Chih-Cheng Lai
- Infectious Diseases top 2%
- Epidemiology
- Neurology top 10%
- Modeling and Simulation top 2%
- Oncology
- Co-authors
- Po‐Ren HsuehCheng‐Yi WangWen‐Chien KoYahui WangChien‐Ming ChaoHung-Jen TangShyh-Ren ChiangYin-Ching Chuang
- Topics
- SARS-CoV-2 and COVID-19 Research (3 papers)COVID-19 Clinical Research Studies (3 papers)Antifungal resistance and susceptibility (2 papers)
- Journals
- Emerging infectious diseasesAmerican Journal of Tropical Medicine and HygieneInternational Journal of Infectious Diseases
- Partner nations
- TaiwanUnited KingdomChina
In The Last Decade
Chih-Cheng Lai
9 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Infectious Diseases 820
- Epidemiology 207
- Neurology 180
- Modeling and Simulation 153
- Oncology 132
Countries citing papers authored by Chih-Cheng Lai
This map shows the geographic impact of Chih-Cheng 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 Chih-Cheng Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Cheng Lai more than expected).
Fields of papers citing papers by Chih-Cheng Lai
This network shows the impact of papers produced by Chih-Cheng 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 Chih-Cheng Lai. The network helps show where Chih-Cheng Lai may publish in the future.
Co-authorship network of co-authors of Chih-Cheng Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Cheng Lai. A scholar is included among the top collaborators of Chih-Cheng Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chih-Cheng Lai. Chih-Cheng Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 343 | |
| 4 | 71 | |
| 5 | Asymptomatic carrier state, acute respiratory disease, and pneumonia due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): Facts and mythsbreakdown → | 624 |
| 6 | 119 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 8 |
About Chih-Cheng Lai
Chih-Cheng Lai is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Molecular Medicine, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (93 citations), Infectious Diseases (820 citations) and Modeling and Simulation (153 citations). Chih-Cheng Lai has collaborated with scholars based in Taiwan, United Kingdom and China. Frequent co-authors include Po‐Ren Hsueh, Cheng‐Yi Wang, Wen‐Chien Ko, Yahui Wang, Chien‐Ming Chao, Hung-Jen Tang, Shyh-Ren Chiang, Yin-Ching Chuang, Chi-Chung Chen and Han Siong Toh. Their work appears in journals such as Emerging infectious diseases, American Journal of Tropical Medicine and Hygiene and International 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.