Zhihua Jiang
- Molecular Biology top 5%
- Genetics top 1%
- Animal Science and Zoology top 0.5%
- Cancer Research top 2%
- Physiology top 5%
- Co-authors
- Michael V. DodsonJennifer J. MichalXiang ZhouJohn P. GibsonMin DuC. T. GaskinsLifan ZhangZhiwu Zhang
- Topics
- Genetic and phenotypic traits in livestock (47 papers)Genetic Mapping and Diversity in Plants and Animals (38 papers)Adipose Tissue and Metabolism (36 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhihua Jiang
195 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.9k
- Genetics 1.8k
- Animal Science and Zoology 943
- Cancer Research 795
- Physiology 764
Countries citing papers authored by Zhihua Jiang
This map shows the geographic impact of Zhihua Jiang'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 Zhihua Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihua Jiang more than expected).
Fields of papers citing papers by Zhihua Jiang
This network shows the impact of papers produced by Zhihua Jiang. 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 Zhihua Jiang. The network helps show where Zhihua Jiang may publish in the future.
Co-authorship network of co-authors of Zhihua Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhihua Jiang. A scholar is included among the top collaborators of Zhihua Jiang 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 Zhihua Jiang. Zhihua Jiang 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 | 0 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 26 | |
| 9 | 9 | |
| 10 | 33 | |
| 11 | 2 | |
| 12 | 71 | |
| 13 | 13 | |
| 14 | 13 | |
| 15 | 14 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | Significant associations of stearoyl-CoA desaturase (SCD1) gene with fat deposition and composition in skeletal muscle | 11 |
| 19 | Comparative understanding of UTS2 and UTS2R genes for their involvement in type 2 diabetes mellitus | 7 |
| 20 | 282 |
About Zhihua Jiang
Zhihua Jiang is a scholar working on Genetics, Animal Science and Zoology and Cancer Research, having authored 203 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (47 papers), Genetic Mapping and Diversity in Plants and Animals (38 papers) and Adipose Tissue and Metabolism (36 papers). The work is most often cited by research in Animal Science and Zoology (943 citations), Genetics (1.8k citations) and Cancer Research (795 citations). Zhihua Jiang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Michael V. Dodson, Jennifer J. Michal, Jennifer J. Michal, Xiang Zhou, John P. Gibson, Min Du, C. T. Gaskins, Lifan Zhang, Zhiwu Zhang and Tyler F. Daniels. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.