Chao-Chih Lai

441 citations
26 papers · 295 · h-index 11

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 3
    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 3
    • Tuberculosis Research and Epidemiology 2
    • COVID-19 epidemiological studies 8

Chao-Chih Lai

24 papers receiving 292 citations

Peers

Chao-Chih Lai
Comparison fields: 5 of 62
  • Modeling and Simulation 59
  • Infectious Diseases 149
  • Virology 9
  • Cardiology and Cardiovascular Medicine 30
  • Epidemiology 42
Replace Hilde De Clerck with:
Hilde De Clerck Belgium
Elie Chalhoub Lebanon
Sarah Shalhoub Canada
Yu Mao China
Meital Elbaz Israel
Sami Sheikh Ali Jordan
Sathyavani Subbarao United Kingdom
Wei Yee Leong Singapore
Marie Luisa Schmidt Germany
Efrat Orenbuch‐Harroch Israel
Chao-Chih Lai relative to Hilde De Clerck Belgium Hilde De Clerck's profile →
Citations per field
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Hilde De Clerck · 1×
Citations per year

Countries citing papers authored by Chao-Chih Lai

Since Specialization
Citations

This map shows the geographic impact of Chao-Chih Lai'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 Chao-Chih Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Chih Lai more than expected).

Fields of papers citing papers by Chao-Chih Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Chih Lai. 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 Chao-Chih Lai. The network helps show where Chao-Chih Lai may publish in the future.

Co-authors

The 25 scholars most cited alongside Chao-Chih Lai, 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 Chao-Chih Lai Line = papers co-authored together Chao-Chih Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201757
2 201250
3 201525
4 202117
5 202117
6 202117
7 200214
8 202013
9 201412
10 201112
11 201511
12 201010
13 20157
14 20207
15 20236
16 20215
17 20214
18 20203
19 20223
20 20241

About Chao-Chih Lai

Chao-Chih Lai is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Immunology and Surgery, having authored 26 papers that have together received 295 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (8 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Herpesvirus Infections and Treatments (2 papers), Tuberculosis Research and Epidemiology (2 papers), Respiratory Support and Mechanisms (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Modeling and Simulation (59 citations), Infectious Diseases (149 citations), Virology (9 citations), Cardiology and Cardiovascular Medicine (30 citations) and Epidemiology (42 citations). Chao-Chih Lai has collaborated with scholars based in Taiwan, South Korea and United Kingdom. Frequent co-authors include Chen-Yang Hsu, Chien‐Jen Chen, Fang‐Tzy Wu, Ming‐Fang Yen, Paul S. Wikramaratna, Ching‐Yi Wu, Amy Ming‐Fang Yen, Yen‐Po Yeh, Shao‐Yuan Chuang and Chang‐Chuan Chan. Their work appears in journals such as Epidemiology and Infection, Stochastic Environmental Research and Risk Assessment, Journal of Medical Internet Research, Transactions of the Royal Society of Tropical Medicine and Hygiene and Journal of Travel Medicine.

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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