Jun Dong

673 citations
21 papers · 562 · h-index 10

Impact in

  • Ecology top 5%
    • Microbial Community Ecology and Physiology
    • Environmental DNA in Biodiversity Studies
  • Oceanography top 10%
    • Marine and coastal ecosystems

Papers in

    • Microbial Community Ecology and Physiology 7
    • Environmental DNA in Biodiversity Studies 2
    • Isotope Analysis in Ecology 1
    • Protist diversity and phylogeny 5

Jun Dong

18 papers receiving 559 citations

Peers

Jun Dong
Comparison fields: 5 of 75
  • Ecology 327
  • Oceanography 71
  • Environmental Chemistry 58
  • Renewable Energy, Sustainability and the Environment 86
  • Molecular Biology 302
Replace R. N. Ivanovsky with:
R. N. Ivanovsky Russia
Shuya Liu China
Wenli Li China
Haruyo Yamaguchi Japan
Stefanie H. Baker United States
W. Matthew Sattley United States
Gargi Kulkarni United States
Niji Ohta Japan
Zhengke Li China
Jun Dong relative to R. N. Ivanovsky Russia R. N. Ivanovsky's profile →
Citations per field
00.5×1.5×2.0×
R. N. Ivanovsky · 1×
Citations per year

Countries citing papers authored by Jun Dong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Dong Line = papers co-authored together Jun Dong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013220
2 2015102
3 201364
4 202042
5 200633
6 200820
7 201116
8 202015
9 201515
10 201412
11 20187
12 20245
13 20213
14
[Clinical experience of Qin's eight scalp needles for treatment of Parkinson's disease].
20143
15 20192
16 20181
17 20131
18 19951
19 20250
20 20220

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 562 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (7 papers), Protist diversity and phylogeny (5 papers), Advanced Photocatalysis Techniques (2 papers), Marine and coastal ecosystems (2 papers), Cervical and Thoracic Myelopathy (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Isotope Analysis in Ecology (1 paper) and Granular flow and fluidized beds (1 paper). The work is most often cited by research in Ecology (327 citations), Oceanography (71 citations), Environmental Chemistry (58 citations), Renewable Energy, Sustainability and the Environment (86 citations) and Molecular Biology (302 citations). Jun Dong has collaborated with scholars based in China, Thailand and Australia. Frequent co-authors include Jun Gong, Ramón Massana, Xihan Liu, Xiaoli Zhang, Virginia P. Edgcomb, Maria Pachiadaki, Bin Ma, Fei Shi, Tongxu Liu and Junjian Chen. Their work appears in journals such as Frontiers in Plant Science, Medicine, Spine, PLoS ONE and Frontiers in Microbiology.

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.

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