Ivan Usov
Impact in
- Structural Biology top 2%
- Biomaterials top 1%
- Advanced Cellulose Research Studies
- Supramolecular Self-Assembly in Materials
Papers in
-
- Supramolecular Self-Assembly in Materials 4
- Advanced Cellulose Research Studies 2
-
- Protein Structure and Dynamics 5
- Co-authors
- Raffaele Mezzenga (11 shared papers)Jozef Adamčík (6 shared papers)Gustav Nyström (2 shared papers)Stephan Handschin (1 shared paper)Andreas Fall (1 shared paper)Christina Schütz (1 shared paper)Lennart Bergström (1 shared paper)Andreas Menzel (4 shared papers)
- Journals
- ACS Nano (3 papers)Nature Communications (2 papers)Faraday Discussions (1 paper)Acta Crystallographica Section A Foundations and Advances (1 paper)Biomacromolecules (1 paper)
- Partner nations
- SwitzerlandSwedenGermany
In The Last Decade
Ivan Usov
17 papers receiving 1.7k citations
Ivan Usov's Hit Papers
Peers
Comparison fields: 5 of 110
- Structural Biology 93
- Biomaterials 794
- Radiation 200
- Food Science 259
- Surfaces, Coatings and Films 79
Countries citing papers authored by Ivan Usov
This map shows the geographic impact of Ivan Usov'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 Ivan Usov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Usov more than expected).
Fields of papers citing papers by Ivan Usov
This network shows the impact of papers produced by Ivan Usov. 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 Ivan Usov. The network helps show where Ivan Usov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Usov, 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 | Understanding nanocellulose chirality and structure–properties relationship at the single fibril level Hit paper breakdown → | 2015 | 425 |
| 2 | 2015 | 271 | |
| 3 | 2012 | 174 | |
| 4 | 2013 | 133 | |
| 5 | 2013 | 120 | |
| 6 | 2016 | 114 | |
| 7 | 2020 | 104 | |
| 8 | 2018 | 82 | |
| 9 | 2015 | 57 | |
| 10 | 2013 | 57 | |
| 11 | 2017 | 56 | |
| 12 | 2014 | 50 | |
| 13 | 2011 | 29 | |
| 14 | 2012 | 22 | |
| 15 | 2015 | 7 | |
| 16 | 2017 | 2 | |
| 17 | 2024 | 1 |
About Ivan Usov
Ivan Usov is a scholar working on Biomaterials, Molecular Biology, Radiation, Materials Chemistry and Physiology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Advanced X-ray Imaging Techniques (5 papers), Alzheimer's disease research and treatments (4 papers), Supramolecular Self-Assembly in Materials (4 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Material Dynamics and Properties (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Advanced Cellulose Research Studies (2 papers). The work is most often cited by research in Structural Biology (93 citations), Biomaterials (794 citations), Radiation (200 citations), Food Science (259 citations) and Surfaces, Coatings and Films (79 citations). Ivan Usov has collaborated with scholars based in Switzerland, Sweden and Germany. Frequent co-authors include Raffaele Mezzenga, Jozef Adamčík, Gustav Nyström, Stephan Handschin, Andreas Fall, Christina Schütz, Lennart Bergström, Andreas Menzel, Manuel Guizar‐Sicairos and Sophia Jördens. Their work appears in journals such as ACS Nano, Nature Communications, Faraday Discussions, Acta Crystallographica Section A Foundations and Advances and Biomacromolecules.
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.