Candy C. Y. Lau
- Infectious Diseases top 0.5%
- Animal Science and Zoology top 0.2%
- Epidemiology top 5%
- Genetics top 10%
- Immunology top 10%
- Co-authors
- Kwok‐Yung YuenPatrick C. Y. WooSusanna K. P. LauKwok‐Hung ChanBo‐Jian ZhengAlan K. L. TsangJade L. L. TengCarol S. F. Lam
- Topics
- Antifungal resistance and susceptibility (10 papers)Animal Virus Infections Studies (10 papers)Fungal Infections and Studies (9 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Candy C. Y. Lau
33 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Infectious Diseases 2.1k
- Animal Science and Zoology 1.1k
- Epidemiology 654
- Genetics 325
- Immunology 273
Countries citing papers authored by Candy C. Y. Lau
This map shows the geographic impact of Candy C. Y. Lau'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 Candy C. Y. Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candy C. Y. Lau more than expected).
Fields of papers citing papers by Candy C. Y. Lau
This network shows the impact of papers produced by Candy C. Y. Lau. 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 Candy C. Y. Lau. The network helps show where Candy C. Y. Lau may publish in the future.
Co-authorship network of co-authors of Candy C. Y. Lau
This figure shows the co-authorship network connecting the top 25 collaborators of Candy C. Y. Lau. A scholar is included among the top collaborators of Candy C. Y. Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Candy C. Y. Lau. Candy C. Y. Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 24 | |
| 3 | 26 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 19 | |
| 7 | 24 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 17 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 89 | |
| 15 | 210 | |
| 16 | 18 | |
| 17 | Discovery of Seven Novel Mammalian and Avian Coronaviruses in the Genus Deltacoronavirus Supports Bat Coronaviruses as the Gene Source of Alphacoronavirus and Betacoronavirus and Avian Coronaviruses as the Gene Source of Gammacoronavirus and Deltacoronavirusbreakdown → | 1204 |
| 18 | 68 | |
| 19 | 116 | |
| 20 | 9 |
About Candy C. Y. Lau
Candy C. Y. Lau is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (10 papers), Animal Virus Infections Studies (10 papers) and Fungal Infections and Studies (9 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Animal Science and Zoology (1.1k citations) and Modeling and Simulation (110 citations). Candy C. Y. Lau has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Kwok‐Yung Yuen, Patrick C. Y. Woo, Susanna K. P. Lau, Kwok‐Hung Chan, Bo‐Jian Zheng, Alan K. L. Tsang, Jade L. L. Teng, Carol S. F. Lam, Chi‐Ching Tsang and Ru Bai. Their work appears in journals such as PLoS ONE, Journal of Virology and FEBS Letters.
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.