Z. Wang
- Agronomy and Crop Science top 0.2%
- Ruminant Nutrition and Digestive Physiology 15
- Reproductive Physiology in Livestock 12
- Animal Science and Zoology top 0.5%
- Effects of Environmental Stressors on Livestock 10
- Animal Nutrition and Physiology 5
- Genetics top 0.5%
- Genetic and phenotypic traits in livestock 51
- Genetic Mapping and Diversity in Plants and Animals 29
- Small Animals top 2%
- Animal Behavior and Welfare Studies 5
- Cancer Research top 10%
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- Genetics and Plant Breeding 14
Z. Wang
76 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Agronomy and Crop Science 1.2k
- Animal Science and Zoology 1.0k
- Genetics 2.2k
- Small Animals 205
- Cancer Research 288
Countries citing papers authored by Z. Wang
This map shows the geographic impact of Z. Wang'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 Z. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Wang more than expected).
Fields of papers citing papers by Z. Wang
This network shows the impact of papers produced by Z. Wang. 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 Z. Wang. The network helps show where Z. Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Z. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2018 | 39 | |
| 10 | 2018 | 26 | |
| 11 | 2017 | 71 | |
| 12 | 2015 | 43 | |
| 13 | 2014 | 77 | |
| 14 | 2014 | 95 | |
| 15 | 2013 | 16 | |
| 16 | 2013 | 21 | |
| 17 | 2011 | 8 | |
| 18 | 2008 | 35 | |
| 19 | 2007 | 5 | |
| 20 | Relationships of feedlot feed efficiency, performance, and feeding behavior with metabolic rate, methane production, and energy partitioning in beef cattle1breakdown → | 2006 | 444 |
About Z. Wang
Z. Wang is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Process Chemistry and Technology and Small Animals, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (51 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers), Ruminant Nutrition and Digestive Physiology (15 papers), Genetics and Plant Breeding (14 papers), Reproductive Physiology in Livestock (12 papers), Effects of Environmental Stressors on Livestock (10 papers), Animal Nutrition and Physiology (5 papers) and Animal Behavior and Welfare Studies (5 papers). The work is most often cited by research in Agronomy and Crop Science (1.2k citations), Animal Science and Zoology (1.0k citations), Genetics (2.2k citations), Small Animals (205 citations) and Cancer Research (288 citations). Z. Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include S. S. Moore, J. A. Basarab, E. K. Okine, J. D. Nkrumah, Chengdao Li, M. A. Price, D. H. Crews, Brenda M. Murdoch, Graham Plastow and Katrina L. Schmid. Their work appears in journals such as Journal of Animal Science, Journal of Dairy Science, Livestock Science, Journal of Agricultural and Food Chemistry and Journal of Animal Breeding and Genetics.
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.