Song Liu
- Biotechnology top 1%
- Enzyme Production and Characterization 23
- Molecular Biology top 10%
- Enzyme Catalysis and Immobilization 18
- Microbial Metabolic Engineering and Bioproduction 12
- Protein purification and stability 9
- RNA and protein synthesis mechanisms 8
- Paleontology top 10%
- Food Science top 5%
- Biochemistry top 10%
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- Blood properties and coagulation 14
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- Biofuel production and bioconversion 12
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- Bacterial Genetics and Biotechnology 9
- Co-authors
- Guocheng DuJingwen ZhouShengqi RaoJianghua LiJian ChenPengcheng LiXinglong WangWeizhu Zeng
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)Journal of Hazardous Materials (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Song Liu
102 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Biotechnology 387
- Molecular Biology 1.0k
- Paleontology 91
- Food Science 177
- Biochemistry 54
Countries citing papers authored by Song Liu
This map shows the geographic impact of Song 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 Song Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Liu more than expected).
Fields of papers citing papers by Song Liu
This network shows the impact of papers produced by Song 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 Song Liu. The network helps show where Song Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 1 | |
| 12 | Characterization and expression optimization of lipoxygenase from bacteria | 2020 | 1 |
| 13 | 2020 | 22 | |
| 14 | Effects of dietary Enterococcus faecalis on performance, egg quality, lipid metabolism and intestinal microflora numbers of laying hens. | 2017 | 1 |
| 15 | 2016 | 38 | |
| 16 | Biological Activities Analysis of the Nematocyst Venom from Jellyfish Stomolophus meleagris | 2012 | 1 |
| 17 | 2011 | 35 | |
| 18 | Analysis of amino acids compositions and contents in three different parts of jellyfish(Rhopilema esculentum Kishinouye) | 2007 | 2 |
| 19 | 2006 | 20 | |
| 20 | 2005 | 51 |
About Song Liu
Song Liu is a scholar working on Biotechnology, Paleontology and Molecular Biology, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (23 papers), Enzyme Catalysis and Immobilization (18 papers), Blood properties and coagulation (14 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (12 papers), Protein purification and stability (9 papers), Bacterial Genetics and Biotechnology (9 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Biotechnology (387 citations), Molecular Biology (1.0k citations) and Paleontology (91 citations). Song Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guocheng Du, Jingwen Zhou, Shengqi Rao, Jianghua Li, Jian Chen, Pengcheng Li, Xinglong Wang, Weizhu Zeng, Jian Chen and Huahua Yu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.
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.