Chao-Liang Liu
- Molecular Biology
- Insect Science top 2%
- Genetics top 10%
- Immunology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Baojian ZhuLi‐Shang DaiGuoqing WeiQiu‐Ning LiuCen QianYu SunYuxuan SunLei Wang
- Topics
- Invertebrate Immune Response Mechanisms (23 papers)Neurobiology and Insect Physiology Research (16 papers)Insect Resistance and Genetics (13 papers)
- Cited by
- Insect ScienceImmunologyGenetics
- Journals
- PLoS ONEScientific ReportsGene
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Chao-Liang Liu
55 papers receiving 852 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 499
- Insect Science 329
- Genetics 313
- Immunology 266
- Cellular and Molecular Neuroscience 144
Countries citing papers authored by Chao-Liang Liu
This map shows the geographic impact of Chao-Liang 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 Chao-Liang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Liang Liu more than expected).
Fields of papers citing papers by Chao-Liang Liu
This network shows the impact of papers produced by Chao-Liang 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 Chao-Liang Liu. The network helps show where Chao-Liang Liu may publish in the future.
Co-authorship network of co-authors of Chao-Liang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Chao-Liang Liu. A scholar is included among the top collaborators of Chao-Liang Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chao-Liang Liu. Chao-Liang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 32 | |
| 7 | 27 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 33 | |
| 12 | Cloning, expression and analysis of a novel defense gene from Antheraea pernyi. | 1 |
| 13 | 21 | |
| 14 | Characterization and function of a gene Pc 14-3-3 isoform from red crayfish, Procambarus clarkii. | 6 |
| 15 | 41 | |
| 16 | Characterization of a female-specific protein from the wild silkworm Actias selene | 1 |
| 17 | 46 | |
| 18 | Characterization of vitellogenin receptor (VgR) from the Chinese oak silkworm, Antheraea pernyi. | 11 |
| 19 | Cloning and Expression Analysis of Ribosomal Protein S3a Gene from Antheraea pernyi | 1 |
| 20 | Analysis of the Primary Structure of Vitellogenins in Eri-silkworm ( Philosamia Cynthia Ricini ) | 3 |
About Chao-Liang Liu
Chao-Liang Liu is a scholar working on Insect Science, Immunology and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 871 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (23 papers), Neurobiology and Insect Physiology Research (16 papers) and Insect Resistance and Genetics (13 papers). The work is most often cited by research in Insect Science (329 citations), Immunology (266 citations) and Genetics (313 citations). Chao-Liang Liu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Baojian Zhu, Li‐Shang Dai, Guoqing Wei, Qiu‐Ning Liu, Cen Qian, Yu Sun, Yuxuan Sun, Lei Wang, Muhammad Nadeem Abbas and Saima Kausar. Their work appears in journals such as PLoS ONE, Scientific Reports and Gene.
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.