Jun Dai
Impact in
- Soil Science top 1%
- Soil Carbon and Nitrogen Dynamics
- Composting and Vermicomposting Techniques
- Pollution top 1%
- Heavy metals in environment
Papers in
- Pollution 25
- Heavy metals in environment 23
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- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 4
- Co-authors
- Kevin R. Butt (1 shared paper)Daniel Cluzeau (1 shared paper)Luc Dendooven (1 shared paper)Guenola Pérès (1 shared paper)Manuel Blouin (1 shared paper)Jérôme Tondoh (1 shared paper)Geoff Baker (1 shared paper)L. Brussaard (1 shared paper)
In The Last Decade
Jun Dai
72 papers receiving 3.0k citations
Jun Dai's Hit Papers
Peers
Comparison fields: 5 of 154
- Soil Science 745
- Pollution 855
- Health, Toxicology and Mutagenesis 362
- Infectious Diseases 457
- Ecology, Evolution, Behavior and Systematics 491
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Dai. The network helps show where Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dai, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of earthworm impact on soil function and ecosystem services Hit paper breakdown → | 2013 | 899 |
| 2 | 2013 | 287 | |
| 3 | 2010 | 213 | |
| 4 | 2003 | 197 | |
| 5 | 2009 | 172 | |
| 6 | 2015 | 114 | |
| 7 | 2020 | 98 | |
| 8 | 2020 | 92 | |
| 9 | 2020 | 88 | |
| 10 | 2017 | 87 | |
| 11 | 2009 | 68 | |
| 12 | 2017 | 47 | |
| 13 | 2005 | 47 | |
| 14 | 2019 | 37 | |
| 15 | 2017 | 34 | |
| 16 | 2020 | 33 | |
| 17 | 2010 | 32 | |
| 18 | 2021 | 31 | |
| 19 | 2015 | 30 | |
| 20 | 2021 | 29 |
About Jun Dai
Jun Dai is a scholar working on Pollution, Infectious Diseases, Soil Science, Health, Toxicology and Mutagenesis and Ecology, Evolution, Behavior and Systematics, having authored 75 papers that have together received 3.1k indexed citations. Recurring topics across this work include Heavy metals in environment (23 papers), Soil Carbon and Nitrogen Dynamics (14 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Invertebrate Taxonomy and Ecology (8 papers), Environmental Toxicology and Ecotoxicology (7 papers), Mine drainage and remediation techniques (6 papers), Influenza Virus Research Studies (6 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Soil Science (745 citations), Pollution (855 citations), Health, Toxicology and Mutagenesis (362 citations), Infectious Diseases (457 citations) and Ecology, Evolution, Behavior and Systematics (491 citations). Jun Dai has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Kevin R. Butt, Daniel Cluzeau, Luc Dendooven, Guenola Pérès, Manuel Blouin, Jérôme Tondoh, Geoff Baker, L. Brussaard, Mark E. Hodson and Marc F. Benedetti. Their work appears in journals such as Environmental Pollution, Soil Biology and Biochemistry, PLoS ONE, Virology Journal and Soil Ecology Letters.
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.