Jun Jiang

1.5k citations
82 papers · 1.0k · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • Circular RNAs in diseases

Papers in

    • Circular RNAs in diseases 5
    • RNA modifications and cancer 5
    • Plant Gene Expression Analysis 4
    • Epigenetics and DNA Methylation 4
    • Nitrogen and Sulfur Effects on Brassica 4
    • Prostate Cancer Treatment and Research 5

Jun Jiang

73 papers receiving 992 citations

Peers

Jun Jiang
Comparison fields: 5 of 112
  • Cancer Research 194
  • Molecular Biology 515
  • Physiology 155
  • Oncology 137
  • Neurology 40
Replace Xiaolu Li with:
Xiaolu Li China
Jian Fang China
Hui Hui China
Gaofeng Zeng China
Rui Guo China
Lei Feng China
Rui Ji China
Limin Chai China
Aicha Saadane United States
Jun Jiang relative to Xiaolu Li China Xiaolu Li's profile →
Citations per field
00.5×7.5×
Xiaolu Li · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014180
2 201449
3 201347
4 201546
5 202245
6 200544
7 201344
8 202143
9 201535
10 201533
11 202126
12
MicroRNA-202 induces cell cycle arrest and apoptosis in lung cancer cells through targeting cyclin D1.
201623
13 202322
14 202422
15 202120
16 202118
17 202318
18 202214
19 202313
20 202413

About Jun Jiang

Jun Jiang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Plant Science and Oncology, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (5 papers), Prostate Cancer Treatment and Research (5 papers), Plant Gene Expression Analysis (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Epigenetics and DNA Methylation (4 papers) and Nitrogen and Sulfur Effects on Brassica (4 papers). The work is most often cited by research in Cancer Research (194 citations), Molecular Biology (515 citations), Physiology (155 citations), Oncology (137 citations) and Neurology (40 citations). Jun Jiang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Hongbin Luo, Xinghua Liu, Kuan Zeng, Gang Yin, Guang Yu, Xiaochuan Wang, Jian–Zhi Wang, Zan-Chao Liu, Ye Feng and Yiyuan Xia. Their work appears in journals such as Frontiers in Pharmacology, Blood Pressure Monitoring, Medicine, Frontiers in Plant Science 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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