Jun Yao
Impact in
- Pollution top 0.2%
- Microbial bioremediation and biosurfactants
- Heavy metals in environment
- Water Science and Technology top 0.5%
- Adsorption and biosorption for pollutant removal
- Advanced oxidation water treatment
Papers in
- Pollution 85
- Heavy metals in environment 37
- Microbial bioremediation and biosurfactants 34
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- thermodynamics and calorimetric analyses 43
- Co-authors
- Huilun Chen (51 shared papers)Martin M. F. Choi (31 shared papers)Fei Wang (25 shared papers)Zhengji Yi (23 shared papers)Minmin Cai (16 shared papers)Gyula Záray (26 shared papers)Kanaji Masakorala (19 shared papers)Robert Duran (32 shared papers)
In The Last Decade
Jun Yao
259 papers receiving 7.2k citations
Jun Yao's Hit Papers
Peers
Comparison fields: 5 of 128
- Pollution 2.5k
- Water Science and Technology 1.3k
- Environmental Chemistry 512
- Health, Toxicology and Mutagenesis 576
- Soil Science 488
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun Yao. 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 Yao. The network helps show where Jun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yao, 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 264 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The mechanisms of biochar interactions with microorganisms in soil Hit paper breakdown → | 2019 | 238 |
| 2 | 2019 | 174 | |
| 3 | 2012 | 168 | |
| 4 | 2008 | 163 | |
| 5 | 2010 | 162 | |
| 6 | 2015 | 153 | |
| 7 | 2009 | 144 | |
| 8 | 2016 | 136 | |
| 9 | 2019 | 131 | |
| 10 | 2013 | 116 | |
| 11 | 2014 | 116 | |
| 12 | 2010 | 110 | |
| 13 | 2014 | 103 | |
| 14 | 2018 | 99 | |
| 15 | 2013 | 94 | |
| 16 | 2016 | 90 | |
| 17 | 2015 | 84 | |
| 18 | 2016 | 84 | |
| 19 | 2014 | 82 | |
| 20 | 2020 | 79 |
About Jun Yao
Jun Yao is a scholar working on Pollution, Physical and Theoretical Chemistry, Water Science and Technology, Environmental Chemistry and Health, Toxicology and Mutagenesis, having authored 264 papers that have together received 7.3k indexed citations. Recurring topics across this work include thermodynamics and calorimetric analyses (43 papers), Heavy metals in environment (37 papers), Microbial bioremediation and biosurfactants (34 papers), Adsorption and biosorption for pollutant removal (26 papers), Metal Extraction and Bioleaching (21 papers), Advanced oxidation water treatment (21 papers), Environmental Toxicology and Ecotoxicology (17 papers) and Radioactive element chemistry and processing (16 papers). The work is most often cited by research in Pollution (2.5k citations), Water Science and Technology (1.3k citations), Environmental Chemistry (512 citations), Health, Toxicology and Mutagenesis (576 citations) and Soil Science (488 citations). Jun Yao has collaborated with scholars based in China, Hungary and France. Frequent co-authors include Huilun Chen, Martin M. F. Choi, Fei Wang, Zhengji Yi, Minmin Cai, Gyula Záray, Kanaji Masakorala, Robert Duran, Hao Li and Jianli Liu. Their work appears in journals such as Journal of Hazardous Materials, Environmental Science and Pollution Research, Chemosphere, Environmental Pollution 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.