Jun Dong
Impact in
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Oceanography top 10%
- Marine and coastal ecosystems
- Marine Biology and Ecology Research
Papers in
- Ecology 8
- Microbial Community Ecology and Physiology 7
- Environmental DNA in Biodiversity Studies 2
-
- Protist diversity and phylogeny 5
- Co-authors
- Jun Gong (4 shared papers)Xihan Liu (1 shared paper)Ramón Massana (1 shared paper)Xiaoli Zhang (3 shared papers)Maria Pachiadaki (1 shared paper)Bin Ma (1 shared paper)Fei Shi (1 shared paper)Virginia P. Edgcomb (1 shared paper)
- Journals
- Spine (1 paper)Protist (1 paper)Medicine (1 paper)Dalton Transactions (1 paper)Journal of Inorganic Biochemistry (1 paper)
- Partner nations
- ChinaThailandSaudi Arabia
In The Last Decade
Jun Dong
17 papers receiving 544 citations
Peers
Comparison fields: 5 of 77
- Ecology 328
- Oceanography 72
- Environmental Chemistry 56
- Renewable Energy, Sustainability and the Environment 83
- Molecular Biology 298
Countries citing papers authored by Jun Dong
This map shows the geographic impact of Jun Dong'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 Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dong more than expected).
Fields of papers citing papers by Jun Dong
This network shows the impact of papers produced by Jun Dong. 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 Dong. The network helps show where Jun Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dong, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 217 | |
| 2 | 2015 | 98 | |
| 3 | 2013 | 64 | |
| 4 | 2020 | 40 | |
| 5 | 2006 | 33 | |
| 6 | 2008 | 20 | |
| 7 | 2011 | 16 | |
| 8 | 2015 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2014 | 12 | |
| 11 | 2018 | 7 | |
| 12 | [Clinical experience of Qin's eight scalp needles for treatment of Parkinson's disease]. | 2014 | 3 |
| 13 | 2021 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 1995 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Jun Dong
Jun Dong is a scholar working on Ecology, Molecular Biology, Renewable Energy, Sustainability and the Environment, Surgery and Oceanography, having authored 21 papers that have together received 547 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (7 papers), Protist diversity and phylogeny (5 papers), Marine and coastal ecosystems (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Cervical and Thoracic Myelopathy (2 papers), Advanced Photocatalysis Techniques (2 papers), Iron oxide chemistry and applications (1 paper) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Ecology (328 citations), Oceanography (72 citations), Environmental Chemistry (56 citations), Renewable Energy, Sustainability and the Environment (83 citations) and Molecular Biology (298 citations). Jun Dong has collaborated with scholars based in China, Thailand and Saudi Arabia. Frequent co-authors include Jun Gong, Xihan Liu, Ramón Massana, Xiaoli Zhang, Maria Pachiadaki, Bin Ma, Fei Shi, Virginia P. Edgcomb, Junjian Chen and Fangbai Li. Their work appears in journals such as Spine, Protist, Medicine, Dalton Transactions and Journal of Inorganic Biochemistry.
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.