H. Maarten Vinkers

923 total citations
9 papers, 307 citations indexed

About

H. Maarten Vinkers is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, H. Maarten Vinkers has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in H. Maarten Vinkers's work include Computational Drug Discovery Methods (6 papers), HIV/AIDS drug development and treatment (5 papers) and HIV Research and Treatment (3 papers). H. Maarten Vinkers is often cited by papers focused on Computational Drug Discovery Methods (6 papers), HIV/AIDS drug development and treatment (5 papers) and HIV Research and Treatment (3 papers). H. Maarten Vinkers collaborates with scholars based in Belgium, Netherlands and United States. H. Maarten Vinkers's co-authors include Marc R. de Jonge, Paul Lewi, Jan Heeres, Joop H. van Lenthe, Lucien M. H. Koymans, Henk Timmerman, Koen Van Aken, Frits Daeyaert, Paul A. J. Janssen and Beata Walczak and has published in prestigious journals such as Journal of Medicinal Chemistry, Talanta and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

H. Maarten Vinkers

9 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H. Maarten Vinkers Belgium 7 169 136 51 50 35 9 307
Ekaterina V. Gordeeva Russia 7 230 1.4× 85 0.6× 122 2.4× 46 0.9× 7 0.2× 14 319
Riccardo Concu Portugal 13 232 1.4× 276 2.0× 44 0.9× 106 2.1× 7 0.2× 28 519
Ekaterina Varlamova United States 9 261 1.5× 135 1.0× 112 2.2× 116 2.3× 28 0.8× 17 439
Sylvia Richard‐Bildstein Switzerland 10 96 0.6× 143 1.1× 101 2.0× 23 0.5× 30 0.9× 14 359
Fanny Bonachéra France 11 161 1.0× 183 1.3× 64 1.3× 120 2.4× 7 0.2× 18 396
Xiaoshan Huang China 11 125 0.7× 17 0.1× 25 0.5× 87 1.7× 11 0.3× 29 319
B. T. Fan China 8 187 1.1× 110 0.8× 56 1.1× 36 0.7× 9 0.3× 16 342
Benoît De Boeck Belgium 13 191 1.1× 234 1.7× 246 4.8× 81 1.6× 22 0.6× 19 724
Xuebin Qiao China 10 93 0.6× 117 0.9× 29 0.6× 155 3.1× 5 0.1× 23 407
Brian Mattioni United States 7 189 1.1× 87 0.6× 78 1.5× 86 1.7× 8 0.2× 13 323

Countries citing papers authored by H. Maarten Vinkers

Since Specialization
Citations

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

Fields of papers citing papers by H. Maarten Vinkers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Maarten Vinkers. 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 H. Maarten Vinkers. The network helps show where H. Maarten Vinkers may publish in the future.

Co-authorship network of co-authors of H. Maarten Vinkers

This figure shows the co-authorship network connecting the top 25 collaborators of H. Maarten Vinkers. A scholar is included among the top collaborators of H. Maarten Vinkers 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 H. Maarten Vinkers. H. Maarten Vinkers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Jonge, Marc R. de, H. Maarten Vinkers, Joop H. van Lenthe, et al.. (2007). Ab Initio potential grid based docking: From High Performance Computing to In Silico Screening. AIP conference proceedings. 940. 168–178. 3 indexed citations
2.
Daszykowski, M., I. Stanimirova, Beata Walczak, et al.. (2005). Improving QSAR models for the biological activity of HIV Reverse Transcriptase inhibitors: Aspects of outlier detection and uninformative variable elimination. Talanta. 68(1). 54–60. 19 indexed citations
3.
Jonge, Marc R. de, Lucien M. H. Koymans, H. Maarten Vinkers, et al.. (2005). Structure Based Activity Prediction of HIV-1 Reverse Transcriptase Inhibitors. Journal of Medicinal Chemistry. 48(6). 2176–2183. 23 indexed citations
4.
Xu, Qingsong, M. Daszykowski, Beata Walczak, et al.. (2004). Multivariate adaptive regression splines—studies of HIV reverse transcriptase inhibitors. Chemometrics and Intelligent Laboratory Systems. 72(1). 27–34. 46 indexed citations
5.
Daszykowski, M., Beata Walczak, Qingsong Xu, et al.. (2004). Classification and Regression TreesStudies of HIV Reverse Transcriptase Inhibitors. Journal of Chemical Information and Computer Sciences. 44(2). 716–726. 34 indexed citations
6.
Vinkers, H. Maarten, Marc R. de Jonge, Jan Heeres, et al.. (2003). Inhibition and substrate recognition – a computational approach applied to HIV protease. Journal of Computer-Aided Molecular Design. 17(9). 567–581. 10 indexed citations
7.
Press, BioChem, H. Maarten Vinkers, Marc R. de Jonge, et al.. (2003). Ligand-based Computation of HIV-1 Integrase Inhibition Strength within a Series of β-ketoamide Derivatives. 1 indexed citations
8.
Vinkers, H. Maarten, Marc R. de Jonge, Jan Heeres, et al.. (2003). SYNOPSIS:  SYNthesize and OPtimize System in Silico. Journal of Medicinal Chemistry. 46(13). 2765–2773. 148 indexed citations
9.
Groot, Marcel J. de, et al.. (1998). Ab initio calculations on iron-porphyrin model systems for intermediates in the oxidative cycle of cytochrome P450s. Journal of Computer-Aided Molecular Design. 12(2). 183–193. 23 indexed citations

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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