Shanshan Yin
- Health, Toxicology and Mutagenesis top 0.5%
- Pollution top 0.5%
- Environmental Chemistry top 1%
- Industrial and Manufacturing Engineering top 1%
- Materials Chemistry
- Co-authors
- Weiping LiuChenye XuFangfang ChenFang LiMuhammad AamirChensi ShenBarry C. KellyChunjie Gu
- Topics
- Toxic Organic Pollutants Impact (33 papers)Effects and risks of endocrine disrupting chemicals (23 papers)Per- and polyfluoroalkyl substances research (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyThe Science of The Total Environment
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Shanshan Yin
103 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Health, Toxicology and Mutagenesis 1.2k
- Pollution 1.1k
- Environmental Chemistry 660
- Industrial and Manufacturing Engineering 505
- Materials Chemistry 355
Countries citing papers authored by Shanshan Yin
This map shows the geographic impact of Shanshan Yin'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 Shanshan Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanshan Yin more than expected).
Fields of papers citing papers by Shanshan Yin
This network shows the impact of papers produced by Shanshan Yin. 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 Shanshan Yin. The network helps show where Shanshan Yin may publish in the future.
Co-authorship network of co-authors of Shanshan Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Yin. A scholar is included among the top collaborators of Shanshan Yin 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 Shanshan Yin. Shanshan Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 36 | |
| 11 | 15 | |
| 12 | 42 | |
| 13 | 4 | |
| 14 | 57 | |
| 15 | 26 | |
| 16 | 61 | |
| 17 | 143 | |
| 18 | 110 | |
| 19 | 7 | |
| 20 | 2 |
About Shanshan Yin
Shanshan Yin is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Pollution, having authored 108 papers that have together received 3.2k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (33 papers), Effects and risks of endocrine disrupting chemicals (23 papers) and Per- and polyfluoroalkyl substances research (17 papers). The work is most often cited by research in Pollution (1.1k citations), Health, Toxicology and Mutagenesis (1.2k citations) and Environmental Chemistry (660 citations). Shanshan Yin has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Weiping Liu, Chenye Xu, Fangfang Chen, Fang Li, Muhammad Aamir, Chensi Shen, Barry C. Kelly, Chunjie Gu, Beibei Zhang and Adrian Covaci. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology 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.