Ivan Usov

17 papers receiving 1.6k citations

Ivan Usov's Hit Papers

Understanding nanocellulose chirality and structure–properties relationship at the single fibril level 2015 · 402 citations
4020+3+7Years since publication100200300400

Peers

Ivan Usov
Comparison fields: 5 of 111
  • Structural Biology 86
  • Biomaterials 768
  • Radiation 184
  • Food Science 251
  • Surfaces, Coatings and Films 77
Replace Myung Chul Choi with:
Myung Chul Choi South Korea
Yukihiro Nishikawa Japan
Jonathan D. Nickels United States
Yifei Kong United States
Kersten Hahn Germany
Thorsten Auth Germany
Anupama Lakshmanan United States
Xingfei Zhou China
Thomas P. Burg Germany
R. Reichelt Germany
Ivan Usov relative to Myung Chul Choi South Korea Myung Chul Choi's profile →
Citations per field
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Myung Chul Choi · 1×
Citations per year

Countries citing papers authored by Ivan Usov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

17 of 17 papers shown
#Work
1
Understanding nanocellulose chirality and structure–properties relationship at the single fibril level
Hit paper breakdown →
2015402
2 2015257
3 2012168
4 2013127
5 2013115
6 2016101
7 202095
8 201877
9 201556
10 201354
11 201752
12 201448
13 201129
14 201222
15 20157
16 20172
17 20241

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 1.6k indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (5 papers), Protein Structure and Dynamics (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 Proteins in Food Systems (2 papers). The work is most often cited by research in Structural Biology (86 citations), Biomaterials (768 citations), Radiation (184 citations), Food Science (251 citations) and Surfaces, Coatings and Films (77 citations). Ivan Usov has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Raffaele Mezzenga, Jozef Adamčík, Gustav Nyström, Stephan Handschin, Christina Schütz, Andreas Fall, Lennart Bergström, Manuel Guizar‐Sicairos, Andreas Menzel and Sophia Jördens. Their work appears in journals such as ACS Nano, Nature Communications, Optics Express, Journal of Synchrotron Radiation and Macromolecules.

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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