Jun Jin
Impact in
- Health, Toxicology and Mutagenesis top 0.5%
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
- Air Quality and Health Impacts
- Environmental Toxicology and Ecotoxicology
- Pollution top 2%
- Microplastics and Plastic Pollution
Papers in
-
- Toxic Organic Pollutants Impact 81
- Effects and risks of endocrine disrupting chemicals 46
- Air Quality and Health Impacts 23
- Pollution 29
- Microbial bioremediation and biosurfactants 10
- Microplastics and Plastic Pollution 9
- Co-authors
- Jicheng Hu (32 shared papers)Yinghan Wang (15 shared papers)Ying Wang (4 shared papers)Yulong Ma (10 shared papers)Peng Li (7 shared papers)Weizhi Liu (3 shared papers)Meng Xu (6 shared papers)Warren B. Kindzierski (2 shared papers)
In The Last Decade
Jun Jin
103 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Health, Toxicology and Mutagenesis 1.4k
- Pollution 478
- Environmental Chemistry 180
- Cancer Research 232
- Atmospheric Science 201
Countries citing papers authored by Jun Jin
This map shows the geographic impact of Jun Jin'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 Jun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Jin more than expected).
Fields of papers citing papers by Jun Jin
This network shows the impact of papers produced by Jun Jin. 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 Jun Jin. The network helps show where Jun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 108 | |
| 2 | 2009 | 79 | |
| 3 | 2008 | 75 | |
| 4 | 2016 | 74 | |
| 5 | 1997 | 68 | |
| 6 | 2013 | 57 | |
| 7 | 2017 | 54 | |
| 8 | 2016 | 51 | |
| 9 | 2011 | 50 | |
| 10 | 2014 | 45 | |
| 11 | 2019 | 44 | |
| 12 | 2012 | 44 | |
| 13 | 2018 | 42 | |
| 14 | 2015 | 41 | |
| 15 | 2011 | 41 | |
| 16 | 2016 | 38 | |
| 17 | 2012 | 35 | |
| 18 | 2020 | 34 | |
| 19 | 2015 | 34 | |
| 20 | 2018 | 32 |
About Jun Jin
Jun Jin is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Cancer Research, Environmental Chemistry and Atmospheric Science, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (81 papers), Effects and risks of endocrine disrupting chemicals (46 papers), Air Quality and Health Impacts (23 papers), Carcinogens and Genotoxicity Assessment (18 papers), Per- and polyfluoroalkyl substances research (12 papers), Microbial bioremediation and biosurfactants (10 papers), Microplastics and Plastic Pollution (9 papers) and Atmospheric chemistry and aerosols (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.4k citations), Pollution (478 citations), Environmental Chemistry (180 citations), Cancer Research (232 citations) and Atmospheric Science (201 citations). Jun Jin has collaborated with scholars based in China, Canada and Slovenia. Frequent co-authors include Jicheng Hu, Yinghan Wang, Ying Wang, Yulong Ma, Peng Li, Weizhi Liu, Meng Xu, Warren B. Kindzierski, Xiao Tang and Ying Wang. Their work appears in journals such as Chemosphere, The Science of The Total Environment, Environmental Toxicology and Chemistry, International Journal of Environmental Research and Public Health 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.