Y.M. Wang
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
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- Ruminant Nutrition and Digestive Physiology 2
- Reproductive Physiology in Livestock 2
- Milk Quality and Mastitis in Dairy Cows 1
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- Ginseng Biological Effects and Applications 1
- Co-authors
- Christian Pifl (1 shared paper)Scott R. Suter (1 shared paper)Marc G. Caron (1 shared paper)Bruno Giros (1 shared paper)Jianxin Liu (3 shared papers)Zhili Yang (1 shared paper)T. Yan (1 shared paper)Hongyun Liu (1 shared paper)
- Journals
- Journal of Dairy Science (4 papers)Journal of Biological Chemistry (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Y.M. Wang
6 papers receiving 454 citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 125
- Cellular and Molecular Neuroscience 220
- Animal Science and Zoology 43
- Developmental Neuroscience 15
- Anesthesiology and Pain Medicine 20
Countries citing papers authored by Y.M. Wang
This map shows the geographic impact of Y.M. 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 Y.M. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.M. Wang more than expected).
Fields of papers citing papers by Y.M. Wang
This network shows the impact of papers produced by Y.M. 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 Y.M. Wang. The network helps show where Y.M. Wang may publish in the future.
Co-authors
The 20 scholars most cited alongside Y.M. 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 | 1994 | 280 | |
| 2 | 2010 | 114 | |
| 3 | 2011 | 43 | |
| 4 | 2010 | 27 | |
| 5 | 2019 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 |
About Y.M. Wang
Y.M. Wang is a scholar working on Agronomy and Crop Science, Molecular Biology, Nutrition and Dietetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 7 papers that have together received 474 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (2 papers), Reproductive Physiology in Livestock (2 papers), Fatty Acid Research and Health (2 papers), Milk Quality and Mastitis in Dairy Cows (1 paper), Ginseng Biological Effects and Applications (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), Topic Modeling (1 paper) and Optimal Power Flow Distribution (1 paper). The work is most often cited by research in Agronomy and Crop Science (125 citations), Cellular and Molecular Neuroscience (220 citations), Animal Science and Zoology (43 citations), Developmental Neuroscience (15 citations) and Anesthesiology and Pain Medicine (20 citations). Y.M. Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Christian Pifl, Scott R. Suter, Marc G. Caron, Bruno Giros, Jianxin Liu, Zhili Yang, T. Yan, Hongyun Liu, Hongcui Cao and M. Vázquez-Añón. Their work appears in journals such as Journal of Dairy Science, Journal of Biological Chemistry and arXiv (Cornell University).
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.