Dan He
Impact in
- Soil Science top 2%
- Soil Carbon and Nitrogen Dynamics
- Ecology top 2%
- Microbial Community Ecology and Physiology
Papers in
- Ecology 29
- Microbial Community Ecology and Physiology 23
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- Protist diversity and phylogeny 5
- Gut microbiota and health 4
- Co-authors
- Lijuan Ren (14 shared papers)Qinglong L. Wu (11 shared papers)Haiyan Chu (7 shared papers)Jonathan M. Adams (5 shared papers)Xingjia Xiang (4 shared papers)Jin He (5 shared papers)Yu Shi (3 shared papers)Weijun Shen (9 shared papers)
- Journals
- FEMS Microbiology Ecology (5 papers)Soil Biology and Biochemistry (4 papers)Forest Ecology and Management (3 papers)Frontiers in Microbiology (3 papers)PeerJ (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dan He
48 papers receiving 1.9k citations
Dan He's Hit Papers
Peers
Comparison fields: 5 of 93
- Soil Science 507
- Ecology 1.1k
- Environmental Chemistry 259
- Pollution 262
- Plant Science 559
Countries citing papers authored by Dan He
This map shows the geographic impact of Dan He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan He more than expected).
Fields of papers citing papers by Dan He
This network shows the impact of papers produced by Dan He. 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 He. The network helps show where Dan He may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan He, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatial scale affects the relative role of stochasticity versus determinism in soil bacterial communities in wheat fields across the North China Plain Hit paper breakdown → | 2018 | 371 |
| 2 | 2017 | 169 | |
| 3 | 2016 | 125 | |
| 4 | 2023 | 93 | |
| 5 | 2017 | 86 | |
| 6 | 2017 | 85 | |
| 7 | 2015 | 75 | |
| 8 | 2010 | 70 | |
| 9 | 2016 | 70 | |
| 10 | 2019 | 70 | |
| 11 | 2018 | 64 | |
| 12 | 2012 | 62 | |
| 13 | 2014 | 61 | |
| 14 | 2017 | 56 | |
| 15 | 2019 | 38 | |
| 16 | 2020 | 37 | |
| 17 | 2018 | 35 | |
| 18 | 2019 | 31 | |
| 19 | 2022 | 31 | |
| 20 | 2016 | 31 |
About Dan He
Dan He is a scholar working on Ecology, Molecular Biology, Soil Science, Plant Science and Pollution, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (23 papers), Soil Carbon and Nitrogen Dynamics (12 papers), Mycorrhizal Fungi and Plant Interactions (9 papers), Forest Ecology and Biodiversity Studies (6 papers), Marine and coastal ecosystems (6 papers), Heavy metals in environment (5 papers), Protist diversity and phylogeny (5 papers) and Gut microbiota and health (4 papers). The work is most often cited by research in Soil Science (507 citations), Ecology (1.1k citations), Environmental Chemistry (259 citations), Pollution (262 citations) and Plant Science (559 citations). Dan He has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lijuan Ren, Qinglong L. Wu, Haiyan Chu, Jonathan M. Adams, Xingjia Xiang, Jin He, Yu Shi, Weijun Shen, Yingying Ni and Kaoping Zhang. Their work appears in journals such as FEMS Microbiology Ecology, Soil Biology and Biochemistry, Forest Ecology and Management, Frontiers in Microbiology and PeerJ.
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.