Saou‐Hsing Liou
- Health, Toxicology and Mutagenesis top 2%
- Pollution top 5%
- Cancer Research
- Pulmonary and Respiratory Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- Tung‐Sheng ShihChing‐Huang LaiPerng‐Jy TsaiWen-Jhy LeeChing‐Hui LohHui‐Ling LeeYa‐Hui YangChun‐Yuh Yang
- Topics
- Air Quality and Health Impacts (13 papers)Carcinogens and Genotoxicity Assessment (10 papers)Heavy Metal Exposure and Toxicity (8 papers)
In The Last Decade
Saou‐Hsing Liou
44 papers receiving 823 citations
Peers
Comparison fields: 5 of 134
- Health, Toxicology and Mutagenesis 507
- Pollution 157
- Cancer Research 127
- Pulmonary and Respiratory Medicine 88
- Public Health, Environmental and Occupational Health 85
Countries citing papers authored by Saou‐Hsing Liou
This map shows the geographic impact of Saou‐Hsing Liou'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 Saou‐Hsing Liou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saou‐Hsing Liou more than expected).
Fields of papers citing papers by Saou‐Hsing Liou
This network shows the impact of papers produced by Saou‐Hsing Liou. 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 Saou‐Hsing Liou. The network helps show where Saou‐Hsing Liou may publish in the future.
Co-authorship network of co-authors of Saou‐Hsing Liou
This figure shows the co-authorship network connecting the top 25 collaborators of Saou‐Hsing Liou. A scholar is included among the top collaborators of Saou‐Hsing Liou 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 Saou‐Hsing Liou. Saou‐Hsing Liou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 21 | |
| 3 | 9 | |
| 4 | 34 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 15 | |
| 15 | 30 | |
| 16 | 16 | |
| 17 | 26 | |
| 18 | Establishment of an Occupational Cohort Exposed to Chlorinated Organic Solvents for Epidemiological Study of Cancer Risk of Taiwanese Workers | 2 |
| 19 | 25 | |
| 20 | 4 |
About Saou‐Hsing Liou
Saou‐Hsing Liou is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Radiological and Ultrasound Technology, having authored 44 papers that have together received 870 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (13 papers), Carcinogens and Genotoxicity Assessment (10 papers) and Heavy Metal Exposure and Toxicity (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (507 citations), Chemical Health and Safety (15 citations) and Pollution (157 citations). Saou‐Hsing Liou has collaborated with scholars based in Taiwan, Slovenia and Japan. Frequent co-authors include Tung‐Sheng Shih, Ching‐Huang Lai, Perng‐Jy Tsai, Wen-Jhy Lee, Ching‐Hui Loh, Hui‐Ling Lee, Ya‐Hui Yang, Chun‐Yuh Yang, Trong-Neng Wu and Chien‐Jen Wang. Their work appears in journals such as Atmospheric Environment, Vaccine and Toxicology and Applied Pharmacology.
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.