Feifei Yu
Impact in
- Pathology and Forensic Medicine top 10%
- Tea Polyphenols and Effects
- Alcohol Consumption and Health Effects
Papers in
-
- Sulfur Compounds in Biology 3
-
- Tea Polyphenols and Effects 2
- Co-authors
- Jia He (12 shared papers)Yuhao Zhou (5 shared papers)Yingyi Qin (5 shared papers)Xiaohua Li (1 shared paper)Linlu Zhao (4 shared papers)Fabiao Yu (5 shared papers)Yanlong Xing (4 shared papers)Xin Wei (3 shared papers)
- Journals
- Medicine (4 papers)PLoS ONE (4 papers)BMC Cancer (3 papers)Fish & Shellfish Immunology (2 papers)Journal of Biomedical Nanotechnology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feifei Yu
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 138
- Pathology and Forensic Medicine 172
- Biochemistry 32
- Rheumatology 74
- Oncology 119
- Pulmonary and Respiratory Medicine 142
Countries citing papers authored by Feifei Yu
This map shows the geographic impact of Feifei Yu'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 Feifei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Yu more than expected).
Fields of papers citing papers by Feifei Yu
This network shows the impact of papers produced by Feifei Yu. 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 Feifei Yu. The network helps show where Feifei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Yu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 172 | |
| 2 | 2016 | 139 | |
| 3 | 2014 | 136 | |
| 4 | 2013 | 125 | |
| 5 | 2018 | 86 | |
| 6 | 2016 | 78 | |
| 7 | 2020 | 63 | |
| 8 | 2019 | 61 | |
| 9 | 2020 | 50 | |
| 10 | 2016 | 40 | |
| 11 | 2014 | 39 | |
| 12 | 2016 | 37 | |
| 13 | 2014 | 37 | |
| 14 | 2016 | 36 | |
| 15 | 2020 | 35 | |
| 16 | 2014 | 34 | |
| 17 | 2014 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2024 | 21 | |
| 20 | 2024 | 21 |
About Feifei Yu
Feifei Yu is a scholar working on Biochemistry, Pathology and Forensic Medicine, Immunology, Molecular Biology and Endocrinology, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (3 papers), Molecular Sensors and Ion Detection (3 papers), Sulfur Compounds in Biology (3 papers), Invertebrate Immune Response Mechanisms (2 papers), Aquaculture disease management and microbiota (2 papers), Genomics and Chromatin Dynamics (2 papers), Tea Polyphenols and Effects (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (172 citations), Biochemistry (32 citations), Rheumatology (74 citations), Oncology (119 citations) and Pulmonary and Respiratory Medicine (142 citations). Feifei Yu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jia He, Yuhao Zhou, Yingyi Qin, Xiaohua Li, Linlu Zhao, Fabiao Yu, Yanlong Xing, Xin Wei, Zhiyong Wang and Chi Zhang. Their work appears in journals such as Medicine, PLoS ONE, BMC Cancer, Fish & Shellfish Immunology and Journal of Biomedical Nanotechnology.
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.