Jun Lou

793 citations
18 papers · 600 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

    • Ion Transport and Channel Regulation 2
    • RNA Research and Splicing 2
    • Ion channel regulation and function 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

Jun Lou

18 papers receiving 596 citations

Peers

Jun Lou
Comparison fields: 5 of 83
  • Cancer Research 140
  • Immunology 135
  • Biological Psychiatry 12
  • Gastroenterology 23
  • Molecular Biology 268
Replace Shinya Imada with:
Shinya Imada Japan
Adrianne Burgess United States
Silvia Galván-Peña United States
Jeff Kwak United States
Penny L. Jeffery Australia
Valerie F. Curtis United States
Na Du China
Lauren C. Binge Australia
Shaoping Wu China
Luís Almeida Germany
Jun Lou relative to Shinya Imada Japan Shinya Imada's profile →
Citations per field
00.5×1.5×1.9×
Shinya Imada · 1×
Citations per year

Countries citing papers authored by Jun Lou

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010139
2 2020120
3 201767
4 201756
5 201836
6 202130
7 202128
8 201723
9 201719
10 202017
11 202212
12 202110
13 201910
14 20249
15 20199
16 20247
17 20247
18 20211

About Jun Lou

Jun Lou is a scholar working on Molecular Biology, Cancer Research, Immunology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 600 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Ion Transport and Channel Regulation (2 papers), Gastrointestinal motility and disorders (2 papers), RNA Research and Splicing (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cancer Research (140 citations), Immunology (135 citations), Biological Psychiatry (12 citations), Gastroenterology (23 citations) and Molecular Biology (268 citations). Jun Lou has collaborated with scholars based in China, Croatia and France. Frequent co-authors include Yongli Wang, Qiushi Liao, Yanxia Hu, Zhe Jin, Zhimin Zhang, Linrong Lu, Di Wang, Jianli Wang, Weilin Chen and Yiqi Liu. Their work appears in journals such as Experimental Cell Research, Frontiers in Physiology, Journal of Cellular Biochemistry, Molecular Immunology and World Journal of Gastroenterology.

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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