Hui Meng

2.9k citations
82 papers · 2.4k · h-index 26

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

Hui Meng

79 papers receiving 2.3k citations

Peers

Hui Meng
Comparison fields: 5 of 117
  • Cancer Research 759
  • Molecular Biology 1.1k
  • Developmental Biology 28
  • Developmental Neuroscience 43
  • Pathology and Forensic Medicine 179
Replace Luíse Meurer with:
Luíse Meurer Brazil
Hua Kang Wu China
Wen Deng China
Suzanne M. Bernier Canada
Jing Hao China
Zhenhong Ni China
Yoo‐Wook Kwon South Korea
Rita Dreier Germany
Maryam Farzaneh Iran
Hui Meng relative to Luíse Meurer Brazil Luíse Meurer's profile →
Citations per field
00.5×2×3×4×4.6×
Luíse Meurer · 1×
Citations per year

Countries citing papers authored by Hui Meng

Since Specialization
Citations

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

Fields of papers citing papers by Hui Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Meng, 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 Hui Meng Line = papers co-authored together Hui Meng 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 2016240
2 2015206
3 2017136
4 2016102
5 2008101
6 201294
7 201089
8 201461
9 201761
10 201256
11 201456
12
MicroRNA-330-3p functions as an oncogene in human esophageal cancer by targeting programmed cell death 4.
201556
13 202056
14 201153
15 201851
16 201842
17 201541
18 201339
19 201739
20 201237

About Hui Meng

Hui Meng is a scholar working on Cancer Research, Complementary and alternative medicine, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (6 papers), Renal cell carcinoma treatment (5 papers), Epigenetics and DNA Methylation (5 papers), Traditional Chinese Medicine Analysis (5 papers), Immunotherapy and Immune Responses (4 papers), Vestibular and auditory disorders (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (759 citations), Molecular Biology (1.1k citations), Developmental Biology (28 citations), Developmental Neuroscience (43 citations) and Pathology and Forensic Medicine (179 citations). Hui Meng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kai You Wang, Yun Bai, Juan Li, Yun Bai, Li‐Wen Hu, Kang Yang, Hua Feng, Yuanyuan Wu, Xuedan Chen and S. Jack Hu. Their work appears in journals such as Journal of Ethnopharmacology, Cancer Research, Chinese Journal of Integrative Medicine, Neurological Research and Frontiers in Physiology.

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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