LM Ho
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
Papers in
-
- COVID-19 epidemiological studies 25
- Co-authors
- GM LeungTH LamThomas TsangSteven RileyAnthony J. HedleyBenjamin J. CowlingChristl A. DonnellyAzra C. Ghani
- Journals
- Epidemiology (6 papers)International Journal of Medical Informatics (5 papers)Tobacco Control (3 papers)Journal of the American Heart Association (3 papers)Epidemiology and Infection (3 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
LM Ho
135 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Modeling and Simulation 2.1k
- Infectious Diseases 1.8k
- Clinical Psychology 1.1k
- Epidemiology 1.7k
- Health 337
Countries citing papers authored by LM Ho
This map shows the geographic impact of LM Ho'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 LM Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LM Ho more than expected).
Fields of papers citing papers by LM Ho
This network shows the impact of papers produced by LM Ho. 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 LM Ho. The network helps show where LM Ho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside LM Ho, 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 | 2024 | 12 | |
| 2 | 2020 | 28 | |
| 3 | Cross-sectional Study of Hypertension in a Neighborhood in Singapore | 2015 | 1 |
| 4 | 2015 | 39 | |
| 5 | Impact of breastfeeding on infectious disease hospitalisation: the children of 1997 cohort. | 2014 | 2 |
| 6 | 2014 | 23 | |
| 7 | Prospective estimation of the effective reproduction number of pandemic influenza in Hong Kong | 2011 | 0 |
| 8 | 2011 | 50 | |
| 9 | 2010 | 80 | |
| 10 | 2010 | 182 | |
| 11 | 2009 | 27 | |
| 12 | 2008 | 3 | |
| 13 | 2007 | 11 | |
| 14 | 2005 | 64 | |
| 15 | 2004 | 0 | |
| 16 | 2004 | 32 | |
| 17 | 2004 | 41 | |
| 18 | 2002 | 49 | |
| 19 | 2001 | 60 | |
| 20 | 1999 | 55 |
About LM Ho
LM Ho is a scholar working on Modeling and Simulation, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Epidemiology and Health, having authored 140 papers that have together received 7.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (25 papers), Influenza Virus Research Studies (23 papers), Smoking Behavior and Cessation (17 papers), Sleep and related disorders (13 papers), Sleep and Wakefulness Research (12 papers), Respiratory viral infections research (9 papers), Birth, Development, and Health (8 papers) and Air Quality and Health Impacts (8 papers). The work is most often cited by research in Modeling and Simulation (2.1k citations), Infectious Diseases (1.8k citations), Clinical Psychology (1.1k citations), Epidemiology (1.7k citations) and Health (337 citations). LM Ho has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include GM Leung, TH Lam, Thomas Tsang, Steven Riley, Anthony J. Hedley, Benjamin J. Cowling, Christl A. Donnelly, Azra C. Ghani, TQ Thach and Malik Peiris. Their work appears in journals such as Epidemiology, International Journal of Medical Informatics, Tobacco Control, Journal of the American Heart Association and Epidemiology and Infection.
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.