Shuangying Yu
- Health, Toxicology and Mutagenesis top 5%
- Pollution top 10%
- Global and Planetary Change
- Ecology
- Materials Chemistry
- Co-authors
- Jonathan D. MaulGeorge P. CobbGeoffrey S. WaldoJames E. Penner‐HahnMike WagesScott M. WeirRichard S. HalbrookDonald W. Sparling
- Topics
- Environmental Toxicology and Ecotoxicology (12 papers)Amphibian and Reptile Biology (7 papers)Pharmaceutical and Antibiotic Environmental Impacts (6 papers)
- Journals
- Journal of the American Chemical SocietyThe Science of The Total EnvironmentEnvironmental Pollution
- Partner nations
- United StatesChinaCanada
In The Last Decade
Shuangying Yu
24 papers receiving 499 citations
Peers
Comparison fields: 5 of 92
- Health, Toxicology and Mutagenesis 210
- Pollution 119
- Global and Planetary Change 84
- Ecology 75
- Materials Chemistry 72
Countries citing papers authored by Shuangying Yu
This map shows the geographic impact of Shuangying Yu'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 Shuangying Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuangying Yu more than expected).
Fields of papers citing papers by Shuangying Yu
This network shows the impact of papers produced by Shuangying Yu. 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 Shuangying Yu. The network helps show where Shuangying Yu may publish in the future.
Co-authorship network of co-authors of Shuangying Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuangying Yu. A scholar is included among the top collaborators of Shuangying Yu 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 Shuangying Yu. Shuangying Yu 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 | 4 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 48 | |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 36 | |
| 10 | 13 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | 32 | |
| 14 | 40 | |
| 15 | 12 | |
| 16 | 17 | |
| 17 | 40 | |
| 18 | 15 | |
| 19 | 21 | |
| 20 | 7 |
About Shuangying Yu
Shuangying Yu is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Global and Planetary Change, having authored 24 papers that have together received 514 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (12 papers), Amphibian and Reptile Biology (7 papers) and Pharmaceutical and Antibiotic Environmental Impacts (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (210 citations), Pollution (119 citations) and Nature and Landscape Conservation (66 citations). Shuangying Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jonathan D. Maul, George P. Cobb, Geoffrey S. Waldo, James E. Penner‐Hahn, Mike Wages, Scott M. Weir, Richard S. Halbrook, Donald W. Sparling, Christopher J. Salice and Song Tang. Their work appears in journals such as Journal of the American Chemical Society, The Science of The Total Environment and Environmental Pollution.
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.