Dazhou Chen
Impact in
-
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
- Pollution top 5%
Papers in
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- GABA and Rice Research 9
- Rice Cultivation and Yield Improvement 6
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- Toxic Organic Pollutants Impact 10
- Co-authors
- Hua Tang (12 shared papers)Lei Li (12 shared papers)Xiande Liu (3 shared papers)Yongliang Yang (5 shared papers)Jing Pan (5 shared papers)Frank Wania (2 shared papers)Wenjie Liu (2 shared papers)John N. Westgate (2 shared papers)
- Journals
- Analytical Methods (5 papers)Chemosphere (3 papers)The Science of The Total Environment (3 papers)Chinese Journal of Chemistry (2 papers)Environmental Science & Technology (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Dazhou Chen
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Health, Toxicology and Mutagenesis 457
- Pollution 230
- Analytical Chemistry 182
- Food Science 177
- Plant Science 340
Countries citing papers authored by Dazhou Chen
This map shows the geographic impact of Dazhou 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 Dazhou Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dazhou Chen more than expected).
Fields of papers citing papers by Dazhou Chen
This network shows the impact of papers produced by Dazhou 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 Dazhou Chen. The network helps show where Dazhou Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dazhou 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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 111 | |
| 2 | 2008 | 89 | |
| 3 | 2015 | 83 | |
| 4 | 2006 | 78 | |
| 5 | 2009 | 75 | |
| 6 | 2010 | 69 | |
| 7 | 2015 | 61 | |
| 8 | 2016 | 56 | |
| 9 | 2014 | 50 | |
| 10 | 2022 | 43 | |
| 11 | 2012 | 41 | |
| 12 | 2014 | 40 | |
| 13 | 2014 | 35 | |
| 14 | 2014 | 29 | |
| 15 | 2021 | 25 | |
| 16 | 2013 | 25 | |
| 17 | 2015 | 22 | |
| 18 | 2007 | 22 | |
| 19 | 2013 | 16 | |
| 20 | 2013 | 14 |
About Dazhou Chen
Dazhou Chen is a scholar working on Plant Science, Health, Toxicology and Mutagenesis, Analytical Chemistry, Spectroscopy and Materials Chemistry, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Analytical chemistry methods development (11 papers), Toxic Organic Pollutants Impact (10 papers), GABA and Rice Research (9 papers), Layered Double Hydroxides Synthesis and Applications (8 papers), Pesticide Residue Analysis and Safety (7 papers), Analytical Chemistry and Chromatography (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Rice Cultivation and Yield Improvement (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (457 citations), Pollution (230 citations), Analytical Chemistry (182 citations), Food Science (177 citations) and Plant Science (340 citations). Dazhou Chen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hua Tang, Lei Li, Xiande Liu, Yongliang Yang, Jing Pan, Frank Wania, Wenjie Liu, John N. Westgate, Wen Yang and Yuan Zhao. Their work appears in journals such as Analytical Methods, Chemosphere, The Science of The Total Environment, Chinese Journal of Chemistry and Environmental Science & Technology.
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.