Lung-Chang Chien
- Health, Toxicology and Mutagenesis top 1%
- Public Health, Environmental and Occupational Health top 5%
- Complementary and alternative medicine top 1%
- Pulmonary and Respiratory Medicine top 10%
- Global and Planetary Change top 10%
- Co-authors
- Hwa‐Lung YuRo‐Ting LinL.‐W. Antony ChenChao Hsing YehChang‐Chuan ChanYi‐Chien ChiangGe LinYi Li
- Topics
- Air Quality and Health Impacts (16 papers)Climate Change and Health Impacts (14 papers)COVID-19 epidemiological studies (9 papers)
- Cited by
- Health, Toxicology and MutagenesisComplementary and alternative medicineModeling and Simulation
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Lung-Chang Chien
93 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 170
- Health, Toxicology and Mutagenesis 621
- Public Health, Environmental and Occupational Health 295
- Complementary and alternative medicine 291
- Pulmonary and Respiratory Medicine 259
- Global and Planetary Change 224
Countries citing papers authored by Lung-Chang Chien
This map shows the geographic impact of Lung-Chang Chien'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 Chien 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 Chien more than expected).
Fields of papers citing papers by Lung-Chang Chien
This network shows the impact of papers produced by Lung-Chang Chien. 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 Chien. The network helps show where Lung-Chang Chien may publish in the future.
Co-authorship network of co-authors of Lung-Chang Chien
This figure shows the co-authorship network connecting the top 25 collaborators of Lung-Chang Chien. A scholar is included among the top collaborators of Lung-Chang Chien 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 Lung-Chang Chien. Lung-Chang Chien 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 23 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 18 | |
| 12 | 16 | |
| 13 | 17 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 6 | |
| 17 | Health impact from climatic extremes: a case study of Asian dust storms in Taiwan | 3 |
| 18 | 33 | |
| 19 | 65 | |
| 20 | 78 |
About Lung-Chang Chien
Lung-Chang Chien is a scholar working on Modeling and Simulation, Health, Toxicology and Mutagenesis and Health, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (16 papers), Climate Change and Health Impacts (14 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (621 citations), Complementary and alternative medicine (291 citations) and Modeling and Simulation (156 citations). Lung-Chang Chien has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hwa‐Lung Yu, Ro‐Ting Lin, L.‐W. Antony Chen, Chao Hsing Yeh, Chang‐Chuan Chan, Yi‐Chien Chiang, Ge Lin, Yi Li, Lorna Kwai Ping Suen and Ya‐Mei Chen. Their work appears in journals such as The Lancet, PLoS ONE and The Science of The Total Environment.
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.