Feifei Yang
Impact in
- Structural Biology top 10%
- Hepatology top 10%
- Hepatitis C virus research
Papers in
- Epidemiology 17
- Hepatitis B Virus Studies 13
- Liver Disease Diagnosis and Treatment 8
- Hepatology 12
- Hepatitis C virus research 9
- Co-authors
- Yijin Liu (7 shared papers)P. Pianetta (4 shared papers)Liwei Mi (3 shared papers)Weihua Chen (3 shared papers)Shizhong Cui (2 shared papers)Ziyu Wu (3 shared papers)Kailu Guo (1 shared paper)Joy C. Andrews (2 shared papers)
- Journals
- Scientific Reports (4 papers)Arabian Journal of Chemistry (3 papers)RSC Advances (3 papers)Emerging Microbes & Infections (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Feifei Yang
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 128
- Structural Biology 23
- Hepatology 112
- Electronic, Optical and Magnetic Materials 221
- Renewable Energy, Sustainability and the Environment 182
- Electrical and Electronic Engineering 447
Countries citing papers authored by Feifei Yang
This map shows the geographic impact of Feifei 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 Feifei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Yang more than expected).
Fields of papers citing papers by Feifei Yang
This network shows the impact of papers produced by Feifei 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 Feifei Yang. The network helps show where Feifei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 159 | |
| 2 | 2016 | 123 | |
| 3 | 2019 | 59 | |
| 4 | 2018 | 58 | |
| 5 | 2016 | 46 | |
| 6 | 2021 | 41 | |
| 7 | 2017 | 41 | |
| 8 | 2016 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2016 | 30 | |
| 12 | 2013 | 30 | |
| 13 | 2015 | 27 | |
| 14 | 2016 | 25 | |
| 15 | 2013 | 25 | |
| 16 | 2014 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2013 | 24 | |
| 19 | 2015 | 24 | |
| 20 | 2021 | 23 |
About Feifei Yang
Feifei Yang is a scholar working on Epidemiology, Hepatology, Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (13 papers), Hepatitis C virus research (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Advanced Photocatalysis Techniques (5 papers), Ginseng Biological Effects and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Traditional Chinese Medicine Analysis (4 papers) and ZnO doping and properties (3 papers). The work is most often cited by research in Structural Biology (23 citations), Hepatology (112 citations), Electronic, Optical and Magnetic Materials (221 citations), Renewable Energy, Sustainability and the Environment (182 citations) and Electrical and Electronic Engineering (447 citations). Feifei Yang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yijin Liu, P. Pianetta, Liwei Mi, Weihua Chen, Shizhong Cui, Ziyu Wu, Kailu Guo, Joy C. Andrews, Surendra K. Martha and Jagjit Nanda. Their work appears in journals such as Scientific Reports, Arabian Journal of Chemistry, RSC Advances, Emerging Microbes & Infections and PLoS ONE.
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.