Hoe Nam Leong
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 8
- Viral gastroenteritis research and epidemiology 3
- COVID-19 Clinical Research Studies 3
- Parvovirus B19 Infection Studies 3
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research 7
- Herpesvirus Infections and Treatments 3
- Oncology top 10%
- Viral-associated cancers and disorders 6
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 2
- Animal Science and Zoology top 5%
- Co-authors
- Duncan A. ClarkKatherine N. WardClaire AtkinsonYee‐Joo TanAdeline ChiaAntonio BertolettiAnthony T. TanRamesh Jadi
- Journals
- Journal of Virology (1 paper)Journal of Clinical Microbiology (3 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- SingaporeUnited KingdomMalaysia
In The Last Decade
Hoe Nam Leong
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Infectious Diseases 839
- Epidemiology 660
- Oncology 396
- Modeling and Simulation 66
- Animal Science and Zoology 87
Countries citing papers authored by Hoe Nam Leong
This map shows the geographic impact of Hoe Nam Leong'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 Hoe Nam Leong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoe Nam Leong more than expected).
Fields of papers citing papers by Hoe Nam Leong
This network shows the impact of papers produced by Hoe Nam Leong. 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 Hoe Nam Leong. The network helps show where Hoe Nam Leong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hoe Nam Leong, 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 | 2025 | 1 | |
| 2 | 2018 | 82 | |
| 3 | 2018 | 5 | |
| 4 | 2017 | 69 | |
| 5 | Memory T cell responses targeting the SARS coronavirus persist up to 11 years post-infectionbreakdown → | 2016 | 313 |
| 6 | 2015 | 35 | |
| 7 | 2014 | 14 | |
| 8 | 2012 | 39 | |
| 9 | 2012 | 70 | |
| 10 | 2008 | 64 | |
| 11 | 2007 | 111 | |
| 12 | 2006 | 5 | |
| 13 | 2006 | 6 | |
| 14 | 2006 | 28 | |
| 15 | 2006 | 140 | |
| 16 | 2006 | 106 | |
| 17 | 2006 | 142 | |
| 18 | 2004 | 132 | |
| 19 | 2004 | 16 | |
| 20 | 2004 | 69 |
About Hoe Nam Leong
Hoe Nam Leong is a scholar working on Infectious Diseases, Modeling and Simulation and Clinical Biochemistry, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Viral-associated cancers and disorders (6 papers), Viral gastroenteritis research and epidemiology (3 papers), COVID-19 Clinical Research Studies (3 papers), Parvovirus B19 Infection Studies (3 papers), Herpesvirus Infections and Treatments (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (839 citations), Epidemiology (660 citations) and Oncology (396 citations). Hoe Nam Leong has collaborated with scholars based in Singapore, United Kingdom and Malaysia. Frequent co-authors include Duncan A. Clark, Katherine N. Ward, Claire Atkinson, Yee‐Joo Tan, Adeline Chia, Antonio Bertoletti, Anthony T. Tan, Ramesh Jadi, Paul Griffiths and Elisabeth P. Nacheva. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.
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.