Fei Yang
Impact in
- Clinical Biochemistry top 5%
Papers in
-
- Epigenetics and DNA Methylation 4
- Protein Hydrolysis and Bioactive Peptides 4
- Immunology 10
- Co-authors
- Yunping Tang (9 shared papers)Ju Huang (3 shared papers)Su Jiang (4 shared papers)Quan Gong (5 shared papers)Lina Zhao (6 shared papers)Xiutang Zhang (7 shared papers)Hao Nie (4 shared papers)Yanhong Liu (2 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (3 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Agricultural and Food Chemistry (2 papers)International Journal of Biological Macromolecules (2 papers)PeerJ (2 papers)
- Partner nations
- ChinaNetherlandsAustralia
In The Last Decade
Fei Yang
75 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Clinical Biochemistry 70
- Process Chemistry and Technology 20
- Biomaterials 90
- Critical Care and Intensive Care Medicine 35
- Molecular Biology 442
Countries citing papers authored by Fei Yang
This map shows the geographic impact of Fei 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 Fei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yang more than expected).
Fields of papers citing papers by Fei Yang
This network shows the impact of papers produced by Fei 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 Fei Yang. The network helps show where Fei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2010 | 64 | |
| 3 | 2020 | 56 | |
| 4 | 2014 | 53 | |
| 5 | 2019 | 51 | |
| 6 | 2014 | 43 | |
| 7 | 2022 | 42 | |
| 8 | 2020 | 41 | |
| 9 | 2017 | 41 | |
| 10 | 2014 | 37 | |
| 11 | 2021 | 34 | |
| 12 | 2024 | 32 | |
| 13 | 2012 | 32 | |
| 14 | 2018 | 29 | |
| 15 | 2019 | 28 | |
| 16 | 2010 | 26 | |
| 17 | 2007 | 24 | |
| 18 | 2015 | 24 | |
| 19 | 2018 | 22 | |
| 20 | 2015 | 22 |
About Fei Yang
Fei Yang is a scholar working on Molecular Biology, Immunology, Epidemiology, Surgery and Clinical Biochemistry, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carbon dioxide utilization in catalysis (6 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers), Sepsis Diagnosis and Treatment (6 papers), Advanced Glycation End Products research (5 papers), Covalent Organic Framework Applications (4 papers), Epigenetics and DNA Methylation (4 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Clinical Biochemistry (70 citations), Process Chemistry and Technology (20 citations), Biomaterials (90 citations), Critical Care and Intensive Care Medicine (35 citations) and Molecular Biology (442 citations). Fei Yang has collaborated with scholars based in China, Netherlands and Australia. Frequent co-authors include Yunping Tang, Ju Huang, Su Jiang, Quan Gong, Lina Zhao, Xiutang Zhang, Hao Nie, Yanhong Liu, Mouming Zhao and Tongxun Liu. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Biochemical and Biophysical Research Communications, Journal of Agricultural and Food Chemistry, International Journal of Biological Macromolecules and PeerJ.
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.