Beiyi Liu
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
- Animal Science and Zoology top 10%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
Papers in
-
- Ruminant Nutrition and Digestive Physiology 7
- Bioenergy crop production and management 2
-
- Food composition and properties 4
- Microbial Metabolites in Food Biotechnology 1
- Co-authors
- Nengxiang Xu (8 shared papers)Hailin Huan (3 shared papers)Hongru Gu (3 shared papers)Qin Shen (1 shared paper)Chenglong Ding (7 shared papers)Zhiqing Yang (1 shared paper)Yunhui Cheng (5 shared papers)Mudasir Nazar (5 shared papers)
- Journals
- Bioresource Technology (2 papers)International Journal of Biological Macromolecules (1 paper)Biological Trace Element Research (1 paper)Animal Bioscience (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Beiyi Liu
12 papers receiving 298 citations
Peers
Comparison fields: 5 of 48
- Agronomy and Crop Science 219
- Animal Science and Zoology 63
- Food Science 93
- Nutrition and Dietetics 70
- Soil Science 29
Countries citing papers authored by Beiyi Liu
This map shows the geographic impact of Beiyi Liu'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 Beiyi Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beiyi Liu more than expected).
Fields of papers citing papers by Beiyi Liu
This network shows the impact of papers produced by Beiyi Liu. 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 Beiyi Liu. The network helps show where Beiyi Liu may publish in the future.
Co-authors
The 21 scholars most cited alongside Beiyi Liu, 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 | 2018 | 206 | |
| 2 | 2019 | 31 | |
| 3 | 2020 | 28 | |
| 4 | 2017 | 8 | |
| 5 | 2025 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2025 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 2 | |
| 10 | Study on the change of the composition inside egg during incubation | 2008 | 1 |
| 11 | 2022 | 1 | |
| 12 | 2024 | 1 |
About Beiyi Liu
Beiyi Liu is a scholar working on Agronomy and Crop Science, Nutrition and Dietetics, Molecular Biology, Food Science and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 298 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (7 papers), Food composition and properties (4 papers), Bioenergy crop production and management (2 papers), Muscle metabolism and nutrition (1 paper), Glycosylation and Glycoproteins Research (1 paper), Galectins and Cancer Biology (1 paper), Microbial Metabolites in Food Biotechnology (1 paper) and Bee Products Chemical Analysis (1 paper). The work is most often cited by research in Agronomy and Crop Science (219 citations), Animal Science and Zoology (63 citations), Food Science (93 citations), Nutrition and Dietetics (70 citations) and Soil Science (29 citations). Beiyi Liu has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Nengxiang Xu, Hailin Huan, Hongru Gu, Qin Shen, Chenglong Ding, Zhiqing Yang, Yunhui Cheng, Mudasir Nazar, Wenjie Zhang and Siran Wang. Their work appears in journals such as Bioresource Technology, International Journal of Biological Macromolecules, Biological Trace Element Research, Animal Bioscience and Journal of Cellular and Molecular Medicine.
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.