Lung Chang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Otolaryngology and Infectious Diseases
Papers in
- Epidemiology 13
- Pneumonia and Respiratory Infections 6
- Influenza Virus Research Studies 4
- Respiratory viral infections research 3
-
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Hsin Chi (27 shared papers)Nan‐Chang Chiu (22 shared papers)Chih‐Ching Huang (10 shared papers)Daniel Tsung‐Ning Huang (17 shared papers)H.‐J. Lin (6 shared papers)Chin‐Jung Lin (5 shared papers)Ju‐Yi Mao (4 shared papers)Han‐Wei Chu (3 shared papers)
- Journals
- Journal of Microbiology Immunology and Infection (15 papers)Frontiers in Pediatrics (4 papers)Small (3 papers)Journal of Virology (2 papers)Medicine (2 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Lung Chang
45 papers receiving 814 citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 248
- Molecular Medicine 28
- Rehabilitation 34
- Epidemiology 131
- Microbiology 25
Countries citing papers authored by Lung Chang
This map shows the geographic impact of Lung Chang'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 Lung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lung Chang more than expected).
Fields of papers citing papers by Lung Chang
This network shows the impact of papers produced by Lung Chang. 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 Lung Chang. The network helps show where Lung Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lung Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 158 | |
| 2 | 2021 | 93 | |
| 3 | 2010 | 62 | |
| 4 | 2019 | 44 | |
| 5 | 2018 | 37 | |
| 6 | 2015 | 36 | |
| 7 | 2021 | 34 | |
| 8 | 2022 | 33 | |
| 9 | 2015 | 29 | |
| 10 | 2013 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2022 | 20 | |
| 13 | 2019 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2017 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2021 | 14 | |
| 20 | 2022 | 12 |
About Lung Chang
Lung Chang is a scholar working on Epidemiology, Infectious Diseases, Immunology, Neurology and Materials Chemistry, having authored 48 papers that have together received 834 indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (6 papers), Pneumonia and Respiratory Infections (6 papers), Influenza Virus Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Advanced Nanomaterials in Catalysis (3 papers), Long-Term Effects of COVID-19 (3 papers), Kawasaki Disease and Coronary Complications (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Infectious Diseases (248 citations), Molecular Medicine (28 citations), Rehabilitation (34 citations), Epidemiology (131 citations) and Microbiology (25 citations). Lung Chang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Hsin Chi, Nan‐Chang Chiu, Chih‐Ching Huang, Daniel Tsung‐Ning Huang, H.‐J. Lin, Chin‐Jung Lin, Ju‐Yi Mao, Han‐Wei Chu, Pei‐Ching Chang and Binesh Unnikrishnan. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Frontiers in Pediatrics, Small, Journal of Virology and 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.