Una Nattermann

1.2k citations
10 papers · 685 indexed · 2 hit papers · h-index 7

Una Nattermann

8 papers receiving 676 citations

Hit Papers

Evolution of a designed protein assembly encapsulating it...1512016202620192022100200300

Peers

Una Nattermann
Comparison fields: 5 of 78
  • Structural Biology 25
  • Ecology 250
  • Biomaterials 102
  • Molecular Biology 488
  • Radiology, Nuclear Medicine and Imaging 120
Replace Dan E. McNamara with:
Dan E. McNamara United States
Yang Hsia United States
Rashmi Ravichandran United States
Yuxi Liu United States
Sujna Raval-Fernandes United States
Kimberly K. Fong United States
Breanna S. Vollmar United States
Fabio Parmeggiani United States
Pooja Sridhar United Kingdom
Raymond W. Bourdeau United States
Una Nattermann relative to Dan E. McNamara United States Dan E. McNamara's profile →
Citations per field
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Dan E. McNamara · 1×
Citations per year

Countries citing papers authored by Una Nattermann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Una Nattermann Line = papers co-authored together Una Nattermann links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20246
2 20243
3 20230
4 202230
5 202142
6 20210
7 201923
8
Evolution of a designed protein assembly encapsulating its own RNA genomebreakdown →
2017151
9 2016108
10
Design of a hyperstable 60-subunit protein icosahedronbreakdown →
2016322

About Una Nattermann

Una Nattermann is a scholar working on Structural Biology, Ecology, Cell Biology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 685 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), Microbial Community Ecology and Physiology (1 paper), Virus-based gene therapy research (1 paper) and Erythrocyte Function and Pathophysiology (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, Trisha N. Davis, Kimberly K. Fong and Po‐Ssu Huang. 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.

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