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
- Advanced biosensing and bioanalysis techniques 1
- Lipid Membrane Structure and Behavior 1
- 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)Jacob B. Bale (2 shared papers)Rashmi Ravichandran (2 shared papers)William Sheffler (5 shared papers)Chunfu Xu (2 shared papers)Shane Gonen (1 shared paper)
- Journals
- Nature (3 papers)The Journal of Cell Biology (1 paper)Protein Science (1 paper)Science (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Una Nattermann
8 papers receiving 676 citations
Una Nattermann's Hit Papers
Peers
Comparison fields: 5 of 78
- Structural Biology 25
- Ecology 250
- Biomaterials 102
- Molecular Biology 488
- Radiology, Nuclear Medicine and Imaging 120
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 | 322 |
| 2 | Evolution of a designed protein assembly encapsulating its own RNA genome Hit paper breakdown → | 2017 | 151 |
| 3 | 2016 | 108 | |
| 4 | 2021 | 42 | |
| 5 | 2022 | 30 | |
| 6 | 2019 | 23 | |
| 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 685 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Structure and Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Polar Research and Ecology (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Structural Biology (25 citations), Ecology (250 citations), Biomaterials (102 citations), Molecular Biology (488 citations) and Radiology, Nuclear Medicine and Imaging (120 citations). Una Nattermann has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Neil P. King, Yang Hsia, David Baker, Jacob B. Bale, Rashmi Ravichandran, William Sheffler, Chunfu Xu, Shane Gonen, Tamir Gonen and Trisha N. Davis. Their work appears in journals such as Nature, The Journal of Cell Biology, Protein Science, Science and Nature Communications.
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.