Ju Mei

1.0k citations
37 papers · 774 · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 5
    • Ubiquitin and proteasome pathways 3
    • Epigenetics and DNA Methylation 3
    • Circular RNAs in diseases 3
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 7

Ju Mei

34 papers receiving 770 citations

Peers

Ju Mei
Comparison fields: 5 of 68
  • Cancer Research 275
  • Molecular Biology 466
  • Pulmonary and Respiratory Medicine 142
  • Oncology 104
  • Genetics 32
Replace Youngtae Jeong with:
Youngtae Jeong United States
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Ju Mei relative to Youngtae Jeong United States Youngtae Jeong's profile →
Citations per field
00.5×1.5×1.8×
Youngtae Jeong · 1×
Citations per year

Countries citing papers authored by Ju Mei

Since Specialization
Citations

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

Fields of papers citing papers by Ju Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 201565
3 201646
4 201146
5 200939
6 201538
7 201536
8
Knockdown of SOX12 expression inhibits the proliferation and metastasis of lung cancer cells.
201732
9 201531
10 201830
11 201429
12 202329
13 201928
14 201426
15 202026
16 201624
17 201524
18 202122
19 201520
20 201118

About Ju Mei

Ju Mei is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 37 papers that have together received 774 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (5 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Ferroptosis and cancer prognosis (3 papers), Circular RNAs in diseases (3 papers) and Coronary Artery Anomalies (3 papers). The work is most often cited by research in Cancer Research (275 citations), Molecular Biology (466 citations), Pulmonary and Respiratory Medicine (142 citations), Oncology (104 citations) and Genetics (32 citations). Ju Mei has collaborated with scholars based in China. Frequent co-authors include Fangbao Ding, Haibo Xiao, Xiao Xie, Fengqing Hu, Jiang Lianyong, Rui Bi, Mingsong Wang, Nan Ma, Zhiwei Xu and Yan Tan. Their work appears in journals such as Biochemical and Biophysical Research Communications, Environmental Toxicology, Aging, The Annals of Thoracic Surgery and Tumor Biology.

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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