Jun Cao

1.2k citations
47 papers · 804 · h-index 15

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Jun Cao

45 papers receiving 785 citations

Peers

Jun Cao
Comparison fields: 5 of 93
  • Toxicology 39
  • Cancer Research 113
  • Geriatrics and Gerontology 25
  • Parasitology 36
  • Molecular Biology 323
Replace Eun‐Taik Jeong with:
Eun‐Taik Jeong South Korea
Francesco Mariani Italy
Qiaoli Zheng China
Houda Alatassi United States
Hongchun Liu China
Lei Shen China
Yuehong Huang China
Maria I. Edelweiss Brazil
Bo Han China
Jun Cao relative to Eun‐Taik Jeong South Korea Eun‐Taik Jeong's profile →
Citations per field
00.5×1.5×2.0×
Eun‐Taik Jeong · 1×
Citations per year

Countries citing papers authored by Jun Cao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 200872
3 201461
4 201459
5 199958
6 201052
7 202041
8 202035
9 201533
10 201531
11 201531
12 201729
13 200925
14 201620
15
LncRNA PTGS2 regulates islet β-cell function through the miR-146a-5p/RBP4 axis and its diagnostic value in type 2 diabetes mellitus.
202117
16 202114
17 202414
18 200914
19 201712
20 201912

About Jun Cao

Jun Cao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Organic Chemistry, having authored 47 papers that have together received 804 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Vascular Procedures and Complications (4 papers), RNA and protein synthesis mechanisms (4 papers), Cancer-related molecular mechanisms research (3 papers), Peptidase Inhibition and Analysis (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Toxicology (39 citations), Cancer Research (113 citations), Geriatrics and Gerontology (25 citations), Parasitology (36 citations) and Molecular Biology (323 citations). Jun Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Minghua Ge, Zhi‐Qiang Ling, Xiaoping Zou, Douglas B. Cowan, Connor A. Emdin, Wenjia Liu, Kazem Rahimi, Yulin Yao, Da‐Zhi Wang and Tie Chong. Their work appears in journals such as World Journal of Gastroenterology, Journal of Interventional Cardiology, The Journal of Biochemistry, Pathogens and Blood.

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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