Junlong Dang

752 citations
20 papers · 515 · h-index 14

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Urology top 5%
    • Periodontal Regeneration and Treatments

Papers in

    • Bone Metabolism and Diseases 3
    • Hedgehog Signaling Pathway Studies 2
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6

Junlong Dang

20 papers receiving 508 citations

Peers

Junlong Dang
Comparison fields: 5 of 66
  • Genetics 184
  • Urology 71
  • Physiology 39
  • Immunology 176
  • Rheumatology 75
Replace Gailian Zhang with:
Gailian Zhang China
Philipp Schoengraf Germany
P. Lencel France
Meaghan Stolk Germany
David C. Rishikof United States
FC Chao United States
Deena Durant United States
Tatjana Mallano Germany
Hu Li China
Abed El-Hakim El-Kadiry Canada
Junlong Dang relative to Gailian Zhang China Gailian Zhang's profile →
Citations per field
00.5×7.8×
Gailian Zhang · 1×
Citations per year

Countries citing papers authored by Junlong Dang

Since Specialization
Citations

This map shows the geographic impact of Junlong Dang'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 Junlong Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlong Dang more than expected).

Fields of papers citing papers by Junlong Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junlong Dang. 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 Junlong Dang. The network helps show where Junlong Dang may publish in the future.

Co-authors

The 25 scholars most cited alongside Junlong Dang, 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 Junlong Dang Line = papers co-authored together Junlong Dang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201975
2 201771
3 201752
4 201946
5 202036
6 202033
7 201931
8 202126
9 202025
10 202324
11 202421
12 202214
13 202313
14 202213
15 202111
16 20218
17 20248
18
A protocol for humanized synovitis mice model.
20194
19 20202
20 20242

About Junlong Dang

Junlong Dang is a scholar working on Molecular Biology, Immunology, Genetics, Surgery and Oncology, having authored 20 papers that have together received 515 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Mesenchymal stem cell research (5 papers), MicroRNA in disease regulation (3 papers), Adenosine and Purinergic Signaling (3 papers), Bone Metabolism and Diseases (3 papers), Oral and gingival health research (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Genetics (184 citations), Urology (71 citations), Physiology (39 citations), Immunology (176 citations) and Rheumatology (75 citations). Junlong Dang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Song Guo Zheng, Julie Wang, Feng Huang, Nancy J. Olsen, Jia Yuan, Youqiu Xue, Ximei Zhang, Jian Gu, Qing‐Ling Fu and Homayoun H. Zadeh. Their work appears in journals such as Frontiers in Immunology, Journal of Autoimmunity, Journal of Advanced Research, Cellular and Molecular Immunology and Scientific Reports.

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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