Su‐Vui Lo

22 papers and 2.0k indexed citations i.

About

Su‐Vui Lo is a scholar working on Epidemiology, Modeling and Simulation and General Health Professions. According to data from OpenAlex, Su‐Vui Lo has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 9 papers in Modeling and Simulation and 5 papers in General Health Professions. Recurrent topics in Su‐Vui Lo’s work include Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (9 papers) and Respiratory viral infections research (5 papers). Su‐Vui Lo is often cited by papers focused on Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (9 papers) and Respiratory viral infections research (5 papers). Su‐Vui Lo collaborates with scholars based in Hong Kong, United Kingdom and Canada. Su‐Vui Lo's co-authors include GM Leung, Thomas Tsang, LM Ho, Steven Riley, Benjamin J. Cowling, TH Lam, Pui Hing Chau, Anthony J. Hedley, Azra C. Ghani and Christl A. Donnelly and has published in prestigious journals such as Science, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Su‐Vui Lo i

Fields of papers citing papers by Su‐Vui Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Vui Lo. 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 Su‐Vui Lo. The network helps show where Su‐Vui Lo may publish in the future.

Countries citing papers authored by Su‐Vui Lo

Since Specialization
Citations

This map shows the geographic impact of Su‐Vui Lo'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 Su‐Vui Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Vui Lo more than expected).

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.

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