TQ Thach
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Health, Toxicology and Mutagenesis top 0.5%
- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
-
- Air Quality and Health Impacts 38
- Climate Change and Health Impacts 34
-
- COVID-19 epidemiological studies 5
- Co-authors
- TH LamAnthony J. HedleyChit-Ming WongGM LeungLM HoChristl A. DonnellySteven RileyAzra C. Ghani
- Journals
- Environmental Research (4 papers)Epidemiology (4 papers)Environmental Health Perspectives (3 papers)Building and Environment (3 papers)Environment International (3 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
TQ Thach
76 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Modeling and Simulation 1.0k
- Health, Toxicology and Mutagenesis 1.9k
- Infectious Diseases 956
- Environmental Engineering 565
- Speech and Hearing 266
Countries citing papers authored by TQ Thach
This map shows the geographic impact of TQ Thach'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 TQ Thach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TQ Thach more than expected).
Fields of papers citing papers by TQ Thach
This network shows the impact of papers produced by TQ Thach. 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 TQ Thach. The network helps show where TQ Thach may publish in the future.
Co-authorship network
The 25 scholars most cited alongside TQ Thach, 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 | 2024 | 1 | |
| 2 | 2021 | 81 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 18 | |
| 10 | 2017 | 139 | |
| 11 | 2016 | 160 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 21 | |
| 14 | 2015 | 48 | |
| 15 | 2015 | 164 | |
| 16 | 2014 | 36 | |
| 17 | 2013 | 8 | |
| 18 | 2008 | 62 | |
| 19 | 2006 | 9 | |
| 20 | 2002 | 93 |
About TQ Thach
TQ Thach is a scholar working on Health, Toxicology and Mutagenesis, Modeling and Simulation, Speech and Hearing, Applied Psychology and General Health Professions, having authored 79 papers that have together received 4.6k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (38 papers), Climate Change and Health Impacts (34 papers), Global Health Care Issues (15 papers), Energy and Environment Impacts (8 papers), Influenza Virus Research Studies (7 papers), Noise Effects and Management (7 papers), COVID-19 epidemiological studies (5 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Health, Toxicology and Mutagenesis (1.9k citations), Infectious Diseases (956 citations), Environmental Engineering (565 citations) and Speech and Hearing (266 citations). TQ Thach has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include TH Lam, Anthony J. Hedley, Chit-Ming Wong, GM Leung, LM Ho, Christl A. Donnelly, Steven Riley, Azra C. Ghani, Roy M. Anderson and Neil M. Ferguson. Their work appears in journals such as Environmental Research, Epidemiology, Environmental Health Perspectives, Building and Environment and Environment International.
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.