Una Nattermann
Impact in
- Structural Biology top 10%
- Ecology top 10%
- Bacteriophages and microbial interactions
Papers in
-
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 2
- Ecology 6
- Bacteriophages and microbial interactions 5
- Polar Research and Ecology 1
- Co-authors
- Neil P. King (5 shared papers)Yang Hsia (5 shared papers)David Baker (6 shared papers)Rashmi Ravichandran (2 shared papers)Jacob B. Bale (2 shared papers)William Sheffler (5 shared papers)Chunfu Xu (2 shared papers)Tamir Gonen (1 shared paper)
- Journals
- Nature (3 papers)Protein Science (1 paper)The Journal of Cell Biology (1 paper)Nature Communications (1 paper)Science (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Una Nattermann
8 papers receiving 702 citations
Una Nattermann's Hit Papers
Peers
Comparison fields: 5 of 78
- Structural Biology 26
- Ecology 254
- Biomaterials 104
- Molecular Biology 496
- Radiology, Nuclear Medicine and Imaging 122
Countries citing papers authored by Una Nattermann
This map shows the geographic impact of Una Nattermann'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 Una Nattermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Una Nattermann more than expected).
Fields of papers citing papers by Una Nattermann
This network shows the impact of papers produced by Una Nattermann. 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 Una Nattermann. The network helps show where Una Nattermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Una Nattermann, 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 | Design of a hyperstable 60-subunit protein icosahedron Hit paper breakdown → | 2016 | 334 |
| 2 | 2017 | 156 | |
| 3 | 2016 | 111 | |
| 4 | 2021 | 44 | |
| 5 | 2022 | 32 | |
| 6 | 2019 | 26 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2021 | 0 | |
| 10 | 2023 | 0 |
About Una Nattermann
Una Nattermann is a scholar working on Molecular Biology, Ecology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Structural Biology, having authored 10 papers that have together received 712 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Biocrusts and Microbial Ecology (1 paper), Enzyme Structure and Function (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Polar Research and Ecology (1 paper). The work is most often cited by research in Structural Biology (26 citations), Ecology (254 citations), Biomaterials (104 citations), Molecular Biology (496 citations) and Radiology, Nuclear Medicine and Imaging (122 citations). Una Nattermann has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Neil P. King, Yang Hsia, David Baker, Rashmi Ravichandran, Jacob B. Bale, William Sheffler, Chunfu Xu, Tamir Gonen, Shane Gonen and Po‐Ssu Huang. Their work appears in journals such as Nature, Protein Science, The Journal of Cell Biology, Nature Communications 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.