Meng Cui

437 citations
16 papers · 312 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Phytochemicals and Antioxidant Activities

Papers in

    • Circular RNAs in diseases 4
    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • Glutathione Transferases and Polymorphisms 1
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4

Meng Cui

16 papers receiving 307 citations

Peers

Meng Cui
Comparison fields: 5 of 70
  • Cancer Research 83
  • Biochemistry 30
  • Applied Microbiology and Biotechnology 6
  • Pharmacology 22
  • Molecular Medicine 12
Replace Fang Cheng Wong with:
Fang Cheng Wong Singapore
Ying-Jan Wang Taiwan
Gülseren Bağcı Türkiye
Chieh Huo Taiwan
Yang Ho Park South Korea
Sang‐Mi Woo South Korea
Jeong Moon South Korea
Xiaocheng Cao China
Chandrasekaran Guruvayoorappan India
Jang Mi Han South Korea
Meng Cui relative to Fang Cheng Wong Singapore Fang Cheng Wong's profile →
Citations per field
00.5×1.6×
Fang Cheng Wong · 1×
Citations per year

Countries citing papers authored by Meng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Meng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015122
2 202335
3 202430
4 201826
5
Identification of microRNAs and target genes involved in serous ovarian carcinoma and their influence on survival.
201413
6 201912
7 201711
8 201911
9 202210
10 20209
11 20148
12 20128
13 20245
14 20215
15 20154
16 20223

About Meng Cui

Meng Cui is a scholar working on Molecular Biology, Cancer Research, Plant Science, Cell Biology and Genetics, having authored 16 papers that have together received 312 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), RNA modifications and cancer (2 papers), Plant nutrient uptake and metabolism (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Cancer Research (83 citations), Biochemistry (30 citations), Applied Microbiology and Biotechnology (6 citations), Pharmacology (22 citations) and Molecular Medicine (12 citations). Meng Cui has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Zhuo Wang, Changfei Mao, Haixia Cao, Rong Ma, Ling Mao, He-Da Zhang, Jian Wu, Jinhai Tang, Wei Chen and Dawei Sun. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Cellular Physiology and Biochemistry, Cell Research and FEBS Letters.

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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