Hannah Wei
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
- Thermal Regulation in Medicine
Papers in
-
- Long-Term Effects of COVID-19 5
-
- COVID-19 and Mental Health 4
- Co-authors
- Gina Assaf (6 shared papers)Lisa McCorkell (5 shared papers)Athena Akrami (4 shared papers)Hannah Davis (5 shared papers)Yochai Re’em (4 shared papers)Ryan Low (2 shared papers)Jared P. Austin (2 shared papers)Signe Redfield (2 shared papers)
- Journals
- Scientific Reports (1 paper)Biomedical Reports (1 paper)npj Digital Medicine (1 paper)Social Science & Medicine (1 paper)PAIN Reports (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Hannah Wei
8 papers receiving 1.8k citations
Hannah Wei's Hit Papers
Peers
Comparison fields: 5 of 98
- Neurology 1.6k
- Critical Care and Intensive Care Medicine 488
- Clinical Psychology 762
- Infectious Diseases 531
- Psychiatry and Mental health 371
Countries citing papers authored by Hannah Wei
This map shows the geographic impact of Hannah Wei'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 Hannah Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Wei more than expected).
Fields of papers citing papers by Hannah Wei
This network shows the impact of papers produced by Hannah Wei. 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 Hannah Wei. The network helps show where Hannah Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah Wei, 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 | 1687 |
| 2 | 2021 | 48 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 23 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 14 | |
| 7 | 2014 | 4 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 0 |
About Hannah Wei
Hannah Wei is a scholar working on Neurology, Clinical Psychology, Psychiatry and Mental health, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), COVID-19 and Mental Health (4 papers), Psychosomatic Disorders and Their Treatments (3 papers), Parathyroid Disorders and Treatments (1 paper), Respiratory Support and Mechanisms (1 paper), Workplace Health and Well-being (1 paper), Thermal Regulation in Medicine (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Neurology (1.6k citations), Critical Care and Intensive Care Medicine (488 citations), Clinical Psychology (762 citations), Infectious Diseases (531 citations) and Psychiatry and Mental health (371 citations). Hannah Wei has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Gina Assaf, Lisa McCorkell, Athena Akrami, Hannah Davis, Yochai Re’em, Ryan Low, Jared P. Austin, Signe Redfield, Bailin Jiang and Fu‐Chou Cheng. Their work appears in journals such as Scientific Reports, Biomedical Reports, npj Digital Medicine, Social Science & Medicine and PAIN 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.