and Proceedings of the National Academy of Sciences.
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.