Chaowu Yang
Impact in
- Animal Science and Zoology top 1%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Clinical Psychology top 5%
- COVID-19 and Mental Health
Papers in
-
- Circular RNAs in diseases 13
- Muscle Physiology and Disorders 9
- RNA Research and Splicing 6
-
- Animal Nutrition and Physiology 34
- Meat and Animal Product Quality 11
- Co-authors
- Xiaosong Jiang (48 shared papers)Chunlin Yu (57 shared papers)Jun Wang (1 shared paper)Yan Su (1 shared paper)T C Lien (1 shared paper)Ta‐Chen Su (1 shared paper)Jieyun Yin (1 shared paper)Shih‐Hung Tsai (1 shared paper)
- Journals
- Poultry Science (10 papers)Animals (5 papers)British Poultry Science (5 papers)Theriogenology (4 papers)Computers and Electronics in Agriculture (4 papers)
- Partner nations
- ChinaEstoniaUnited States
In The Last Decade
Chaowu Yang
104 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Animal Science and Zoology 447
- Clinical Psychology 304
- Cancer Research 193
- Biological Psychiatry 23
- Molecular Biology 487
Countries citing papers authored by Chaowu Yang
This map shows the geographic impact of Chaowu Yang'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 Chaowu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaowu Yang more than expected).
Fields of papers citing papers by Chaowu Yang
This network shows the impact of papers produced by Chaowu Yang. 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 Chaowu Yang. The network helps show where Chaowu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaowu Yang, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 374 | |
| 2 | 2016 | 65 | |
| 3 | 2022 | 59 | |
| 4 | 2019 | 55 | |
| 5 | 2019 | 48 | |
| 6 | 2022 | 43 | |
| 7 | 2021 | 43 | |
| 8 | 2022 | 37 | |
| 9 | 2014 | 35 | |
| 10 | 2019 | 35 | |
| 11 | 2022 | 33 | |
| 12 | 2021 | 30 | |
| 13 | 2021 | 28 | |
| 14 | 2019 | 27 | |
| 15 | 2021 | 27 | |
| 16 | 2022 | 24 | |
| 17 | 2022 | 22 | |
| 18 | 2018 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 1997 | 18 |
About Chaowu Yang
Chaowu Yang is a scholar working on Molecular Biology, Animal Science and Zoology, Cancer Research, Genetics and Physiology, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (34 papers), MicroRNA in disease regulation (21 papers), Cancer-related molecular mechanisms research (17 papers), Circular RNAs in diseases (13 papers), Meat and Animal Product Quality (11 papers), Genetic and phenotypic traits in livestock (10 papers), Muscle Physiology and Disorders (9 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Animal Science and Zoology (447 citations), Clinical Psychology (304 citations), Cancer Research (193 citations), Biological Psychiatry (23 citations) and Molecular Biology (487 citations). Chaowu Yang has collaborated with scholars based in China, Estonia and United States. Frequent co-authors include Xiaosong Jiang, Chunlin Yu, Jun Wang, Yan Su, T C Lien, Ta‐Chen Su, Jieyun Yin, Shih‐Hung Tsai, Yiping Liu and Huarui Du. Their work appears in journals such as Poultry Science, Animals, British Poultry Science, Theriogenology and Computers and Electronics in Agriculture.
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.