Po-Po Lam
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 10
- Respiratory viral infections research 1
- Sepsis Diagnosis and Treatment 1
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Stefan P. Kuster (5 shared papers)Dominik Mertz (4 shared papers)Dat Tran (3 shared papers)Jennie Johnstone (4 shared papers)Shaza A. Fadel (4 shared papers)Michelle Science (4 shared papers)Tae Hyong Kim (2 shared papers)E. Fernández (2 shared papers)
- Journals
- PLoS ONE (3 papers)Open Forum Infectious Diseases (1 paper)Eurosurveillance (1 paper)BMJ (1 paper)Canadian Medical Association Journal (1 paper)
- Partner nations
- CanadaSwitzerlandUnited States
In The Last Decade
Po-Po Lam
11 papers receiving 869 citations
Po-Po Lam's Hit Papers
Peers
Comparison fields: 5 of 77
- Health 174
- Epidemiology 575
- Modeling and Simulation 53
- Infectious Diseases 169
- Obstetrics and Gynecology 12
Countries citing papers authored by Po-Po Lam
This map shows the geographic impact of Po-Po Lam'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 Po-Po Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po-Po Lam more than expected).
Fields of papers citing papers by Po-Po Lam
This network shows the impact of papers produced by Po-Po Lam. 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 Po-Po Lam. The network helps show where Po-Po Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Po-Po Lam, 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 | Populations at risk for severe or complicated influenza illness: systematic review and meta-analysis Hit paper breakdown → | 2013 | 459 |
| 2 | 2011 | 202 | |
| 3 | 2010 | 116 | |
| 4 | 2016 | 38 | |
| 5 | 2012 | 21 | |
| 6 | 2014 | 20 | |
| 7 | 2016 | 16 | |
| 8 | 2012 | 12 | |
| 9 | 2015 | 10 | |
| 10 | Helping healthcare workers decide: evaluation of an influenza immunization decision tool. | 2010 | 6 |
| 11 | 2015 | 1 |
About Po-Po Lam
Po-Po Lam is a scholar working on Epidemiology, Health, Infectious Diseases, Public Health, Environmental and Occupational Health and Organic Chemistry, having authored 11 papers that have together received 901 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (3 papers), Neonatal and Maternal Infections (1 paper), Streptococcal Infections and Treatments (1 paper), Viral Infections and Outbreaks Research (1 paper), Respiratory viral infections research (1 paper) and Sepsis Diagnosis and Treatment (1 paper). The work is most often cited by research in Health (174 citations), Epidemiology (575 citations), Modeling and Simulation (53 citations), Infectious Diseases (169 citations) and Obstetrics and Gynecology (12 citations). Po-Po Lam has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Stefan P. Kuster, Dominik Mertz, Dat Tran, Jennie Johnstone, Shaza A. Fadel, Michelle Science, Tae Hyong Kim, E. Fernández, Neera Bhatnagar and Mark Loeb. Their work appears in journals such as PLoS ONE, Open Forum Infectious Diseases, Eurosurveillance, BMJ and Canadian Medical Association Journal.
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.