Jin Y. Chen
Impact in
-
- Air Quality and Health Impacts
- Toxic Organic Pollutants Impact
- Environmental Chemistry top 5%
- Per- and polyfluoroalkyl substances research
Papers in
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- Air Quality and Health Impacts 9
- Indoor Air Quality and Microbial Exposure 2
-
- Genomics, phytochemicals, and oxidative stress 2
- Co-authors
- Ying‐Hsuan Lin (15 shared papers)Huanhuan Jiang (8 shared papers)Alexa Canchola (6 shared papers)Haofei Zhang (4 shared papers)Zhong Li (1 shared paper)Yaochun Yu (1 shared paper)R. Bahreini (4 shared papers)Yujie Men (1 shared paper)
- Journals
- Environmental Science & Technology (3 papers)Chemical Research in Toxicology (3 papers)Environment International (2 papers)Atmosphere (2 papers)Environmental Science Processes & Impacts (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jin Y. Chen
17 papers receiving 587 citations
Peers
Comparison fields: 5 of 83
- Health, Toxicology and Mutagenesis 326
- Environmental Chemistry 114
- Atmospheric Science 201
- Environmental Engineering 82
- Fluid Flow and Transfer Processes 31
Countries citing papers authored by Jin Y. Chen
This map shows the geographic impact of Jin Y. Chen'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 Jin Y. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Y. Chen more than expected).
Fields of papers citing papers by Jin Y. Chen
This network shows the impact of papers produced by Jin Y. Chen. 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 Jin Y. Chen. The network helps show where Jin Y. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Y. Chen, 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 | 2020 | 128 | |
| 2 | 2019 | 89 | |
| 3 | 2019 | 81 | |
| 4 | 2022 | 48 | |
| 5 | 2020 | 37 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2022 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 16 | |
| 15 | 2023 | 11 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Jin Y. Chen
Jin Y. Chen is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Atmospheric Science, Automotive Engineering and Environmental Engineering, having authored 19 papers that have together received 593 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (9 papers), Atmospheric chemistry and aerosols (4 papers), Vehicle emissions and performance (3 papers), Atmospheric Ozone and Climate (3 papers), Air Quality Monitoring and Forecasting (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (326 citations), Environmental Chemistry (114 citations), Atmospheric Science (201 citations), Environmental Engineering (82 citations) and Fluid Flow and Transfer Processes (31 citations). Jin Y. Chen has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ying‐Hsuan Lin, Huanhuan Jiang, Alexa Canchola, Haofei Zhang, Zhong Li, Yaochun Yu, R. Bahreini, Yujie Men, Alexander L. Frie and Changxu Ren. Their work appears in journals such as Environmental Science & Technology, Chemical Research in Toxicology, Environment International, Atmosphere and Environmental Science Processes & Impacts.
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.