Chon-Fu Lio
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 detection and testing 1
-
- Fibromyalgia and Chronic Fatigue Syndrome Research 3
- Neurological Complications and Syndromes 1
- Co-authors
- Hou Hon Cheong (5 shared papers)Chin Ion Lei (4 shared papers)Iek Long Lo (4 shared papers)Yakun Tian (1 shared paper)Shin‐Yi Tsai (11 shared papers)Chien-Feng Kuo (10 shared papers)Tse-Yen Yang (4 shared papers)Lan Yao (2 shared papers)
- Journals
- PeerJ (4 papers)Journal of Translational Medicine (4 papers)International Journal of Biological Sciences (1 paper)Medicine (1 paper)BMC Public Health (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chon-Fu Lio
18 papers receiving 468 citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 213
- Modeling and Simulation 26
- General Dentistry 8
- Psychiatry and Mental health 56
- Neurology 48
Countries citing papers authored by Chon-Fu Lio
This map shows the geographic impact of Chon-Fu Lio'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 Chon-Fu Lio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chon-Fu Lio more than expected).
Fields of papers citing papers by Chon-Fu Lio
This network shows the impact of papers produced by Chon-Fu Lio. 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 Chon-Fu Lio. The network helps show where Chon-Fu Lio may publish in the future.
Co-authors
The 25 scholars most cited alongside Chon-Fu Lio, 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 | 2020 | 254 | |
| 2 | 2021 | 44 | |
| 3 | 2019 | 34 | |
| 4 | 2017 | 31 | |
| 5 | 2019 | 20 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2016 | 1 | |
| 18 | [Permanent environmental disinfection techniques in hospital settings with infectious risk]. | 2022 | 1 |
About Chon-Fu Lio
Chon-Fu Lio is a scholar working on Infectious Diseases, Psychiatry and Mental health, Epidemiology, Modeling and Simulation and Surgery, having authored 18 papers that have together received 475 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), COVID-19 epidemiological studies (2 papers), Burn Injury Management and Outcomes (2 papers), COVID-19 Clinical Research Studies (2 papers), Pneumothorax, Barotrauma, Emphysema (1 paper), Neurological Complications and Syndromes (1 paper), Streptococcal Infections and Treatments (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Infectious Diseases (213 citations), Modeling and Simulation (26 citations), General Dentistry (8 citations), Psychiatry and Mental health (56 citations) and Neurology (48 citations). Chon-Fu Lio has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hou Hon Cheong, Chin Ion Lei, Iek Long Lo, Yakun Tian, Shin‐Yi Tsai, Chien-Feng Kuo, Tse-Yen Yang, Lan Yao, Chi Chen and Weicheng Yao. Their work appears in journals such as PeerJ, Journal of Translational Medicine, International Journal of Biological Sciences, Medicine and BMC Public Health.
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.