Cuiyan Tan
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Antibiotic Resistance in Bacteria 2
-
- Asthma and respiratory diseases 3
- Co-authors
- Meizhu Chen (15 shared papers)Yiying Huang (8 shared papers)Jian Zhong Wu (7 shared papers)Jin Huang (5 shared papers)Jing Liu (7 shared papers)Liyun Luo (2 shared papers)Zhenguo Wang (5 shared papers)Xinran Liu (1 shared paper)
In The Last Decade
Cuiyan Tan
22 papers receiving 758 citations
Peers
Comparison fields: 5 of 105
- Neurology 298
- Infectious Diseases 221
- Critical Care and Intensive Care Medicine 47
- Modeling and Simulation 38
- Molecular Medicine 36
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 408 | |
| 2 | 2020 | 92 | |
| 3 | 2019 | 42 | |
| 4 | 2022 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2004 | 27 | |
| 8 | 2020 | 25 | |
| 9 | 2021 | 15 | |
| 10 | 1989 | 13 | |
| 11 | 2024 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2021 | 3 |
About Cuiyan Tan
Cuiyan Tan is a scholar working on Molecular Medicine, Physiology, Emergency Medical Services, Immunology and Neurology, having authored 22 papers that have together received 774 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Pediatric health and respiratory diseases (2 papers), Antibiotic Resistance in Bacteria (2 papers), Long-Term Effects of COVID-19 (2 papers), Mast cells and histamine (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Neurology (298 citations), Infectious Diseases (221 citations), Critical Care and Intensive Care Medicine (47 citations), Modeling and Simulation (38 citations) and Molecular Medicine (36 citations). Cuiyan Tan has collaborated with scholars based in China, Egypt and Hong Kong. Frequent co-authors include Meizhu Chen, Yiying Huang, Jian Zhong Wu, Jin Huang, Jing Liu, Liyun Luo, Zhenguo Wang, Xinran Liu, Gao Fen and Xiaoling Huang. Their work appears in journals such as Clinical and Translational Allergy, Infection and Drug Resistance, Frontiers in Medicine, American Journal of Respiratory and Critical Care Medicine and Clinical & Experimental Allergy.
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.