Ronghui Liang
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
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- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
- Viral Infections and Vectors 2
- Viral Infections and Outbreaks Research 2
-
- vaccines and immunoinformatics approaches 2
- Co-authors
- Shuofeng Yuan (16 shared papers)Jasper Fuk‐Woo Chan (15 shared papers)Hin Chu (13 shared papers)Kwok‐Yung Yuen (13 shared papers)Jian‐Piao Cai (9 shared papers)Jianli Cao (11 shared papers)Kaiming Tang (13 shared papers)Kelvin Kai‐Wang To (7 shared papers)
In The Last Decade
Ronghui Liang
22 papers receiving 911 citations
Ronghui Liang's Hit Papers
Peers
Comparison fields: 5 of 105
- Infectious Diseases 476
- Modeling and Simulation 70
- Animal Science and Zoology 71
- Neurology 92
- Pulmonary and Respiratory Medicine 145
Countries citing papers authored by Ronghui Liang
This map shows the geographic impact of Ronghui Liang'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 Ronghui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronghui Liang more than expected).
Fields of papers citing papers by Ronghui Liang
This network shows the impact of papers produced by Ronghui Liang. 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 Ronghui Liang. The network helps show where Ronghui Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronghui Liang, 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 | 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 | 400 |
| 2 | 2020 | 88 | |
| 3 | 2019 | 54 | |
| 4 | 2020 | 50 | |
| 5 | 2020 | 48 | |
| 6 | 2020 | 48 | |
| 7 | 2020 | 44 | |
| 8 | 2021 | 42 | |
| 9 | 2019 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 1994 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 4 |
About Ronghui Liang
Ronghui Liang is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 22 papers that have together received 927 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Computational Drug Discovery Methods (2 papers), Viral Infections and Vectors (2 papers), Mosquito-borne diseases and control (2 papers), Viral Infections and Outbreaks Research (2 papers), vaccines and immunoinformatics approaches (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Infectious Diseases (476 citations), Modeling and Simulation (70 citations), Animal Science and Zoology (71 citations), Neurology (92 citations) and Pulmonary and Respiratory Medicine (145 citations). Ronghui Liang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Shuofeng Yuan, Jasper Fuk‐Woo Chan, Hin Chu, Kwok‐Yung Yuen, Jian‐Piao Cai, Jianli Cao, Kaiming Tang, Kelvin Kai‐Wang To, Vincent Kwok‐Man Poon and Jinxia Zhang. Their work appears in journals such as International Journal of Biological Sciences, Viruses, Nature Communications, Cancer Letters and Pharmacological Research.
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.