Dan Sun
Impact in
- Environmental Chemistry top 2%
- Arsenic contamination and mitigation
- Pollution top 5%
- Heavy metals in environment
Papers in
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- Plant nutrient uptake and metabolism 8
- Plant Stress Responses and Tolerance 7
- Plant Micronutrient Interactions and Effects 7
- Aluminum toxicity and tolerance in plants and animals 4
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- Epigenetics and DNA Methylation 4
- Co-authors
- Yue Cao (16 shared papers)Q. Lena (15 shared papers)Yanshan Chen (8 shared papers)Guohua Xu (6 shared papers)Huayuan Feng (12 shared papers)Soojin V. Yi (7 shared papers)Hao Ai (3 shared papers)Jinguang Huang (3 shared papers)
- Journals
- Environmental Science & Technology (10 papers)Plant Disease (6 papers)Journal of Hazardous Materials (4 papers)PLoS ONE (4 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Dan Sun
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Environmental Chemistry 342
- Pollution 238
- Plant Science 612
- Geochemistry and Petrology 57
- Aging 12
Countries citing papers authored by Dan Sun
This map shows the geographic impact of Dan Sun'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 Dan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Sun more than expected).
Fields of papers citing papers by Dan Sun
This network shows the impact of papers produced by Dan Sun. 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 Dan Sun. The network helps show where Dan Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Sun, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2012 | 102 | |
| 3 | 2019 | 69 | |
| 4 | 2019 | 60 | |
| 5 | 2018 | 55 | |
| 6 | 2017 | 52 | |
| 7 | 2020 | 43 | |
| 8 | 2015 | 40 | |
| 9 | 2020 | 30 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2014 | 24 | |
| 15 | 2018 | 23 | |
| 16 | 2013 | 23 | |
| 17 | 2023 | 22 | |
| 18 | 2022 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2020 | 18 |
About Dan Sun
Dan Sun is a scholar working on Plant Science, Molecular Biology, Environmental Chemistry, Oncology and Genetics, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (10 papers), Plant nutrient uptake and metabolism (8 papers), Plant Pathogens and Fungal Diseases (7 papers), Plant Stress Responses and Tolerance (7 papers), Plant Micronutrient Interactions and Effects (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Aluminum toxicity and tolerance in plants and animals (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Environmental Chemistry (342 citations), Pollution (238 citations), Plant Science (612 citations), Geochemistry and Petrology (57 citations) and Aging (12 citations). Dan Sun has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yue Cao, Q. Lena, Yanshan Chen, Guohua Xu, Huayuan Feng, Soojin V. Yi, Hao Ai, Jinguang Huang, Chengchao Zheng and Hanyi Mei. Their work appears in journals such as Environmental Science & Technology, Plant Disease, Journal of Hazardous Materials, PLoS ONE and Scientific Reports.
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.