Feng Yang
Impact in
- Plant Science top 5%
- Postharvest Quality and Shelf Life Management
- Plant Stress Responses and Tolerance
- Plant Physiology and Cultivation Studies
- Plant Molecular Biology Research
- Biochemistry top 10%
Papers in
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- Circular RNAs in diseases 6
-
- Postharvest Quality and Shelf Life Management 10
- Plant Physiology and Cultivation Studies 8
- Co-authors
- Kang‐Di Hu (12 shared papers)Hua Zhang (10 shared papers)Lan‐Ying Hu (8 shared papers)Zhong‐Qin Huang (8 shared papers)Gai‐Fang Yao (8 shared papers)Xiaoling Wu (1 shared paper)HU Jing-jiang (1 shared paper)Jianlong Li (1 shared paper)
- Journals
- Animals (5 papers)PLoS ONE (3 papers)BMC Genomics (3 papers)Journal of Agricultural and Food Chemistry (3 papers)Journal of Equine Veterinary Science (3 papers)
- Partner nations
- ChinaIndonesiaUnited Kingdom
In The Last Decade
Feng Yang
101 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 120
- Plant Science 719
- Biochemistry 74
- Equine 15
- Biochemistry 55
- Reproductive Medicine 69
Countries citing papers authored by Feng Yang
This map shows the geographic impact of Feng 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 Feng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yang more than expected).
Fields of papers citing papers by Feng Yang
This network shows the impact of papers produced by Feng 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 Feng Yang. The network helps show where Feng Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 107 | |
| 2 | 2009 | 101 | |
| 3 | 2008 | 86 | |
| 4 | 2018 | 62 | |
| 5 | 2011 | 60 | |
| 6 | 2020 | 58 | |
| 7 | 2021 | 51 | |
| 8 | 2020 | 47 | |
| 9 | 2016 | 46 | |
| 10 | 2017 | 43 | |
| 11 | 2021 | 39 | |
| 12 | 2018 | 39 | |
| 13 | 2008 | 34 | |
| 14 | 2017 | 33 | |
| 15 | 2020 | 28 | |
| 16 | 2019 | 27 | |
| 17 | 2021 | 25 | |
| 18 | 2015 | 24 | |
| 19 | 2021 | 23 | |
| 20 | 2022 | 23 |
About Feng Yang
Feng Yang is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Agronomy and Crop Science, having authored 107 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Cancer-related molecular mechanisms research (10 papers), Postharvest Quality and Shelf Life Management (10 papers), Plant Physiology and Cultivation Studies (8 papers), Reproductive Biology and Fertility (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), MicroRNA in disease regulation (6 papers) and Circular RNAs in diseases (6 papers). The work is most often cited by research in Plant Science (719 citations), Biochemistry (74 citations), Equine (15 citations), Biochemistry (55 citations) and Reproductive Medicine (69 citations). Feng Yang has collaborated with scholars based in China, Indonesia and United Kingdom. Frequent co-authors include Kang‐Di Hu, Hua Zhang, Lan‐Ying Hu, Zhong‐Qin Huang, Gai‐Fang Yao, Xiaoling Wu, HU Jing-jiang, Jianlong Li, Yurong Qian and Yanhong Li. Their work appears in journals such as Animals, PLoS ONE, BMC Genomics, Journal of Agricultural and Food Chemistry and Journal of Equine Veterinary Science.
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.