Shang‐Zhong Xu
- Sensory Systems top 0.1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Nutrition and Dietetics top 2%
- Physiology top 5%
- Topics
- Ion Channels and Receptors (27 papers)Neurobiology and Insect Physiology Research (10 papers)Genetic and phenotypic traits in livestock (10 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shang‐Zhong Xu
95 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 141
- Sensory Systems 1.9k
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 861
- Nutrition and Dietetics 484
- Physiology 415
Countries citing papers authored by Shang‐Zhong Xu
This map shows the geographic impact of Shang‐Zhong Xu'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 Shang‐Zhong Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang‐Zhong Xu more than expected).
Fields of papers citing papers by Shang‐Zhong Xu
This network shows the impact of papers produced by Shang‐Zhong Xu. 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 Shang‐Zhong Xu. The network helps show where Shang‐Zhong Xu may publish in the future.
Co-authorship network of co-authors of Shang‐Zhong Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Zhong Xu. A scholar is included among the top collaborators of Shang‐Zhong Xu 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 Shang‐Zhong Xu. Shang‐Zhong Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 62 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 36 | |
| 8 | Genetic polymorphisms of Mc4R and IGF2 gene association with feed conversion efficiency traits in beef cattle. | 8 |
| 9 | 27 | |
| 10 | Novel SNPs polymorphism of bovine CACNA2D1 gene and their association with somatic cell score | 8 |
| 11 | 3 | |
| 12 | 24 | |
| 13 | Genetic Polymorphism of TLR4 Gene and Correlation with Mastitis in Bovine | 1 |
| 14 | Study on the Polymorphism of UCP3 Gene and Its Correlation with Biochemical Index in Blood Serum in Bovine | 2 |
| 15 | 168 | |
| 16 | 58 | |
| 17 | Dissection of Heritability and Genetic Variance Components for Yield Traits in Tropical and Temperate Maize Populations | 2 |
| 18 | Phosphorus nutrient characteristics of different maize ({\sl Zeamays} L.) inbreds for tolerance to low--P stress | 2 |
| 19 | 107 | |
| 20 | Rhizoctonia spp associated with corn sheath blight in Hubei Province | 2 |
About Shang‐Zhong Xu
Shang‐Zhong Xu is a scholar working on Sensory Systems, Microbiology and Agronomy and Crop Science, having authored 98 papers that have together received 4.0k indexed citations. Recurring topics across this work include Ion Channels and Receptors (27 papers), Neurobiology and Insect Physiology Research (10 papers) and Genetic and phenotypic traits in livestock (10 papers). The work is most often cited by research in Sensory Systems (1.9k citations), Cellular and Molecular Neuroscience (861 citations) and Biochemistry (279 citations). Shang‐Zhong Xu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include David J. Beech, Damian McHugh, Fanning Zeng, Xue Gao, Bo Zeng, Junya Li, Guylain Boulay, R. Flemming, Stephen L. Atkin and Maria F. Gomez. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.
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.