Hu Meng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 4
- Machine Learning in Bioinformatics 4
- Pharmacology 11
- Inflammatory mediators and NSAID effects 9
- Co-authors
- Luhua Lai (7 shared papers)Xiaoling Gao (6 shared papers)Qingxiang Song (6 shared papers)Hongzhuan Chen (6 shared papers)Xiao Gu (6 shared papers)Huahua Song (5 shared papers)Qinglong An (3 shared papers)Weiwei Ming (3 shared papers)
- Journals
- Genomics (3 papers)Leukemia Research (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Neuroscience Bulletin (2 papers)Journal of Lipid Research (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hu Meng
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 240
- Biomaterials 145
- Molecular Biology 751
- Neurology 54
- Pharmacology 108
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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 174 | |
| 2 | 2020 | 134 | |
| 3 | 2015 | 106 | |
| 4 | 2016 | 96 | |
| 5 | 2016 | 74 | |
| 6 | 2016 | 71 | |
| 7 | 2015 | 65 | |
| 8 | 2019 | 60 | |
| 9 | 2015 | 44 | |
| 10 | 2019 | 44 | |
| 11 | 2015 | 41 | |
| 12 | 2020 | 30 | |
| 13 | 2009 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2019 | 26 | |
| 16 | 2008 | 26 | |
| 17 | 2023 | 26 | |
| 18 | 2018 | 26 | |
| 19 | 2022 | 24 | |
| 20 | 2017 | 24 |
About Hu Meng
Hu Meng is a scholar working on Molecular Biology, Pharmacology, Genetics, Physiology and Immunology, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Inflammatory mediators and NSAID effects (9 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Alzheimer's disease research and treatments (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Estrogen and related hormone effects (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Cancer Research (240 citations), Biomaterials (145 citations), Molecular Biology (751 citations), Neurology (54 citations) and Pharmacology (108 citations). Hu Meng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Luhua Lai, Xiaoling Gao, Qingxiang Song, Hongzhuan Chen, Xiao Gu, Huahua Song, Qinglong An, Weiwei Ming, Jialin Huang and Ming Chen. Their work appears in journals such as Genomics, Leukemia Research, Bioorganic & Medicinal Chemistry Letters, Neuroscience Bulletin and Journal of Lipid Research.
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.