Olve B. Peersen

57 papers receiving 3.8k citations

Olve B. Peersen's Hit Papers

Variable-Amplitude Cross-Polarization MAS NMR 1993 · 370 citations
3700+11+22Years since publication100200300

Peers

Olve B. Peersen
Comparison fields: 5 of 116
  • Infectious Diseases 850
  • Spectroscopy 430
  • Animal Science and Zoology 160
  • Molecular Biology 1.1k
  • Materials Chemistry 565
Replace Joost Snijder with:
Joost Snijder Netherlands
Gerrit Vriend Netherlands
Sonia Longhi France
Louis E. Henderson United States
Jaume Torres Singapore
Isaiah Tuvia Arkin Israel
Di Xia United States
Neil A. Ranson United Kingdom
Bettina Böttcher Germany
Derek T. Logan Sweden
Olve B. Peersen relative to Joost Snijder Netherlands Joost Snijder's profile →
Citations per field
00.5×2×3×3.9×
Joost Snijder · 1×
Citations per year

Countries citing papers authored by Olve B. Peersen

Since Specialization
Citations

This map shows the geographic impact of Olve B. Peersen'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 Olve B. Peersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olve B. Peersen more than expected).

Fields of papers citing papers by Olve B. Peersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olve B. Peersen. 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 Olve B. Peersen. The network helps show where Olve B. Peersen may publish in the future.

Co-authors

The 25 scholars most cited alongside Olve B. Peersen, 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 Olve B. Peersen Line = papers co-authored together Olve B. Peersen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Variable-Amplitude Cross-Polarization MAS NMR
Hit paper breakdown →
1993370
2 1994326
3 2010271
4 2020258
5 2020236
6 2004210
7 2016140
8 1997136
9 2012123
10 1994102
11 202196
12 201490
13 200882
14 199279
15 201776
16 200474
17 200270
18 201767
19 201366
20 200659

About Olve B. Peersen

Olve B. Peersen is a scholar working on Materials Chemistry, Spectroscopy, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 3.9k indexed citations. Recurring topics across this work include Enzyme Structure and Function (19 papers), Protein Structure and Dynamics (13 papers), Evolution and Genetic Dynamics (12 papers), Advanced NMR Techniques and Applications (9 papers), Viral Infections and Immunology Research (9 papers), Virology and Viral Diseases (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Infectious Diseases (850 citations), Spectroscopy (430 citations), Animal Science and Zoology (160 citations), Molecular Biology (1.1k citations) and Materials Chemistry (565 citations). Olve B. Peersen has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Steven O. Smith, Peng Gong, Aaron A. Thompson, Joseph J. Falke, Xiaoling Wu, I. M. Kustanovich, Grace Campagnola, Steven K. Drake, Marco Vignuzzi and Bruno Canard. Their work appears in journals such as Journal of Virology, Journal of Molecular Biology, Biochemistry, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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