Arnout P. Kalverda
- Physiology top 5%
- Alzheimer's disease research and treatments 10
- Molecular Biology top 5%
- Protein Structure and Dynamics 24
- Prion Diseases and Protein Misfolding 4
- Photosynthetic Processes and Mechanisms 4
- RNA Research and Splicing 4
- Metabolomics and Mass Spectrometry Studies 3
- Cell Biology top 10%
- Spectroscopy top 5%
- Molecular spectroscopy and chirality 4
- Virology top 10%
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- Enzyme Structure and Function 12
- Co-authors
- Sheena E. RadfordSteve W. HomansGary S. ThompsonVictoria McParlandTheodoros K. KaramanosGerard W. CantersChi H. TrinhSimon E. V. Phillips
- Journals
- Journal of Molecular Biology (6 papers)Biochemistry (5 papers)Journal of the American Chemical Society (5 papers)
- Partner nations
- United KingdomNetherlandsJapan
In The Last Decade
Arnout P. Kalverda
52 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 110
- Physiology 668
- Molecular Biology 1.6k
- Cell Biology 208
- Spectroscopy 196
- Virology 54
Countries citing papers authored by Arnout P. Kalverda
This map shows the geographic impact of Arnout P. Kalverda'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 Arnout P. Kalverda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnout P. Kalverda more than expected).
Fields of papers citing papers by Arnout P. Kalverda
This network shows the impact of papers produced by Arnout P. Kalverda. 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 Arnout P. Kalverda. The network helps show where Arnout P. Kalverda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arnout P. Kalverda, 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 | 2025 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 5 | |
| 6 | 2019 | 44 | |
| 7 | 2016 | 19 | |
| 8 | 2015 | 88 | |
| 9 | 2015 | 29 | |
| 10 | 2014 | 6 | |
| 11 | 2013 | 48 | |
| 12 | NMR methods for structure-function investigation of membrane proteins and their ligands | 2012 | 0 |
| 13 | 2011 | 0 | |
| 14 | 2011 | 152 | |
| 15 | 2004 | 82 | |
| 16 | 2002 | 168 | |
| 17 | 1999 | 35 | |
| 18 | 1998 | 1 | |
| 19 | 1994 | 59 | |
| 20 | 1994 | 32 |
About Arnout P. Kalverda
Arnout P. Kalverda is a scholar working on Molecular Biology, Spectroscopy and Physiology, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (24 papers), Enzyme Structure and Function (12 papers), Alzheimer's disease research and treatments (10 papers), Prion Diseases and Protein Misfolding (4 papers), Photosynthetic Processes and Mechanisms (4 papers), RNA Research and Splicing (4 papers), Molecular spectroscopy and chirality (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Physiology (668 citations), Molecular Biology (1.6k citations) and Cell Biology (208 citations). Arnout P. Kalverda has collaborated with scholars based in United Kingdom, Netherlands and Japan. Frequent co-authors include Sheena E. Radford, Steve W. Homans, Gary S. Thompson, Victoria McParland, Theodoros K. Karamanos, Gerard W. Canters, Chi H. Trinh, Simon E. V. Phillips, Michael Hunter and A. B. D. Brown. Their work appears in journals such as Journal of Molecular Biology, Biochemistry, Journal of the American Chemical Society, Journal of Biomolecular NMR 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.