Wei Meng
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Circular RNAs in diseases 9
- RNA modifications and cancer 8
- RNA Research and Splicing 6
- Epigenetics and DNA Methylation 6
- Protein Degradation and Inhibitors 4
- Cancer-related gene regulation 4
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- MicroRNA in disease regulation 18
- Cancer-related molecular mechanisms research 11
- Co-authors
- Arnab Chakravarti (11 shared papers)Ri Cui (7 shared papers)Carlo M. Croce (6 shared papers)Yujie Tang (6 shared papers)Jie Ma (7 shared papers)Tim Lautenschlaeger (6 shared papers)Guang Liang (3 shared papers)Matteo Fassan (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cell Biology International (3 papers)BioMed Research International (2 papers)Cancer Research (2 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Wei Meng
57 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 699
- Genetics 219
- Molecular Biology 1.2k
- Oncology 160
- Developmental Neuroscience 23
Countries citing papers authored by Wei Meng
This map shows the geographic impact of Wei 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 Wei Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Meng more than expected).
Fields of papers citing papers by Wei Meng
This network shows the impact of papers produced by Wei 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 Wei Meng. The network helps show where Wei Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 261 | |
| 2 | 2020 | 142 | |
| 3 | 2018 | 131 | |
| 4 | 2015 | 121 | |
| 5 | 2013 | 103 | |
| 6 | 2013 | 94 | |
| 7 | 2013 | 65 | |
| 8 | 2015 | 59 | |
| 9 | 2017 | 54 | |
| 10 | 2018 | 49 | |
| 11 | 2013 | 46 | |
| 12 | 2017 | 44 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2012 | 28 | |
| 16 | 2018 | 28 | |
| 17 | 2014 | 27 | |
| 18 | 2014 | 25 | |
| 19 | 2012 | 25 | |
| 20 | 2016 | 24 |
About Wei Meng
Wei Meng is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (9 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (6 papers), Epigenetics and DNA Methylation (6 papers), Protein Degradation and Inhibitors (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Cancer Research (699 citations), Genetics (219 citations), Molecular Biology (1.2k citations), Oncology (160 citations) and Developmental Neuroscience (23 citations). Wei Meng has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Arnab Chakravarti, Ri Cui, Carlo M. Croce, Yujie Tang, Jie Ma, Tim Lautenschlaeger, Guang Liang, Matteo Fassan, Meng Li and Fang Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Biology International, BioMed Research International, Cancer Research 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.