Eugene Lam
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
- Health 13
- Vaccine Coverage and Hesitancy 13
-
- COVID-19 epidemiological studies 6
- Co-authors
- Muireann Brennan (4 shared papers)Jane R. Zucker (1 shared paper)Jennifer Block Rosen (1 shared paper)James L. Goodson (5 shared papers)Balcha Masresha (3 shared papers)Kashmira Date (1 shared paper)Curtis Blanton (1 shared paper)W. William Schluter (2 shared papers)
- Journals
- Risk Analysis (4 papers)Emerging infectious diseases (3 papers)MMWR Morbidity and Mortality Weekly Report (2 papers)Conflict and Health (2 papers)BMJ Global Health (2 papers)
- Partner nations
- United StatesUgandaRepublic of the Congo
In The Last Decade
Eugene Lam
22 papers receiving 623 citations
Peers
Comparison fields: 5 of 89
- Health 134
- Endocrinology 55
- Modeling and Simulation 40
- Epidemiology 235
- Infectious Diseases 111
Countries citing papers authored by Eugene Lam
This map shows the geographic impact of Eugene 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 Eugene Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Lam more than expected).
Fields of papers citing papers by Eugene Lam
This network shows the impact of papers produced by Eugene 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 Eugene Lam. The network helps show where Eugene Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 139 | |
| 2 | 2015 | 115 | |
| 3 | 2012 | 72 | |
| 4 | 2014 | 53 | |
| 5 | 2015 | 52 | |
| 6 | 2020 | 49 | |
| 7 | 2016 | 38 | |
| 8 | 2015 | 32 | |
| 9 | 2016 | 23 | |
| 10 | 2016 | 17 | |
| 11 | 2015 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2019 | 10 | |
| 14 | 2022 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2024 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2024 | 1 |
About Eugene Lam
Eugene Lam is a scholar working on Health, Modeling and Simulation, Infectious Diseases, Epidemiology and Endocrinology, having authored 24 papers that have together received 653 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (13 papers), Viral Infections and Outbreaks Research (7 papers), Virology and Viral Diseases (7 papers), COVID-19 epidemiological studies (6 papers), Respiratory viral infections research (2 papers), Data-Driven Disease Surveillance (2 papers), Hepatitis B Virus Studies (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Health (134 citations), Endocrinology (55 citations), Modeling and Simulation (40 citations), Epidemiology (235 citations) and Infectious Diseases (111 citations). Eugene Lam has collaborated with scholars based in United States, Uganda and Republic of the Congo. Frequent co-authors include Muireann Brennan, Jane R. Zucker, Jennifer Block Rosen, James L. Goodson, Balcha Masresha, Kashmira Date, Curtis Blanton, W. William Schluter, Wondimagegnehu Alemu and Robert E Quick. Their work appears in journals such as Risk Analysis, Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report, Conflict and Health and BMJ Global 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.