Jun Dong

703 citations
25 papers · 503 · h-index 13

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Tryptophan and brain disorders

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Traumatic Brain Injury and Neurovascular Disturbances 1

Jun Dong

24 papers receiving 501 citations

Peers

Jun Dong
Comparison fields: 5 of 75
  • Neurology 139
  • Biological Psychiatry 34
  • Molecular Medicine 64
  • Virology 58
  • Developmental Neuroscience 31
Replace Massimo Barbierato with:
Massimo Barbierato Italy
Xuesen Yang China
Elona Rrapo United States
Yingxia Liang China
Olivia Osborne United States
Matthew V. Russo United States
Salomon Kuizon United States
Mina Elahy Australia
Sara Sarroca Spain
Donatella Lattuada Italy
Jun Dong relative to Massimo Barbierato Italy Massimo Barbierato's profile →
Citations per field
00.5×6.4×
Massimo Barbierato · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010102
2 201390
3 202241
4 201741
5 201835
6 201928
7 201424
8 202120
9 202020
10 201618
11 201415
12 201514
13 201713
14 200610
15 20198
16 20156
17 20215
18 20195
19 20142
20 20162

About Jun Dong

Jun Dong is a scholar working on Neurology, Molecular Biology, Virology, Epidemiology and Surgery, having authored 25 papers that have together received 503 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), HIV Research and Treatment (5 papers), Autophagy in Disease and Therapy (3 papers), Cervical and Thoracic Myelopathy (3 papers), Acupuncture Treatment Research Studies (2 papers), HIV-related health complications and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Neurology (139 citations), Biological Psychiatry (34 citations), Molecular Medicine (64 citations), Virology (58 citations) and Developmental Neuroscience (31 citations). Jun Dong has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Huangui Xiong, Yan Zhou, Jianuo Liu, Hongmei Tang, Rui Pan, Liqing Lin, Mingliang Jiang, Yanyan Xing, Luyan Guo and Yanyan Xing. Their work appears in journals such as Neuroscience, Neurological Sciences, Spine, PLoS ONE and Advanced Healthcare Materials.

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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