Cuiting Luo
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
- Co-authors
- Shuofeng Yuan (12 shared papers)Jasper Fuk‐Woo Chan (10 shared papers)Hin Chu (8 shared papers)Jian‐Piao Cai (8 shared papers)Kwok‐Yung Yuen (8 shared papers)Kaiming Tang (9 shared papers)Kelvin Kai‐Wang To (6 shared papers)Vincent Kwok‐Man Poon (2 shared papers)
In The Last Decade
Cuiting Luo
18 papers receiving 591 citations
Cuiting Luo's Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 349
- Modeling and Simulation 60
- Neurology 81
- Animal Science and Zoology 58
- Pulmonary and Respiratory Medicine 103
Countries citing papers authored by Cuiting Luo
This map shows the geographic impact of Cuiting Luo'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 Cuiting Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cuiting Luo more than expected).
Fields of papers citing papers by Cuiting Luo
This network shows the impact of papers produced by Cuiting Luo. 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 Cuiting Luo. The network helps show where Cuiting Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Cuiting Luo, 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 | Surgical Mask Partition Reduces the Risk of Noncontact Transmission in a Golden Syrian Hamster Model for Coronavirus Disease 2019 (COVID-19) Hit paper breakdown → | 2020 | 403 |
| 2 | 2022 | 45 | |
| 3 | 2021 | 42 | |
| 4 | 2022 | 33 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2023 | 1 |
About Cuiting Luo
Cuiting Luo is a scholar working on Infectious Diseases, Molecular Biology, Artificial Intelligence, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 599 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (3 papers), Infection Control and Ventilation (2 papers), Anomaly Detection Techniques and Applications (2 papers), Trace Elements in Health (2 papers), Adipose Tissue and Metabolism (2 papers), Network Security and Intrusion Detection (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (349 citations), Modeling and Simulation (60 citations), Neurology (81 citations), Animal Science and Zoology (58 citations) and Pulmonary and Respiratory Medicine (103 citations). Cuiting Luo has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Shuofeng Yuan, Jasper Fuk‐Woo Chan, Hin Chu, Jian‐Piao Cai, Kwok‐Yung Yuen, Kaiming Tang, Kelvin Kai‐Wang To, Vincent Kwok‐Man Poon, Chris Chung‐Sing Chan and Ronghui Liang. Their work appears in journals such as Cellular and Molecular Immunology, Cell Discovery, Chemical Science, Pharmaceuticals and Frontiers in Immunology.
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.