Enfa Yan
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology 12
- Meat and Animal Product Quality 6
- Rabbits: Nutrition, Reproduction, Health 3
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine 3
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- Curcumin's Biomedical Applications 3
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- Adipose Tissue and Metabolism 10
- Biochemical effects in animals 5
- Aquatic Science top 10%
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- Muscle Physiology and Disorders 4
- Co-authors
- Jingdong YinTian WangLili ZhangChao WangHongli HanKang ChengZhihua SongSimian Li
- Journals
- Journal of Animal Science and Biotechnology (3 papers)Frontiers in Nutrition (2 papers)Meat Science (2 papers)
- Partner nations
- ChinaSwitzerlandMalaysia
In The Last Decade
Enfa Yan
23 papers receiving 493 citations
Peers
Comparison fields: 5 of 86
- Animal Science and Zoology 189
- Geriatrics and Gerontology 26
- Molecular Medicine 26
- Physiology 132
- Aquatic Science 36
Countries citing papers authored by Enfa Yan
This map shows the geographic impact of Enfa Yan'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 Enfa Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enfa Yan more than expected).
Fields of papers citing papers by Enfa Yan
This network shows the impact of papers produced by Enfa Yan. 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 Enfa Yan. The network helps show where Enfa Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Enfa Yan, 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 | 2024 | 6 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 25 | |
| 10 | 2023 | 32 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 20 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 13 | |
| 15 | 2020 | 47 | |
| 16 | 2020 | 33 | |
| 17 | 2020 | 42 | |
| 18 | 2019 | 32 | |
| 19 | 2019 | 36 | |
| 20 | 2019 | 48 |
About Enfa Yan
Enfa Yan is a scholar working on Animal Science and Zoology, Geriatrics and Gerontology, Molecular Medicine, Physiology and Cell Biology, having authored 24 papers that have together received 496 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (12 papers), Adipose Tissue and Metabolism (10 papers), Meat and Animal Product Quality (6 papers), Biochemical effects in animals (5 papers), Muscle Physiology and Disorders (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Curcumin's Biomedical Applications (3 papers) and Rabbits: Nutrition, Reproduction, Health (3 papers). The work is most often cited by research in Animal Science and Zoology (189 citations), Geriatrics and Gerontology (26 citations), Molecular Medicine (26 citations), Physiology (132 citations) and Aquatic Science (36 citations). Enfa Yan has collaborated with scholars based in China, Switzerland and Malaysia. Frequent co-authors include Jingdong Yin, Tian Wang, Lili Zhang, Chao Wang, Hongli Han, Kang Cheng, Zhihua Song, Simian Li, Xin Zhang and Mouquan Shen. Their work appears in journals such as Journal of Animal Science and Biotechnology, Frontiers in Nutrition, Meat Science, Animal nutrition and Journal of Thermal Biology.
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.