Hu Meng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Interference and Gene Delivery
Papers in
-
- RNA and protein synthesis mechanisms 9
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 4
-
- Inflammatory mediators and NSAID effects 7
- Co-authors
- Luhua Lai (7 shared papers)Xiao Gu (6 shared papers)Xiaoling Gao (6 shared papers)Hongzhuan Chen (6 shared papers)Qingxiang Song (6 shared papers)Qinglong An (3 shared papers)Weiwei Ming (3 shared papers)Huahua Song (5 shared papers)
- Journals
- Genomics (3 papers)Journal of Lipid Research (2 papers)Leukemia Research (2 papers)Molecular Psychiatry (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hu Meng
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 208
- Molecular Biology 724
- Biomaterials 141
- Pharmacology 101
- Neurology 49
Countries citing papers authored by Hu Meng
This map shows the geographic impact of Hu 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 Hu Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Meng more than expected).
Fields of papers citing papers by Hu Meng
This network shows the impact of papers produced by Hu 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 Hu Meng. The network helps show where Hu Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 177 | |
| 2 | 2020 | 136 | |
| 3 | 2015 | 107 | |
| 4 | 2016 | 97 | |
| 5 | 2016 | 74 | |
| 6 | 2016 | 72 | |
| 7 | 2015 | 67 | |
| 8 | 2019 | 64 | |
| 9 | 2019 | 46 | |
| 10 | 2015 | 45 | |
| 11 | 2015 | 44 | |
| 12 | 2023 | 30 | |
| 13 | 2020 | 30 | |
| 14 | 2009 | 30 | |
| 15 | 2018 | 29 | |
| 16 | 2019 | 27 | |
| 17 | 2022 | 26 | |
| 18 | 2018 | 26 | |
| 19 | 2008 | 26 | |
| 20 | 2017 | 24 |
About Hu Meng
Hu Meng is a scholar working on Molecular Biology, Pharmacology, Physiology, Genetics and Immunology, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Inflammatory mediators and NSAID effects (7 papers), Cancer-related molecular mechanisms research (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Alzheimer's disease research and treatments (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Cancer Research (208 citations), Molecular Biology (724 citations), Biomaterials (141 citations), Pharmacology (101 citations) and Neurology (49 citations). Hu Meng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Luhua Lai, Xiao Gu, Xiaoling Gao, Hongzhuan Chen, Qingxiang Song, Qinglong An, Weiwei Ming, Huahua Song, Ming Chen and Jialin Huang. Their work appears in journals such as Genomics, Journal of Lipid Research, Leukemia Research, Molecular Psychiatry and Bioorganic & Medicinal Chemistry 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.