Jun Dong

664 total citations
21 papers, 547 citations indexed

About

Jun Dong is a scholar working on Ecology, Molecular Biology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jun Dong has authored 21 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 7 papers in Molecular Biology and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jun Dong's work include Microbial Community Ecology and Physiology (7 papers), Protist diversity and phylogeny (5 papers) and Cervical and Thoracic Myelopathy (2 papers). Jun Dong is often cited by papers focused on Microbial Community Ecology and Physiology (7 papers), Protist diversity and phylogeny (5 papers) and Cervical and Thoracic Myelopathy (2 papers). Jun Dong collaborates with scholars based in China, Thailand and Australia. Jun Dong's co-authors include Jun Gong, Xihan Liu, Ramón Massana, Xiaoli Zhang, Virginia P. Edgcomb, Maria Pachiadaki, Bin Ma, Fei Shi, Junjian Chen and Fangbai Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Spine.

In The Last Decade

Jun Dong

17 papers receiving 544 citations

Peers

Jun Dong
Comparison fields: 5 of 77
  • Ecology 328
  • Molecular Biology 298
  • Renewable Energy, Sustainability and the Environment 83
  • Oceanography 72
  • Environmental Chemistry 56
Replace Shuya Liu with:
Shuya Liu China
Wenli Li China
Zhaoqi Song China
F. A. S. Sterrenburg Argentina
R. N. Ivanovsky Russia
Wenying Ye United States
Jennifer L. Shaw Australia
Elia Diestra Spain
Yuchen Han Germany
Aubrey K. Davis United States
Shuya Liu China View profile →
Citations per field, relative to Jun Dong
Jun Dong · 1×
Citations per year, relative to Jun Dong
Jun Dong · 1×

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-authorship network of co-authors of Jun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Dong. A scholar is included among the top collaborators of Jun Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Dong. Jun Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 3
6 14
7 40
8 2
9 1
10 7
11 15
12 98
13 12
14
[Clinical experience of Qin's eight scalp needles for treatment of Parkinson's disease].
3
15 217
16 64
17 1
18 16
19 33
20 1

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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