Che Yang
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
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- Transgenic Plants and Applications
Papers in
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- Monoclonal and Polyclonal Antibodies Research 3
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- Nanoparticle-Based Drug Delivery 3
- Co-authors
- Stéphane Rosset (6 shared papers)Bruno E. Correia (8 shared papers)Fabian Sesterhenn (4 shared papers)Jaume Bonet (4 shared papers)Jen-Jie Chieh (3 shared papers)Sandrine Georgeon (3 shared papers)Thomas Krey (2 shared papers)Kai‐Wen Huang (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Applied Physics Letters (1 paper)Protein Science (1 paper)Annals of Translational Medicine (1 paper)Science (1 paper)
- Partner nations
- SwitzerlandUnited StatesTaiwan
In The Last Decade
Che Yang
15 papers receiving 461 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 278
- Biotechnology 28
- Radiology, Nuclear Medicine and Imaging 65
- Infectious Diseases 46
- Virology 10
Countries citing papers authored by Che Yang
This map shows the geographic impact of Che 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 Che Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che Yang more than expected).
Fields of papers citing papers by Che Yang
This network shows the impact of papers produced by Che 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 Che Yang. The network helps show where Che Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Che 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2021 | 70 | |
| 3 | 2014 | 62 | |
| 4 | 2019 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 26 | |
| 7 | 2021 | 26 | |
| 8 | 2022 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2014 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2013 | 7 | |
| 13 | 2012 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2020 | 1 | |
| 16 | 2026 | 0 |
About Che Yang
Che Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomaterials, Molecular Biology, Cancer Research and Immunology, having authored 16 papers that have together received 467 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Protein Structure and Dynamics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), vaccines and immunoinformatics approaches (2 papers), Respiratory viral infections research (2 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Molecular Biology (278 citations), Biotechnology (28 citations), Radiology, Nuclear Medicine and Imaging (65 citations), Infectious Diseases (46 citations) and Virology (10 citations). Che Yang has collaborated with scholars based in Switzerland, United States and Taiwan. Frequent co-authors include Stéphane Rosset, Bruno E. Correia, Fabian Sesterhenn, Jaume Bonet, Jen-Jie Chieh, Sandrine Georgeon, Thomas Krey, Kai‐Wen Huang, Leo Scheller and Chin‐Chung Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters, Protein Science, Annals of Translational Medicine and 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.