Yang Hsia
Impact in
- Biomaterials top 5%
- Silk-based biomaterials and applications
- Supramolecular Self-Assembly in Materials
- Structural Biology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 7
- Protein Structure and Dynamics 6
- Biochemical and Structural Characterization 5
- Advanced biosensing and bioanalysis techniques 3
- Biomaterials 12
- Silk-based biomaterials and applications 11
- Co-authors
- Neil P. King (6 shared papers)David Baker (13 shared papers)Una Nattermann (5 shared papers)William Sheffler (7 shared papers)Craig Vierra (11 shared papers)Chunfu Xu (3 shared papers)Rashmi Ravichandran (2 shared papers)Tamir Gonen (1 shared paper)
- Journals
- Nature (4 papers)Journal of Visualized Experiments (4 papers)Biomacromolecules (3 papers)Proceedings of the National Academy of Sciences (3 papers)Science (2 papers)
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Yang Hsia
24 papers receiving 992 citations
Yang Hsia's Hit Papers
Peers
Comparison fields: 5 of 84
- Biomaterials 347
- Structural Biology 32
- Molecular Biology 650
- Microbiology 53
- Ecology 185
Countries citing papers authored by Yang Hsia
This map shows the geographic impact of Yang Hsia'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 Yang Hsia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Hsia more than expected).
Fields of papers citing papers by Yang Hsia
This network shows the impact of papers produced by Yang Hsia. 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 Yang Hsia. The network helps show where Yang Hsia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Hsia, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design of a hyperstable 60-subunit protein icosahedron Hit paper breakdown → | 2016 | 334 |
| 2 | 2016 | 111 | |
| 3 | 2010 | 59 | |
| 4 | 2018 | 51 | |
| 5 | 2011 | 49 | |
| 6 | 2021 | 44 | |
| 7 | 2012 | 40 | |
| 8 | 2022 | 38 | |
| 9 | De novo design of modular protein hydrogels with programmable intra- and extracellular viscoelasticity Hit paper breakdown → | 2024 | 36 |
| 10 | 2022 | 32 | |
| 11 | 2014 | 26 | |
| 12 | 2011 | 26 | |
| 13 | 2021 | 23 | |
| 14 | 2024 | 22 | |
| 15 | 2022 | 20 | |
| 16 | 2024 | 19 | |
| 17 | 2023 | 17 | |
| 18 | 2011 | 17 | |
| 19 | 2012 | 16 | |
| 20 | 2011 | 6 |
About Yang Hsia
Yang Hsia is a scholar working on Molecular Biology, Biomaterials, Ecology, Materials Chemistry and Insect Science, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (11 papers), RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (6 papers), Bacteriophages and microbial interactions (6 papers), Biochemical and Structural Characterization (5 papers), Enzyme Structure and Function (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Silkworms and Sericulture Research (3 papers). The work is most often cited by research in Biomaterials (347 citations), Structural Biology (32 citations), Molecular Biology (650 citations), Microbiology (53 citations) and Ecology (185 citations). Yang Hsia has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Neil P. King, David Baker, Una Nattermann, William Sheffler, Craig Vierra, Chunfu Xu, Rashmi Ravichandran, Tamir Gonen, Shane Gonen and Po‐Ssu Huang. Their work appears in journals such as Nature, Journal of Visualized Experiments, Biomacromolecules, Proceedings of the National Academy of Sciences 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.