Lodewijk V. Dekker

5.2k citations
72 papers · 4.0k indexed · 1 hit paper · h-index 34
Topics
Protein Kinase Regulation and GTPase Signaling (16 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers)Neuroscience and Neuropharmacology Research (12 papers)

In The Last Decade

Lodewijk V. Dekker

67 papers receiving 3.9k citations

Hit Papers

Protein kinase C - a question of specificity19942026200420151994250500750

Peers

Lodewijk V. Dekker
Comparison fields: 5 of 136
  • Molecular Biology 2.6k
  • Cellular and Molecular Neuroscience 934
  • Physiology 672
  • Cell Biology 642
  • Immunology 599
Replace Pann‐Ghill Suh with:
Pann‐Ghill Suh South Korea
Masahiko Hoshijima United States
Masato Hirata Japan
Thomas M. Wilkie United States
T. Voyno-Yasenetskaya United States
Guillermo Romero United States
Hideyuki Yamamoto Japan
Akihiro Mizutani Japan
Edward D. Lamperti United States
Jürgen Κ. Naggert United States
Lodewijk V. Dekker relative to Pann‐Ghill Suh South Korea Pann‐Ghill Suh's profile →
Citations per field
00.5×1.5×
Pann‐Ghill Suh · 1×
Citations per year

Countries citing papers authored by Lodewijk V. Dekker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Lodewijk V. Dekker

This figure shows the co-authorship network connecting the top 25 collaborators of Lodewijk V. Dekker. A scholar is included among the top collaborators of Lodewijk V. Dekker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lodewijk V. Dekker. Lodewijk V. Dekker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 16
4 13
5 46
6 54
7 12
8 38
9 118
10 63
11 46
12
An Improved Algorithm for Reconstruction of the Surface of the Human Body from 3D Scanner Data Using Local B-spline Patches
3
13 335
14 6
15 103
16 72
17
Intelligent Architecture: Desktop VR for Complex Strategic Design in Architecture and Planning
1
18 114
19 61
20 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) and Neuroscience and Neuropharmacology Research (12 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.

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