Gui‐Ying Liang
- Aquatic Science top 0.2%
- Immunology top 5%
- Physiology top 1%
- Ecology top 10%
- Molecular Biology
- Topics
- Aquaculture Nutrition and Growth (25 papers)Aquaculture disease management and microbiota (13 papers)Reproductive biology and impacts on aquatic species (8 papers)
- Cited by
- Aquatic SciencePhysiologyImmunology
- Journals
- SHILAP Revista de lepidopterologíaAquacultureFish & Shellfish Immunology
- Partner nations
- ChinaUnited KingdomIsrael
In The Last Decade
Gui‐Ying Liang
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Aquatic Science 1.2k
- Immunology 864
- Physiology 228
- Ecology 210
- Molecular Biology 162
Countries citing papers authored by Gui‐Ying Liang
This map shows the geographic impact of Gui‐Ying Liang'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 Gui‐Ying Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui‐Ying Liang more than expected).
Fields of papers citing papers by Gui‐Ying Liang
This network shows the impact of papers produced by Gui‐Ying Liang. 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 Gui‐Ying Liang. The network helps show where Gui‐Ying Liang may publish in the future.
Co-authorship network of co-authors of Gui‐Ying Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Gui‐Ying Liang. A scholar is included among the top collaborators of Gui‐Ying Liang 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 Gui‐Ying Liang. Gui‐Ying Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 30 | |
| 4 | 94 | |
| 5 | 132 | |
| 6 | 86 | |
| 7 | 25 | |
| 8 | 193 | |
| 9 | 18 | |
| 10 | 71 | |
| 11 | 29 | |
| 12 | 11 | |
| 13 | 37 | |
| 14 | Effect of bile acids on growth and body composition of cobia (Rachycentron canadum) | 9 |
| 15 | 4 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | 104 | |
| 19 | The Effect of Small Peptides from Shrimp Waste in Diet on Growth Performance of Grass Carps Ctenopharyngodon idella | 2 |
| 20 | Effects of glucose and corn starch on growth and the fat deposition in the mesentery of grass carp. | 2 |
About Gui‐Ying Liang
Gui‐Ying Liang is a scholar working on Aquatic Science, Physiology and Immunology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (25 papers), Aquaculture disease management and microbiota (13 papers) and Reproductive biology and impacts on aquatic species (8 papers). The work is most often cited by research in Aquatic Science (1.2k citations), Physiology (228 citations) and Immunology (864 citations). Gui‐Ying Liang has collaborated with scholars based in China, United Kingdom and Israel. Frequent co-authors include Lixia Tian, Huijun Yang, Yongjian Liu, Shiwei Xie, Yan Jin, Yongjian Liu, Zhen‐Yu Du, Yongjun Chen, Donghui Xu and Jian Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Aquaculture and Fish & Shellfish Immunology.
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.