Jun Dong

620 citations
31 papers · 487 · h-index 10

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 3
    • Cancer, Hypoxia, and Metabolism 3

Jun Dong

27 papers receiving 479 citations

Peers

Jun Dong
Comparison fields: 5 of 85
  • Molecular Medicine 90
  • Virology 46
  • Neurology 60
  • Cancer Research 96
  • Molecular Biology 237
Replace Lijing Gong with:
Lijing Gong China
Brandon Berry United States
Di Lü China
Sarah Adriana Scuderi Italy
Limin Sun China
Su‐Man Kim South Korea
Ahmed F. Soliman Egypt
Chao‐Jin Xu China
Litao Li China
Jun Dong relative to Lijing Gong China Lijing Gong's profile →
Citations per field
00.5×11.5×
Lijing Gong · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008106
2 202155
3 202152
4 201951
5 200950
6 200626
7 202126
8 201618
9 202116
10 202015
11 20129
12 20247
13 20177
14 20246
15 20235
16 20205
17 20135
18 20125
19 20254
20 20214

About Jun Dong

Jun Dong is a scholar working on Molecular Biology, Cancer Research, Virology, Neurology and Immunology, having authored 31 papers that have together received 487 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), HIV Research and Treatment (5 papers), Cancer-related molecular mechanisms research (5 papers), Curcumin's Biomedical Applications (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Single-cell and spatial transcriptomics (3 papers), MicroRNA in disease regulation (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Molecular Medicine (90 citations), Virology (46 citations), Neurology (60 citations), Cancer Research (96 citations) and Molecular Biology (237 citations). Jun Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daxiang Lu, Rui Pan, Huangui Xiong, Xijing He, Chun Zhang, Hongmei Tang, Rui Pan, Ting Zhang, Liying Fan and Xuebin Qin. Their work appears in journals such as Cell Death Discovery, Nature Communications, International Journal of Oncology, Journal of Neuroimmune Pharmacology and Biomarkers in Medicine.

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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