TL Que
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Infective Endocarditis Diagnosis and Management 2
- Mycobacterium research and diagnosis 1
- Pneumonia and Respiratory Infections 1
-
- Antimicrobial Resistance in Staphylococcus 1
- Co-authors
- Kwok‐Yung Yuen (2 shared papers)Dnc Tsang (3 shared papers)Malik Peiris (1 shared paper)Rita Yn Tz Sung (1 shared paper)River Chun‐Wai Wong (1 shared paper)TK Ng (2 shared papers)Pak‐Leung Ho (4 shared papers)WC Yam (1 shared paper)
- Journals
- The Lancet (1 paper)Hong Kong Journal of Emergency Medicine (1 paper)Laboratory Medicine (1 paper)The HKU Scholars Hub (University of Hong Kong) (1 paper)PubMed (1 paper)
In The Last Decade
TL Que
5 papers receiving 812 citations
TL Que's Hit Papers
Peers
Comparison fields: 5 of 67
- Agronomy and Crop Science 257
- Epidemiology 711
- Infectious Diseases 392
- Modeling and Simulation 41
- Immunology 141
Countries citing papers authored by TL Que
This map shows the geographic impact of TL Que'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 TL Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TL Que more than expected).
Fields of papers citing papers by TL Que
This network shows the impact of papers produced by TL Que. 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 TL Que. The network helps show where TL Que may publish in the future.
Co-authors
The 12 scholars most cited alongside TL Que, 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 | Clinical features and rapid viral diagnosis of human disease associated with avian influenza A H5N1 virus Hit paper breakdown → | 1998 | 857 |
| 2 | 2011 | 3 | |
| 3 | Characterization of Streptococcus pyogenes in Hong Kong | 1999 | 3 |
| 4 | 2010 | 1 | |
| 5 | Rapid rise of fluoroquinolone resistance among Streptococcus pneumoniae in Hong Kong linked to acquisition of fluoroquinolone resistance by the locally dominant Spanish 23F clone | 2001 | 1 |
| 6 | Molecular epidemiology of community-associated methicillin-resistant Staphylococcus aureus. | 2009 | 1 |
About TL Que
TL Que is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Pharmacology and Clinical Biochemistry, having authored 6 papers that have together received 866 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (2 papers), Streptococcal Infections and Treatments (1 paper), Mycobacterium research and diagnosis (1 paper), Vibrio bacteria research studies (1 paper), Pneumonia and Respiratory Infections (1 paper), Neonatal and Maternal Infections (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Agronomy and Crop Science (257 citations), Epidemiology (711 citations), Infectious Diseases (392 citations), Modeling and Simulation (41 citations) and Immunology (141 citations). TL Que has collaborated with scholars based in Hong Kong and China. Frequent co-authors include Kwok‐Yung Yuen, Dnc Tsang, Malik Peiris, Rita Yn Tz Sung, River Chun‐Wai Wong, TK Ng, Pak‐Leung Ho, WC Yam, Kaplan El and Eugene Lai. Their work appears in journals such as The Lancet, Hong Kong Journal of Emergency Medicine, Laboratory Medicine, The HKU Scholars Hub (University of Hong Kong) 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.