Jun Jiang

1.1k citations
61 papers · 762 · h-index 15

Impact in

Papers in

    • Circular RNAs in diseases 7
    • RNA modifications and cancer 4
    • Angiogenesis and VEGF in Cancer 3
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 7

Jun Jiang

57 papers receiving 760 citations

Peers

Jun Jiang
Comparison fields: 5 of 92
  • Cancer Research 139
  • Immunology and Allergy 33
  • Immunology 101
  • Molecular Biology 313
  • Emergency Medicine 33
Replace Marta García-Contreras with:
Marta García-Contreras United States
David Hymel United States
Joachim Pircher Germany
Xin‐Yuan Fu United States
Hanna Mannell Germany
Seong Taek Oh South Korea
Kenichi Sekiguchi Japan
Ryan Whitaker United States
Jiahai Shi China
Yoshiaki Hagiwara Japan
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Citations per field
00.5×4.1×
Marta García-Contreras · 1×
Citations per year

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011144
2 200877
3 202358
4 201043
5 201840
6 200837
7 202427
8 201424
9 202023
10 202320
11 201920
12 202417
13 202016
14 201315
15
Endothelial-derived exosomes induced by lipopolysaccharide alleviate rat cardiomyocytes injury and apoptosis.
202114
16 202314
17 202413
18 201712
19 202311
20 202310

About Jun Jiang

Jun Jiang is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 762 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (7 papers), Kawasaki Disease and Coronary Complications (4 papers), RNA modifications and cancer (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Medicinal Plant Pharmacodynamics Research (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cancer Research (139 citations), Immunology and Allergy (33 citations), Immunology (101 citations), Molecular Biology (313 citations) and Emergency Medicine (33 citations). Jun Jiang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Changyi Chen, Qizhi Yao, Xinwen Wang, Peter H. Lin, Rui Jiang, Qing‐Ping Yao, Zong‐Lai Jiang, Shu Chien, Zhiqiang Yan and Ying‐Xin Qi. Their work appears in journals such as Journal of Controlled Release, Annals of Medicine, The Journal of Sexual Medicine, Heliyon and International Immunopharmacology.

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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