Eelke B. Lenselink

1.8k total citations
37 papers, 1.3k citations indexed

About

Eelke B. Lenselink is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eelke B. Lenselink has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eelke B. Lenselink's work include Receptor Mechanisms and Signaling (18 papers), Computational Drug Discovery Methods (12 papers) and Adenosine and Purinergic Signaling (10 papers). Eelke B. Lenselink is often cited by papers focused on Receptor Mechanisms and Signaling (18 papers), Computational Drug Discovery Methods (12 papers) and Adenosine and Purinergic Signaling (10 papers). Eelke B. Lenselink collaborates with scholars based in Netherlands, United States and United Kingdom. Eelke B. Lenselink's co-authors include Adriaan P. IJzerman, Gerard J. P. van Westen, Herman van Vlijmen, Laura H. Heitman, Brandon J. Bongers, Wojtek Kowalczyk, George Papadatos, Thijs Beuming, Woody Sherman and Julien Louvel and has published in prestigious journals such as Nature Communications, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Eelke B. Lenselink

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eelke B. Lenselink Netherlands 19 963 585 178 177 165 37 1.3k
Gerhard Heßler Germany 22 1.5k 1.6× 642 1.1× 193 1.1× 229 1.3× 456 2.8× 56 2.1k
Michelle L. Lamb United States 22 1.2k 1.3× 506 0.9× 156 0.9× 99 0.6× 453 2.7× 37 1.9k
Andreas Evers Germany 21 1.1k 1.2× 528 0.9× 102 0.6× 280 1.6× 170 1.0× 55 1.6k
Alexander Heifetz United Kingdom 21 1.1k 1.2× 563 1.0× 202 1.1× 224 1.3× 138 0.8× 45 1.5k
Stefan Senger United Kingdom 15 1.1k 1.1× 969 1.7× 307 1.7× 46 0.3× 373 2.3× 28 1.9k
Simone Sciabola United States 21 1.1k 1.1× 613 1.0× 230 1.3× 132 0.7× 240 1.5× 36 1.6k
Ann E. Cleves United States 19 1.7k 1.8× 368 0.6× 125 0.7× 81 0.5× 73 0.4× 37 2.2k
Davide Sabbadin Italy 16 881 0.9× 337 0.6× 150 0.8× 178 1.0× 119 0.7× 22 1.1k
Marcel Bermúdez Germany 21 915 1.0× 334 0.6× 108 0.6× 379 2.1× 162 1.0× 49 1.3k
Wolfgang Guba Switzerland 26 1.2k 1.3× 646 1.1× 195 1.1× 280 1.6× 504 3.1× 60 2.0k

Countries citing papers authored by Eelke B. Lenselink

Since Specialization
Citations

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

Fields of papers citing papers by Eelke B. Lenselink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eelke B. Lenselink. 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 Eelke B. Lenselink. The network helps show where Eelke B. Lenselink may publish in the future.

Co-authorship network of co-authors of Eelke B. Lenselink

This figure shows the co-authorship network connecting the top 25 collaborators of Eelke B. Lenselink. A scholar is included among the top collaborators of Eelke B. Lenselink 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 Eelke B. Lenselink. Eelke B. Lenselink 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
1.
Meijer, Erik, et al.. (2023). Large-Scale Modeling of Sparse Protein Kinase Activity Data. Journal of Chemical Information and Modeling. 63(12). 3688–3696. 7 indexed citations
2.
Chen, Wei, Steven V. Jerome, Mayako Michino, et al.. (2023). Enhancing Hit Discovery in Virtual Screening through Absolute Protein–Ligand Binding Free-Energy Calculations. Journal of Chemical Information and Modeling. 63(10). 3171–3185. 69 indexed citations
3.
Lenselink, Eelke B. & Pieter F. W. Stouten. (2021). Multitask machine learning models for predicting lipophilicity (logP) in the SAMPL7 challenge. Journal of Computer-Aided Molecular Design. 35(8). 901–909. 17 indexed citations
4.
Wel, Tom van der, Riet Hilhorst, Hans den Dulk, et al.. (2020). Chemical genetics strategy to profile kinase target engagement reveals role of FES in neutrophil phagocytosis. Nature Communications. 11(1). 3216–3216. 9 indexed citations
5.
Zacarı́as, Natalia V. Ortiz, et al.. (2019). Synthesis and Pharmacological Evaluation of Triazolopyrimidinone Derivatives as Noncompetitive, Intracellular Antagonists for CC Chemokine Receptors 2 and 5. Journal of Medicinal Chemistry. 62(24). 11035–11053. 13 indexed citations
6.
Wijdeven, Ruud H., Eelke B. Lenselink, Adriaan W. Tuin, et al.. (2019). Comprehensive structure-activity-relationship of azaindoles as highly potent FLT3 inhibitors. Bioorganic & Medicinal Chemistry. 27(5). 692–699. 6 indexed citations
7.
Yang, Xue, Jacobus P. D. van Veldhoven, Eelke B. Lenselink, et al.. (2019). Development of Covalent Ligands for G Protein-Coupled Receptors: A Case for the Human Adenosine A3 Receptor. Journal of Medicinal Chemistry. 62(7). 3539–3552. 38 indexed citations
8.
Janssen, Antonius P. A., Ruud H. Wijdeven, Eelke B. Lenselink, et al.. (2018). Drug Discovery Maps, a Machine Learning Model That Visualizes and Predicts Kinome–Inhibitor Interaction Landscapes. Journal of Chemical Information and Modeling. 59(3). 1221–1229. 54 indexed citations
9.
Xia, Lizi, Henk de Vries, Eelke B. Lenselink, et al.. (2017). Structure–Affinity Relationships and Structure–Kinetic Relationships of 1,2-Diarylimidazol-4-carboxamide Derivatives as Human Cannabinoid 1 Receptor Antagonists. Journal of Medicinal Chemistry. 60(23). 9545–9564. 6 indexed citations
10.
Xia, Lizi, Henk de Vries, Xue Yang, et al.. (2017). Kinetics of human cannabinoid 1 (CB1) receptor antagonists: Structure-kinetics relationships (SKR) and implications for insurmountable antagonism. Biochemical Pharmacology. 151. 166–179. 10 indexed citations
11.
Lenselink, Eelke B., Brandon J. Bongers, George Papadatos, et al.. (2017). Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. Journal of Cheminformatics. 9(1). 45–45. 216 indexed citations
12.
Alachouzos, Georgios, Eelke B. Lenselink, Thea Mulder‐Krieger, et al.. (2016). Synthesis and evaluation of N-substituted 2-amino-4,5-diarylpyrimidines as selective adenosine A1 receptor antagonists. European Journal of Medicinal Chemistry. 125. 586–602. 11 indexed citations
13.
Massink, Arnault, Julien Louvel, Gabrielle S. Dijksteel, et al.. (2016). 5′-Substituted Amiloride Derivatives as Allosteric Modulators Binding in the Sodium Ion Pocket of the Adenosine A2AReceptor. Journal of Medicinal Chemistry. 59(10). 4769–4777. 26 indexed citations
14.
Cappel, Daniel, Michelle Lynn Hall, Eelke B. Lenselink, et al.. (2016). Relative Binding Free Energy Calculations Applied to Protein Homology Models. Journal of Chemical Information and Modeling. 56(12). 2388–2400. 54 indexed citations
15.
Lenselink, Eelke B., Thijs Beuming, Arnault Massink, et al.. (2016). In search of novel ligands using a structure-based approach: a case study on the adenosine A2A receptor. Journal of Computer-Aided Molecular Design. 30(10). 863–874. 18 indexed citations
16.
Lenselink, Eelke B., et al.. (2015). Scanning mutagenesis in a yeast system delineates the role of the NPxxY(x) 5,6 F motif and helix 8 of the adenosine A 2B receptor in G protein coupling. Biochemical Pharmacology. 95(4). 290–300. 16 indexed citations
17.
Massink, Arnault, Hugo Gutiérrez‐de‐Terán, Eelke B. Lenselink, et al.. (2014). Sodium Ion Binding Pocket Mutations and Adenosine A2A Receptor Function. Molecular Pharmacology. 87(2). 305–313. 75 indexed citations
18.
Zweemer, Annelien J.M., Fabiana Miraglia, Eelke B. Lenselink, et al.. (2014). Discovery and Mapping of an Intracellular Antagonist Binding Site at the Chemokine Receptor CCR2. Molecular Pharmacology. 86(4). 358–368. 42 indexed citations
19.
Peeters, Miriam C., Qilan Li, Gerard J. P. van Westen, et al.. (2014). Domains for activation and inactivation in G protein-coupled receptors – A mutational analysis of constitutive activity of the adenosine A2B receptor. Biochemical Pharmacology. 92(2). 348–357. 9 indexed citations
20.
Peeters, Miriam C., et al.. (2014). A yeast screening method to decipher the interaction between the adenosine A2B receptor and the C-terminus of different G protein α-subunits. Purinergic Signalling. 10(3). 441–453. 15 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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