Lodewijk V. Dekker

5.2k citations
72 papers · 4.0k indexed · 1 hit paper · h-index 34

Lodewijk V. Dekker

67 papers receiving 3.9k citations

Hit Papers

Protein kinase C - a question of specificity8441994202620042015250500750

Peers

Lodewijk V. Dekker
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 934
  • Sensory Systems 228
  • Cell Biology 642
  • Molecular Biology 2.6k
  • 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

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.

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 201916
4 201613
5 201346
6 201154
7 201012
8 200438
9 2003118
10 200163
11 200046
12
An Improved Algorithm for Reconstruction of the Surface of the Human Body from 3D Scanner Data Using Local B-spline Patches
19993
13 1999335
14 19986
15 1998103
16 199772
17
Intelligent Architecture: Desktop VR for Complex Strategic Design in Architecture and Planning
19951
18 1995114
19 199061
20 198817

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.

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