Jun Dai
Impact in
- Soil Science top 1%
- Soil Carbon and Nitrogen Dynamics
- 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 14
- COVID-19 Clinical Research Studies 7
- Co-authors
- Kevin R. Butt (1 shared paper)Luc Dendooven (1 shared paper)Mark E. Hodson (1 shared paper)Daniel Cluzeau (1 shared paper)Geoff Baker (1 shared paper)Jérôme Tondoh (1 shared paper)L. Brussaard (1 shared paper)Guenola Pérès (1 shared paper)
In The Last Decade
Jun Dai
73 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Soil Science 738
- Pollution 844
- Infectious Diseases 742
- Health, Toxicology and Mutagenesis 362
- Complementary and alternative medicine 214
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 76 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 | 875 |
| 2 | Lianhuaqingwen exerts anti-viral and anti-inflammatory activity against novel coronavirus (SARS-CoV-2) Hit paper breakdown → | 2020 | 495 |
| 3 | 2013 | 286 | |
| 4 | 2010 | 211 | |
| 5 | 2003 | 194 | |
| 6 | 2009 | 169 | |
| 7 | 2015 | 113 | |
| 8 | 2020 | 98 | |
| 9 | 2020 | 89 | |
| 10 | 2017 | 84 | |
| 11 | 2020 | 84 | |
| 12 | 2009 | 67 | |
| 13 | 2005 | 45 | |
| 14 | 2017 | 45 | |
| 15 | 2019 | 34 | |
| 16 | 2017 | 33 | |
| 17 | 2020 | 33 | |
| 18 | 2010 | 32 | |
| 19 | 2021 | 29 | |
| 20 | 2015 | 28 |
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 76 papers that have together received 3.5k 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 (14 papers), Influenza Virus Research Studies (8 papers), Invertebrate Taxonomy and Ecology (8 papers), Environmental Toxicology and Ecotoxicology (7 papers), COVID-19 Clinical Research Studies (7 papers) and Mine drainage and remediation techniques (6 papers). The work is most often cited by research in Soil Science (738 citations), Pollution (844 citations), Infectious Diseases (742 citations), Health, Toxicology and Mutagenesis (362 citations) and Complementary and alternative medicine (214 citations). Jun Dai has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Kevin R. Butt, Luc Dendooven, Mark E. Hodson, Daniel Cluzeau, Geoff Baker, Jérôme Tondoh, L. Brussaard, Guenola Pérès, Manuel Blouin and Marc F. Benedetti. Their work appears in journals such as Environmental Pollution, Soil Biology and Biochemistry, Virology Journal, Environmental Science and Pollution Research and European Journal of Soil Science.
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.