Shuang Wang
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- Air Quality and Health Impacts 18
- Toxic Organic Pollutants Impact 11
- Cancer Research top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 26
- Gut microbiota and health 13
- Bioinformatics and Genomic Networks 13
- Aging top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology 18
- Genetic Mapping and Diversity in Plants and Animals 10
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- Birth, Development, and Health 11
- Co-authors
- Julie B. HerbstmanFrederica P. PereraHokeun SunVirginia RauhJulia VishnevetskyWei XiongAntonia M. CalafatJ. C. Atherton
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shuang Wang
166 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Health, Toxicology and Mutagenesis 543
- Cancer Research 407
- Molecular Biology 1.7k
- Aging 39
- Genetics 510
Countries citing papers authored by Shuang Wang
This map shows the geographic impact of Shuang 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 Shuang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang Wang more than expected).
Fields of papers citing papers by Shuang Wang
This network shows the impact of papers produced by Shuang 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 Shuang Wang. The network helps show where Shuang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuang 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 15 | |
| 17 | 2017 | 24 | |
| 18 | 2015 | 26 | |
| 19 | 2011 | 53 | |
| 20 | 2008 | 40 |
About Shuang Wang
Shuang Wang is a scholar working on Health, Toxicology and Mutagenesis, Aging and Molecular Biology, having authored 177 papers that have together received 4.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (26 papers), Air Quality and Health Impacts (18 papers), Genetic Associations and Epidemiology (18 papers), Gut microbiota and health (13 papers), Bioinformatics and Genomic Networks (13 papers), Birth, Development, and Health (11 papers), Toxic Organic Pollutants Impact (11 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (543 citations), Cancer Research (407 citations) and Molecular Biology (1.7k citations). Shuang Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Julie B. Herbstman, Frederica P. Perera, Hokeun Sun, Virginia Rauh, Julia Vishnevetsky, Wei Xiong, Antonia M. Calafat, J. C. Atherton, Peter R. Holt and Richard M. Peek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.