Yuan‐Hung Wang
Impact in
- Environmental Chemistry top 2%
- Arsenic contamination and mitigation
-
- Heavy Metal Exposure and Toxicity
- Air Quality and Health Impacts
Papers in
-
- Air Quality and Health Impacts 7
- Climate Change and Health Impacts 7
- Heavy Metal Exposure and Toxicity 6
- Co-authors
- Hung‐Yi ChiouMeei‐Maan WuLing-I HsuChien‐Jen ChenYu‐Mei HsuehChi‐Ling ChenCheng-Huang ShenYu‐Ting Chou
- Journals
- Toxicology and Applied Pharmacology (5 papers)PLoS ONE (4 papers)Cancer Research (4 papers)Cancers (3 papers)Annals of Otology Rhinology & Laryngology (3 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yuan‐Hung Wang
111 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Environmental Chemistry 424
- Health, Toxicology and Mutagenesis 449
- Cancer Research 442
- Molecular Biology 905
- Ophthalmology 106
Countries citing papers authored by Yuan‐Hung Wang
This map shows the geographic impact of Yuan‐Hung Wang'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 Yuan‐Hung Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan‐Hung Wang more than expected).
Fields of papers citing papers by Yuan‐Hung Wang
This network shows the impact of papers produced by Yuan‐Hung Wang. 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 Yuan‐Hung Wang. The network helps show where Yuan‐Hung Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan‐Hung Wang, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 13 | |
| 13 | Association between IRF6 rs642961 polymorphism and non-syndromic cleft lip with or without a cleft palate: a systematic review and meta-analysis | 2018 | 4 |
| 14 | 2017 | 8 | |
| 15 | 2016 | 29 | |
| 16 | 2016 | 31 | |
| 17 | 2015 | 26 | |
| 18 | 2014 | 21 | |
| 19 | 2013 | 14 | |
| 20 | 2010 | 232 |
About Yuan‐Hung Wang
Yuan‐Hung Wang is a scholar working on Health, Toxicology and Mutagenesis, Nephrology, Environmental Chemistry, Cancer Research and Pulmonary and Respiratory Medicine, having authored 113 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (12 papers), Bladder and Urothelial Cancer Treatments (11 papers), Arsenic contamination and mitigation (9 papers), Air Quality and Health Impacts (7 papers), Climate Change and Health Impacts (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Heavy Metal Exposure and Toxicity (6 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Environmental Chemistry (424 citations), Health, Toxicology and Mutagenesis (449 citations), Cancer Research (442 citations), Molecular Biology (905 citations) and Ophthalmology (106 citations). Yuan‐Hung Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hung‐Yi Chiou, Meei‐Maan Wu, Ling-I Hsu, Chien‐Jen Chen, Yu‐Mei Hsueh, Chi‐Ling Chen, Cheng-Huang Shen, Yu‐Ting Chou, Sheng-Chieh Lin and Shauh-Der Yeh. Their work appears in journals such as Toxicology and Applied Pharmacology, PLoS ONE, Cancer Research, Cancers and Annals of Otology Rhinology & Laryngology.
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.