Sifa Dai
Impact in
- Animal Science and Zoology top 1%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Effects of Environmental Stressors on Livestock
- Rabbits: Nutrition, Reproduction, Health
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
Papers in
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- Animal Nutrition and Physiology 13
- Meat and Animal Product Quality 4
- Effects of Environmental Stressors on Livestock 3
- Rabbits: Nutrition, Reproduction, Health 3
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- GABA and Rice Research 2
- Co-authors
- Guanghong Zhou (4 shared papers)Feng Gao (3 shared papers)Shangxin Song (3 shared papers)Hong Hu (6 shared papers)Xu Xinglian (2 shared papers)Junkai Chen (1 shared paper)Yun Jiang (1 shared paper)Xi Bai (4 shared papers)
In The Last Decade
Sifa Dai
22 papers receiving 533 citations
Peers
Comparison fields: 5 of 73
- Animal Science and Zoology 378
- Aquatic Science 48
- Insect Science 40
- Nutrition and Dietetics 46
- Plant Science 117
Countries citing papers authored by Sifa Dai
This map shows the geographic impact of Sifa Dai'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 Sifa Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sifa Dai more than expected).
Fields of papers citing papers by Sifa Dai
This network shows the impact of papers produced by Sifa Dai. 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 Sifa Dai. The network helps show where Sifa Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Sifa Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 165 | |
| 2 | 2011 | 79 | |
| 3 | 2012 | 69 | |
| 4 | 2019 | 48 | |
| 5 | 2015 | 32 | |
| 6 | 2018 | 28 | |
| 7 | 2018 | 27 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2011 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2019 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 1 |
About Sifa Dai
Sifa Dai is a scholar working on Animal Science and Zoology, Plant Science, Physiology, Molecular Biology and Oncology, having authored 22 papers that have together received 556 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (13 papers), Meat and Animal Product Quality (4 papers), Effects of Environmental Stressors on Livestock (3 papers), Rabbits: Nutrition, Reproduction, Health (3 papers), Drug Transport and Resistance Mechanisms (2 papers), GABA and Rice Research (2 papers), Trace Elements in Health (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Animal Science and Zoology (378 citations), Aquatic Science (48 citations), Insect Science (40 citations), Nutrition and Dietetics (46 citations) and Plant Science (117 citations). Sifa Dai has collaborated with scholars based in China, Pakistan and Mexico. Frequent co-authors include Guanghong Zhou, Feng Gao, Shangxin Song, Hong Hu, Xu Xinglian, Junkai Chen, Yun Jiang, Xi Bai, Aiyou Wen and Jiaqi Li. Their work appears in journals such as British Poultry Science, The Journal of Agricultural Science, Animals, Biological Trace Element Research and Animal Feed Science and Technology.
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.