Tsung‐Li Kuo
- Environmental Chemistry top 0.5%
- Health, Toxicology and Mutagenesis top 1%
- Molecular Biology
- Nutrition and Dietetics top 5%
- Pollution top 5%
- Co-authors
- Chien‐Jen ChenMeei‐Maan WuYu‐Mei HsuehShu-Yuan ChenTong‐Yuan TaiChia‐Lun ChaoYuan‐Teh LeeDongliang Lin
- Topics
- Arsenic contamination and mitigation (5 papers)Paraquat toxicity studies and treatments (4 papers)Protein Interaction Studies and Fluorescence Analysis (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tsung‐Li Kuo
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Environmental Chemistry 872
- Health, Toxicology and Mutagenesis 724
- Molecular Biology 396
- Nutrition and Dietetics 189
- Pollution 183
Countries citing papers authored by Tsung‐Li Kuo
This map shows the geographic impact of Tsung‐Li Kuo'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 Tsung‐Li Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung‐Li Kuo more than expected).
Fields of papers citing papers by Tsung‐Li Kuo
This network shows the impact of papers produced by Tsung‐Li Kuo. 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 Tsung‐Li Kuo. The network helps show where Tsung‐Li Kuo may publish in the future.
Co-authorship network of co-authors of Tsung‐Li Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Tsung‐Li Kuo. A scholar is included among the top collaborators of Tsung‐Li Kuo 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 Tsung‐Li Kuo. Tsung‐Li Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Determination of gamma-hydroxybutyrate (GHB) in biological specimens by simultaneous extraction and chemical derivatization followed by GC-MS | 3 |
| 3 | 41 | |
| 4 | 41 | |
| 5 | 30 | |
| 6 | 126 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 95 | |
| 10 | 20 | |
| 11 | Investigation of the Arsenic Levels in Well Waters in the Blackfoot Disease Endemic Area | 1 |
| 12 | 366 | |
| 13 | 6 | |
| 14 | 279 | |
| 15 | 4 | |
| 16 | DOSE-RESPONSE RELATION BETWEEN ARSENIC CONCENTRATION IN WELL WATER AND MORTALITY FROM CANCERS AND VASCULAR DISEASESbreakdown → | 495 |
| 17 | 1 | |
| 18 | 17 | |
| 19 | 13 |
About Tsung‐Li Kuo
Tsung‐Li Kuo is a scholar working on Toxicology, Environmental Chemistry and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (5 papers), Paraquat toxicity studies and treatments (4 papers) and Protein Interaction Studies and Fluorescence Analysis (3 papers). The work is most often cited by research in Environmental Chemistry (872 citations), Health, Toxicology and Mutagenesis (724 citations) and Pollution (183 citations). Tsung‐Li Kuo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chien‐Jen Chen, Meei‐Maan Wu, Yu‐Mei Hsueh, Shu-Yuan Chen, Tong‐Yuan Tai, Chia‐Lun Chao, Yuan‐Teh Lee, Dongliang Lin, Ray H. Liu and Yao‐Chang Chen. Their work appears in journals such as Circulation, Analytical Chemistry and American Journal of Epidemiology.
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.