Bosco Lam

555 citations
6 papers · 298 indexed · 1 hit paper · h-index 4

Impact in

Papers in

Bosco Lam

6 papers receiving 294 citations

Hit Papers

Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant by Sera From BNT162b2 or CoronaVac Vaccine Recipients 2021 · 234 citations
234202120262022202450100150200

Peers

Bosco Lam
Comparison fields: 5 of 54
  • Infectious Diseases 262
  • Modeling and Simulation 29
  • Health 38
  • Animal Science and Zoology 21
  • Obstetrics and Gynecology 11
Replace Ivan Fan Ngai Hung with:
Ivan Fan Ngai Hung China
Ital Nemet Israel
Limor Kliker Israel
Kwok Yung Yuen Hong Kong
Ikbel Hadj Hassine Tunisia
David Hillus Germany
Ziteng Liang China
Kenneth Adea Switzerland
David X. Lee United States
Cas LeMaster United States
Bosco Lam relative to Ivan Fan Ngai Hung China Ivan Fan Ngai Hung's profile →
Citations per field
00.5×1.5×
Ivan Fan Ngai Hung · 1×
Citations per year

Countries citing papers authored by Bosco Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Bosco Lam Line = papers co-authored together Bosco Lam links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20223
2 202251
3
Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant by Sera From BNT162b2 or CoronaVac Vaccine Recipients
Hit paper breakdown →
2021234
4 20213
5 20163
6
Use of interferon gamma release assay to assess latent tuberculosis infection among healthcare workers in Hong Kong.
20154

About Bosco Lam

Bosco Lam is a scholar working on Health, Modeling and Simulation, Infectious Diseases, Biotechnology and Animal Science and Zoology, 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), Vaccine Coverage and Hesitancy (2 papers), SARS-CoV-2 detection and testing (2 papers), Influenza Virus Research Studies (1 paper), Travel-related health issues (1 paper), Essential Oils and Antimicrobial Activity (1 paper), Microbial Inactivation Methods (1 paper) and Tuberculosis Research and Epidemiology (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 China, Hong Kong and Canada. Frequent co-authors include Ivan Fan Ngai Hung, Kwok Yung Yuen, Jonathan Daniel Ip, Vincent Chi‐Chung Cheng, Jacky Man Chun Chan, Bobo Wing-Yee Mok, Honglin Chen, Kwok Hung Chan, Dong‐Yan Jin and O. T. Y. Tsang. 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.

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