Yu Meng
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Hedgehog Signaling Pathway Studies 3
- Wnt/β-catenin signaling in development and cancer 3
- Genomics, phytochemicals, and oxidative stress 2
- Oncology 8
- Cancer Cells and Metastasis 6
- Cancer-related Molecular Pathways 2
- Co-authors
- Chunfeng Xie (14 shared papers)Caiyun Zhong (13 shared papers)Xiaoqian Wang (13 shared papers)Shanshan Geng (12 shared papers)Xiaoting Li (12 shared papers)Jianyun Zhu (10 shared papers)Jieshu Wu (11 shared papers)Yue Chen (10 shared papers)
- Journals
- Phytotherapy Research (3 papers)Biochemical and Biophysical Research Communications (2 papers)Medicine (2 papers)Materials & Design (2 papers)Toxicology Letters (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Yu Meng
29 papers receiving 843 citations
Peers
Comparison fields: 5 of 92
- Molecular Medicine 117
- Cancer Research 128
- Applied Microbiology and Biotechnology 12
- Molecular Biology 446
- Oncology 150
Countries citing papers authored by Yu Meng
This map shows the geographic impact of Yu 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 Yu Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Meng more than expected).
Fields of papers citing papers by Yu Meng
This network shows the impact of papers produced by Yu 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 Yu Meng. The network helps show where Yu Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2016 | 82 | |
| 3 | 2017 | 76 | |
| 4 | 2018 | 69 | |
| 5 | 2017 | 62 | |
| 6 | 2018 | 45 | |
| 7 | 2019 | 41 | |
| 8 | 2018 | 37 | |
| 9 | 2018 | 35 | |
| 10 | 2019 | 34 | |
| 11 | 2017 | 32 | |
| 12 | 2017 | 29 | |
| 13 | 2018 | 27 | |
| 14 | 2018 | 23 | |
| 15 | 2020 | 16 | |
| 16 | 2023 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2017 | 11 | |
| 20 | 2021 | 8 |
About Yu Meng
Yu Meng is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Biomedical Engineering, having authored 29 papers that have together received 844 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Nanoplatforms for cancer theranostics (5 papers), Hedgehog Signaling Pathway Studies (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Cancer-related Molecular Pathways (2 papers) and Quantum Dots Synthesis And Properties (2 papers). The work is most often cited by research in Molecular Medicine (117 citations), Cancer Research (128 citations), Applied Microbiology and Biotechnology (12 citations), Molecular Biology (446 citations) and Oncology (150 citations). Yu Meng has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chunfeng Xie, Caiyun Zhong, Xiaoqian Wang, Shanshan Geng, Xiaoting Li, Jianyun Zhu, Jieshu Wu, Yue Chen, Xue Yang and Shijia Wang. Their work appears in journals such as Phytotherapy Research, Biochemical and Biophysical Research Communications, Medicine, Materials & Design and Toxicology 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.