Bosco Lam
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 2
- Health 2
- Vaccine Coverage and Hesitancy 2
- Co-authors
- Vincent Chi‐Chung Cheng (3 shared papers)Jonathan Daniel Ip (2 shared papers)Kwok Yung Yuen (3 shared papers)Jacky Man Chun Chan (3 shared papers)Ivan Fan Ngai Hung (3 shared papers)Ruiqi Zhang (1 shared paper)Lu Lu (1 shared paper)Kwok Hung Chan (1 shared paper)
- Journals
- Clinical Infectious Diseases (3 papers)Medicine (1 paper)Case Reports in Nephrology (1 paper)PubMed (1 paper)
In The Last Decade
Bosco Lam
6 papers receiving 294 citations
Bosco Lam's Hit Papers
Peers
Comparison fields: 5 of 54
- Infectious Diseases 262
- Modeling and Simulation 29
- Health 38
- Animal Science and Zoology 21
- Obstetrics and Gynecology 11
Countries citing papers authored by Bosco Lam
This map shows the geographic impact of Bosco 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 Bosco Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bosco Lam more than expected).
Fields of papers citing papers by Bosco Lam
This network shows the impact of papers produced by Bosco 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 Bosco Lam. The network helps show where Bosco Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Bosco 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 | Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant by Sera From BNT162b2 or CoronaVac Vaccine Recipients Hit paper breakdown → | 2021 | 234 |
| 2 | 2022 | 51 | |
| 3 | Use of interferon gamma release assay to assess latent tuberculosis infection among healthcare workers in Hong Kong. | 2015 | 4 |
| 4 | 2021 | 3 | |
| 5 | 2016 | 3 | |
| 6 | 2022 | 3 |
About Bosco Lam
Bosco Lam is a scholar working on Infectious Diseases, Health, Animal Science and Zoology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 298 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers), Vaccine Coverage and Hesitancy (2 papers), Influenza Virus Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Essential Oils and Antimicrobial Activity (1 paper), Biosensors and Analytical Detection (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (262 citations), Modeling and Simulation (29 citations), Health (38 citations), Animal Science and Zoology (21 citations) and Obstetrics and Gynecology (11 citations). Bosco Lam has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Vincent Chi‐Chung Cheng, Jonathan Daniel Ip, Kwok Yung Yuen, Jacky Man Chun Chan, Ivan Fan Ngai Hung, Ruiqi Zhang, Lu Lu, Kwok Hung Chan, Dong‐Yan Jin and Honglin Chen. Their work appears in journals such as Clinical Infectious Diseases, Medicine, Case Reports in Nephrology and PubMed.
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.