Cuiyan Tan
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Asthma and respiratory diseases 3
-
- COVID-19 Clinical Research Studies 2
- Co-authors
- Meizhu Chen (16 shared papers)Yiying Huang (9 shared papers)Jian Wu (7 shared papers)Jin Huang (6 shared papers)Jing Liu (7 shared papers)Liyun Luo (2 shared papers)Zhenguo Wang (5 shared papers)Gao Fen (1 shared paper)
In The Last Decade
Cuiyan Tan
20 papers receiving 664 citations
Cuiyan Tan's Hit Papers
Peers
Comparison fields: 5 of 96
- Neurology 273
- Infectious Diseases 215
- Critical Care and Intensive Care Medicine 42
- Modeling and Simulation 43
- Molecular Medicine 28
Countries citing papers authored by Cuiyan Tan
This map shows the geographic impact of Cuiyan Tan'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 Cuiyan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiyan Tan more than expected).
Fields of papers citing papers by Cuiyan Tan
This network shows the impact of papers produced by Cuiyan Tan. 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 Cuiyan Tan. The network helps show where Cuiyan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiyan Tan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impact of coronavirus disease 2019 on pulmonary function in early convalescence phase Hit paper breakdown → | 2020 | 376 |
| 2 | 2020 | 92 | |
| 3 | 2019 | 41 | |
| 4 | 2004 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2022 | 24 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 15 | |
| 9 | 1989 | 11 | |
| 10 | 2020 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 1 |
About Cuiyan Tan
Cuiyan Tan is a scholar working on Physiology, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 21 papers that have together received 678 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Pediatric health and respiratory diseases (2 papers), COVID-19 and Mental Health (2 papers), IL-33, ST2, and ILC Pathways (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Neurology (273 citations), Infectious Diseases (215 citations), Critical Care and Intensive Care Medicine (42 citations), Modeling and Simulation (43 citations) and Molecular Medicine (28 citations). Cuiyan Tan has collaborated with scholars based in China, Egypt and Singapore. Frequent co-authors include Meizhu Chen, Yiying Huang, Jian Wu, Jin Huang, Jing Liu, Liyun Luo, Zhenguo Wang, Gao Fen, Xinran Liu and Hong Shan. Their work appears in journals such as Clinical and Translational Allergy, Infection and Drug Resistance, Advanced Science, Pediatric Allergy and Immunology and European Archives of Psychiatry and Clinical Neuroscience.
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.