Ryan J. Low
Impact in
- Neurology top 0.5%
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Intensive Care Unit Cognitive Disorders
Papers in
-
- Long-Term Effects of COVID-19 2
- Co-authors
- Athena Akrami (2 shared papers)Hannah Davis (1 shared paper)Gina Assaf (1 shared paper)Yochai Re’em (1 shared paper)Jared P. Austin (1 shared paper)Hannah Wei (1 shared paper)Lisa McCorkell (1 shared paper)Signe Redfield (1 shared paper)
- Journals
- Nature (2 papers)British Journal of Anaesthesia (1 paper)HPB (1 paper)EClinicalMedicine (1 paper)Hematological Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ryan J. Low
14 papers receiving 2.4k citations
Ryan J. Low's Hit Papers
Peers
Comparison fields: 5 of 121
- Neurology 1.7k
- Critical Care and Intensive Care Medicine 311
- Infectious Diseases 446
- Clinical Psychology 437
- Neurology 162
Countries citing papers authored by Ryan J. Low
This map shows the geographic impact of Ryan J. 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 J. 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 J. Low more than expected).
Fields of papers citing papers by Ryan J. Low
This network shows the impact of papers produced by Ryan J. 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 J. Low. The network helps show where Ryan J. Low may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan J. 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 | 2005 |
| 2 | 2021 | 174 | |
| 3 | A review of cytokine-based pathophysiology of Long COVID symptoms Hit paper breakdown → | 2023 | 109 |
| 4 | 2014 | 91 | |
| 5 | 2024 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2023 | 24 | |
| 8 | 2017 | 21 | |
| 9 | 2019 | 12 | |
| 10 | 2017 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2017 | 0 |
About Ryan J. Low
Ryan J. Low is a scholar working on Hematology, Neurology, Cognitive Neuroscience, Immunology and Genetics, having authored 15 papers that have together received 2.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (2 papers), Complement system in diseases (2 papers), Memory and Neural Mechanisms (2 papers), Long-Term Effects of COVID-19 (2 papers), Neural dynamics and brain function (2 papers), COVID-19 Clinical Research Studies (1 paper), Neural and Behavioral Psychology Studies (1 paper) and Biomedical and Engineering Education (1 paper). The work is most often cited by research in Neurology (1.7k citations), Critical Care and Intensive Care Medicine (311 citations), Infectious Diseases (446 citations), Clinical Psychology (437 citations) and Neurology (162 citations). Ryan J. Low has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Athena Akrami, Hannah Davis, Gina Assaf, Yochai Re’em, Jared P. Austin, Hannah Wei, Lisa McCorkell, Signe Redfield, David W. Tank and Russell N. Low. Their work appears in journals such as Nature, British Journal of Anaesthesia, HPB, EClinicalMedicine and Hematological Oncology.
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.