S. V. Lo
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Viral gastroenteritis research and epidemiology
Papers in
-
- Obesity, Physical Activity, Diet 1
- Injury Epidemiology and Prevention 1
-
- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Ronan A Lyons (3 shared papers)B N Littlepage (2 shared papers)Martin Heaven (1 shared paper)GM Leung (1 shared paper)A. J. Hedley (1 shared paper)PC Lai (1 shared paper)James H.B. Kong (1 shared paper)Peter Thomas (1 shared paper)
- Journals
- Injury Prevention (1 paper)Epidemiology and Infection (1 paper)International Journal of Public Health (1 paper)Tobacco Control (1 paper)Journal of Epidemiology & Community Health (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
S. V. Lo
7 papers receiving 376 citations
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 32
- Infectious Diseases 52
- Health 21
- Public Health, Environmental and Occupational Health 59
- Pharmacology 28
Countries citing papers authored by S. V. Lo
This map shows the geographic impact of S. V. 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 S. V. Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. V. Lo more than expected).
Fields of papers citing papers by S. V. Lo
This network shows the impact of papers produced by S. V. 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 S. V. Lo. The network helps show where S. V. Lo may publish in the future.
Co-authors
The 16 scholars most cited alongside S. V. Lo, 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 | 1994 | 117 | |
| 2 | 2004 | 79 | |
| 3 | 1995 | 55 | |
| 4 | 1994 | 53 | |
| 5 | 1994 | 49 | |
| 6 | Association between HLA-B*15:02 allele and antiepileptic drug-induced severe cutaneous reactions in Hong Kong Chinese: a population-based study. | 2014 | 20 |
| 7 | 2012 | 14 |
About S. V. Lo
S. V. Lo is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Pharmacology, Pathology and Forensic Medicine and Epidemiology, having authored 7 papers that have together received 387 indexed citations. Recurring topics across this work include Obesity and Health Practices (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Obesity, Physical Activity, Diet (1 paper), Injury Epidemiology and Prevention (1 paper), Data-Driven Disease Surveillance (1 paper), COVID-19 epidemiological studies (1 paper), Smoking Behavior and Cessation (1 paper) and Drug-Induced Adverse Reactions (1 paper). The work is most often cited by research in Modeling and Simulation (32 citations), Infectious Diseases (52 citations), Health (21 citations), Public Health, Environmental and Occupational Health (59 citations) and Pharmacology (28 citations). S. V. Lo has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Ronan A Lyons, B N Littlepage, Martin Heaven, GM Leung, A. J. Hedley, PC Lai, James H.B. Kong, Peter Thomas, David M. Wright and S R Palmer. Their work appears in journals such as Injury Prevention, Epidemiology and Infection, International Journal of Public Health, Tobacco Control and Journal of Epidemiology & Community Health.
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.