Xin Zhao
- Agronomy and Crop Science top 0.05%
- Molecular Biology top 2%
- Animal Science and Zoology top 0.1%
- Food Science top 0.2%
- Genetics top 0.5%
- Co-authors
- P. LacasseMax PaapeEveline M. Ibeagha‐AwemuB. BaurhooDouglas D. BannermanJai‐Wei LeeWeili WuWei Zhang
- Topics
- Milk Quality and Mastitis in Dairy Cows (42 papers)Probiotics and Fermented Foods (35 papers)Genetic and phenotypic traits in livestock (32 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Xin Zhao
318 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Agronomy and Crop Science 3.5k
- Molecular Biology 3.4k
- Animal Science and Zoology 2.2k
- Food Science 2.2k
- Genetics 2.0k
Countries citing papers authored by Xin Zhao
This map shows the geographic impact of Xin Zhao'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 Xin Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Zhao more than expected).
Fields of papers citing papers by Xin Zhao
This network shows the impact of papers produced by Xin Zhao. 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 Xin Zhao. The network helps show where Xin Zhao may publish in the future.
Co-authorship network of co-authors of Xin Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Zhao. A scholar is included among the top collaborators of Xin Zhao 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 Xin Zhao. Xin Zhao 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 | 2 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 23 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 12 | |
| 17 | Recommended psychological crisis intervention response to the 2019 novel coronavirus pneumonia outbreak in China: a model of West China Hospitalbreakdown → | 402 |
| 18 | 61 | |
| 19 | 8 | |
| 20 | 29 |
About Xin Zhao
Xin Zhao is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Microbiology, having authored 328 papers that have together received 11.1k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (42 papers), Probiotics and Fermented Foods (35 papers) and Genetic and phenotypic traits in livestock (32 papers). The work is most often cited by research in Agronomy and Crop Science (3.5k citations), Animal Science and Zoology (2.2k citations) and Microbiology (762 citations). Xin Zhao has collaborated with scholars based in Canada, China and United States. Frequent co-authors include P. Lacasse, Max Paape, Eveline M. Ibeagha‐Awemu, B. Baurhoo, Douglas D. Bannerman, Jai‐Wei Lee, Weili Wu, Wei Zhang, A. F. Mustafa and Aloysius E. Ibeagha. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.