Amanda Zhou
Impact in
- Communication top 5%
- Social Media and Politics
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- Misinformation and Its Impacts
- Media Influence and Politics
Papers in
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- Cutaneous lymphoproliferative disorders research 2
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- Autoimmune Bullous Skin Diseases 3
- Co-authors
- Jonathan W. Martin (1 shared paper)Jonathan A. Busam (1 shared paper)Katherine Clayton (1 shared paper)Evan Morgan (1 shared paper)Brendan Nyhan (1 shared paper)Richard J. Antaya (2 shared papers)Wei Gu (1 shared paper)Muyang Li (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (1 paper)Cancers (1 paper)Andrologia (1 paper)Cell Research (1 paper)Pediatric Dermatology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Amanda Zhou
11 papers receiving 525 citations
Amanda Zhou's Hit Papers
Peers
Comparison fields: 5 of 90
- Communication 181
- Sociology and Political Science 334
- Artificial Intelligence 139
- Literature and Literary Theory 42
- Information Systems 54
Countries citing papers authored by Amanda Zhou
This map shows the geographic impact of Amanda Zhou'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 Amanda Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Zhou more than expected).
Fields of papers citing papers by Amanda Zhou
This network shows the impact of papers produced by Amanda Zhou. 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 Amanda Zhou. The network helps show where Amanda Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda Zhou, 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 | Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact-Check Tags in Reducing Belief in False Stories on Social Media Hit paper breakdown → | 2019 | 367 |
| 2 | 2013 | 62 | |
| 3 | 2012 | 51 | |
| 4 | 2020 | 25 | |
| 5 | 2018 | 16 | |
| 6 | A Report of Physicians' Beliefs about Physician-Assisted Suicide: A National Study. | 2019 | 16 |
| 7 | 2021 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Amanda Zhou
Amanda Zhou is a scholar working on Dermatology, Pathology and Forensic Medicine, Epidemiology, Molecular Biology and Oncology, having authored 12 papers that have together received 546 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (3 papers), Nail Diseases and Treatments (2 papers), Fungal Infections and Studies (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Pancreatic function and diabetes (1 paper), Urticaria and Related Conditions (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in Communication (181 citations), Sociology and Political Science (334 citations), Artificial Intelligence (139 citations), Literature and Literary Theory (42 citations) and Information Systems (54 citations). Amanda Zhou has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jonathan W. Martin, Jonathan A. Busam, Katherine Clayton, Evan Morgan, Brendan Nyhan, Richard J. Antaya, Wei Gu, Muyang Li, Alicia J. Little and Ramon Parsons. Their work appears in journals such as Journal of the American Academy of Dermatology, Cancers, Andrologia, Cell Research and Pediatric Dermatology.
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.