Lodewijk V. Dekker
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- Neuroscience and Neuropharmacology Research 12
- Sensory Systems top 2%
- Cell Biology top 2%
- Cellular transport and secretion 6
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 16
- Ion channel regulation and function 11
- S100 Proteins and Annexins 10
- Receptor Mechanisms and Signaling 10
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 12
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- Computational Drug Discovery Methods 7
- Co-authors
- Peter J. ParkerP.N.E. de GraanWillem Hendrik GispenAnthony W. SegalD.H.G. VersteegA.B. OestreicherPaolo CesareAlessandro Sardini
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Lodewijk V. Dekker
67 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cellular and Molecular Neuroscience 934
- Sensory Systems 228
- Cell Biology 642
- Molecular Biology 2.6k
- Immunology 599
Countries citing papers authored by Lodewijk V. Dekker
This map shows the geographic impact of Lodewijk V. Dekker'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 Lodewijk V. Dekker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lodewijk V. Dekker more than expected).
Fields of papers citing papers by Lodewijk V. Dekker
This network shows the impact of papers produced by Lodewijk V. Dekker. 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 Lodewijk V. Dekker. The network helps show where Lodewijk V. Dekker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lodewijk V. Dekker, 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 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2019 | 16 | |
| 4 | 2016 | 13 | |
| 5 | 2013 | 46 | |
| 6 | 2011 | 54 | |
| 7 | 2010 | 12 | |
| 8 | 2004 | 38 | |
| 9 | 2003 | 118 | |
| 10 | 2001 | 63 | |
| 11 | 2000 | 46 | |
| 12 | An Improved Algorithm for Reconstruction of the Surface of the Human Body from 3D Scanner Data Using Local B-spline Patches | 1999 | 3 |
| 13 | 1999 | 335 | |
| 14 | 1998 | 6 | |
| 15 | 1998 | 103 | |
| 16 | 1997 | 72 | |
| 17 | Intelligent Architecture: Desktop VR for Complex Strategic Design in Architecture and Planning | 1995 | 1 |
| 18 | 1995 | 114 | |
| 19 | 1990 | 61 | |
| 20 | 1988 | 17 |
About Lodewijk V. Dekker
Lodewijk V. Dekker is a scholar working on Immunology and Allergy, Molecular Biology and Cellular and Molecular Neuroscience, having authored 72 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (16 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (11 papers), S100 Proteins and Annexins (10 papers), Receptor Mechanisms and Signaling (10 papers), Computational Drug Discovery Methods (7 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (934 citations), Sensory Systems (228 citations) and Cell Biology (642 citations). Lodewijk V. Dekker has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Peter J. Parker, P.N.E. de Graan, Willem Hendrik Gispen, Anthony W. Segal, D.H.G. Versteeg, A.B. Oestreicher, Paolo Cesare, Alessandro Sardini, Peter A. McNaughton and Ruth H. Palmer. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.