Fei X
Impact in
- Structural Biology top 5%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in ⓘ
-
- Animal Virus Infections Studies 3
- Co-authors
- Zihe Rao (5 shared papers)George H. Lorimer (4 shared papers)Mark Bartlam (4 shared papers)Qi Zhao (2 shared papers)Qi Chen (2 shared papers)Xuejun C. Zhang (2 shared papers)Xiaoyu Xue (1 shared paper)Robert T. Sauer (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Virology (4 papers)Protein & Cell (1 paper)Nature Communications (1 paper)Structure (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fei X
25 papers receiving 941 citations
Peers
Comparison fields: 5 of 83
- Structural Biology 45
- Infectious Diseases 405
- Computational Theory and Mathematics 248
- Animal Science and Zoology 147
- Molecular Biology 493
Countries citing papers authored by Fei X
This map shows the geographic impact of Fei X'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 X with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei X more than expected).
Fields of papers citing papers by Fei X
This network shows the impact of papers produced by Fei X. 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 X. The network helps show where Fei X may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei X, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 329 | |
| 2 | 2020 | 99 | |
| 3 | 2017 | 70 | |
| 4 | 2008 | 69 | |
| 5 | 2014 | 63 | |
| 6 | 2009 | 59 | |
| 7 | 2010 | 46 | |
| 8 | 2013 | 46 | |
| 9 | 2010 | 38 | |
| 10 | 2009 | 25 | |
| 11 | 2021 | 23 | |
| 12 | 2009 | 19 | |
| 13 | [Assessment of plantar fasciitis using shear wave elastography]. | 2014 | 12 |
| 14 | 2023 | 11 | |
| 15 | 2023 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2018 | 8 | |
| 18 | Hypoxic Tumor-Derived Exosomal Circ0048117 Facilitates M2 Macrophage Polarization Acting as miR-140 Sponge in Esophageal Squamous Cell Carcinoma | 2020 | 4 |
| 19 | 2023 | 3 | |
| 20 | 2009 | 2 |
About Fei X
Fei X is a scholar working on Structural Biology, Animal Science and Zoology, Infectious Diseases, Molecular Biology and Ophthalmology, having authored 28 papers that have together received 949 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (5 papers), Bacterial Genetics and Biotechnology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (3 papers), Bacteriophages and microbial interactions (3 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Structural Biology (45 citations), Infectious Diseases (405 citations), Computational Theory and Mathematics (248 citations), Animal Science and Zoology (147 citations) and Molecular Biology (493 citations). Fei X has collaborated with scholars based in China and United States. Frequent co-authors include Zihe Rao, George H. Lorimer, Mark Bartlam, Qi Zhao, Qi Chen, Xuejun C. Zhang, Xiaoyu Xue, Robert T. Sauer, Jun Li and Zhe Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Protein & Cell, Nature Communications and Structure.
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.