Meng Liu
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Molecular Biology top 10%
- Protein Hydrolysis and Bioactive Peptides
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Bioinformatics and Genomic Networks 3
- Congenital heart defects research 2
- Genetics 9
- Co-authors
- Zhongchao Han (2 shared papers)Yu Ma (2 shared papers)Zhijian Li (1 shared paper)Silafu Aibai (1 shared paper)Qian Liu (1 shared paper)Yi Jiang (1 shared paper)Ze‐Kun Tao (1 shared paper)Di Huang (1 shared paper)
- Journals
- Scientific Reports (4 papers)PLoS ONE (2 papers)Brain Research (2 papers)OncoTargets and Therapy (2 papers)EBioMedicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Meng Liu
68 papers receiving 1.4k citations
Meng Liu's Hit Papers
Peers
Comparison fields: 5 of 131
- Genetics 100
- Molecular Biology 679
- Biochemistry 57
- Cancer Research 121
- Food Science 127
Countries citing papers authored by Meng Liu
This map shows the geographic impact of Meng Liu'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 Meng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Liu more than expected).
Fields of papers citing papers by Meng Liu
This network shows the impact of papers produced by Meng Liu. 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 Meng Liu. The network helps show where Meng Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Liu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 148 | |
| 2 | Yeast Extract: Characteristics, Production, Applications and Future Perspectives Hit paper breakdown → | 2022 | 146 |
| 3 | 2013 | 94 | |
| 4 | 2007 | 87 | |
| 5 | 2011 | 84 | |
| 6 | 2017 | 71 | |
| 7 | 2008 | 57 | |
| 8 | 2019 | 57 | |
| 9 | 2017 | 47 | |
| 10 | 2016 | 46 | |
| 11 | 2017 | 42 | |
| 12 | 2014 | 36 | |
| 13 | 2020 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2018 | 27 | |
| 17 | 2014 | 25 | |
| 18 | 2024 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2018 | 18 |
About Meng Liu
Meng Liu is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Cancer Research, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Bioinformatics and Genomic Networks (3 papers), Neuroendocrine regulation and behavior (2 papers), melanin and skin pigmentation (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Genetics (100 citations), Molecular Biology (679 citations), Biochemistry (57 citations), Cancer Research (121 citations) and Food Science (127 citations). Meng Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongchao Han, Yu Ma, Zhijian Li, Silafu Aibai, Qian Liu, Yi Jiang, Ze‐Kun Tao, Di Huang, Tengfei Wang and Siyi Zhang. Their work appears in journals such as Scientific Reports, PLoS ONE, Brain Research, OncoTargets and Therapy and EBioMedicine.
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.