Jonas Verhoeven

541 total citations
23 papers, 326 citations indexed

About

Jonas Verhoeven is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Jonas Verhoeven has authored 23 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Jonas Verhoeven's work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (7 papers) and Cancer-related gene regulation (4 papers). Jonas Verhoeven is often cited by papers focused on Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (7 papers) and Cancer-related gene regulation (4 papers). Jonas Verhoeven collaborates with scholars based in Belgium, Netherlands and United States. Jonas Verhoeven's co-authors include J.M. Thijssen, Jörg K. Wegner, Natalia Dyubankova, Hugo Ceulemans, Marwin Segler, Günter Klambauer, Theo E. Schouten, Ramil Nugmanov, Philipp Renz and Philipp Seidl and has published in prestigious journals such as The Journal of Organic Chemistry, Chemistry - A European Journal and Organic Letters.

In The Last Decade

Jonas Verhoeven

22 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Verhoeven Belgium 11 111 95 87 83 80 23 326
Qing Ye China 10 62 0.6× 182 1.9× 195 2.2× 57 0.7× 26 0.3× 45 448
Jannis Born Switzerland 15 166 1.5× 272 2.9× 316 3.6× 41 0.5× 25 0.3× 25 744
Yuanping Zhang China 13 37 0.3× 190 2.0× 34 0.4× 9 0.1× 33 0.4× 43 483
Shoichi Ishida Japan 9 132 1.2× 141 1.5× 162 1.9× 29 0.3× 11 0.1× 23 339
Tuan Le Germany 7 47 0.4× 67 0.7× 40 0.5× 12 0.1× 10 0.1× 11 161
Kuzma Khrabrov United States 2 287 2.6× 420 4.4× 328 3.8× 32 0.4× 30 0.4× 4 605
Łukasz Maziarka Poland 5 117 1.1× 147 1.5× 105 1.2× 16 0.2× 17 0.2× 11 213
Xiran Wang China 7 141 1.3× 57 0.6× 16 0.2× 19 0.2× 37 0.5× 30 284
Andrew Davis United Kingdom 12 269 2.4× 46 0.5× 43 0.5× 55 0.7× 8 0.1× 45 474
Zan Armstrong United States 6 31 0.3× 18 0.2× 118 1.4× 51 0.6× 43 0.5× 8 281

Countries citing papers authored by Jonas Verhoeven

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Verhoeven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas Verhoeven. 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 Jonas Verhoeven. The network helps show where Jonas Verhoeven may publish in the future.

Co-authorship network of co-authors of Jonas Verhoeven

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Verhoeven. A scholar is included among the top collaborators of Jonas Verhoeven 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 Jonas Verhoeven. Jonas Verhoeven 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.
Verhoeven, Jonas, et al.. (2025). Improving route development using convergent retrosynthesis planning. Journal of Cheminformatics. 17(1). 26–26. 2 indexed citations
2.
Genheden, Samuel, et al.. (2024). Models Matter: the impact of single-step retrosynthesis on synthesis planning. Digital Discovery. 3(3). 558–572. 16 indexed citations
3.
Sandonas, Leonardo Medrano, Dries Van Rompaey, David F. Hahn, et al.. (2024). Dataset for quantum-mechanical exploration of conformers and solvent effects in large drug-like molecules. Scientific Data. 11(1). 742–742. 17 indexed citations
4.
McClure, Kelly J., Jonas Verhoeven, Natalia Dyubankova, et al.. (2023). Global reactivity models are impactful in industrial synthesis applications. Journal of Cheminformatics. 15(1). 20–20. 10 indexed citations
5.
Seidl, Philipp, Philipp Renz, Natalia Dyubankova, et al.. (2021). Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction.. arXiv (Cornell University). 1 indexed citations
6.
Verhoeven, Jonas, Wenbin Wang, Vineet Pande, et al.. (2021). Preparation of Novel 4′-Spirocyclopropyl Nucleoside Analogues. Synlett. 32(9). 892–896. 5 indexed citations
7.
Lin, Arkadii, Natalia Dyubankova, Timur Madzhidov, et al.. (2021). Atom‐to‐atom Mapping: A Benchmarking Study of Popular Mapping Algorithms and Consensus Strategies. Molecular Informatics. 41(4). e2100138–e2100138. 34 indexed citations
8.
Gimadiev, Timur, Arkadii Lin, Ramil Nugmanov, et al.. (2021). Reaction Data Curation I: Chemical Structures and Transformations Standardization. Molecular Informatics. 40(12). e2100119–e2100119. 23 indexed citations
9.
Verhoeven, Jonas, Wenbin Wang, Marta Brambilla, et al.. (2021). Stereodivergent Synthesis of Biologically Active Spironucleoside Scaffolds via Catalytic Cyclopropanation of 4-exo-Methylene Furanosides. The Journal of Organic Chemistry. 86(23). 17344–17361. 7 indexed citations
10.
Verhoeven, Jonas, Marta Brambilla, Guido Verniest, et al.. (2021). Regio- and Stereoselective Synthesis of C-4′ Spirocyclobutyl Ribofuranose Scaffolds and Their Use as Biologically Active Nucleoside Analogues. Organic Letters. 23(22). 8828–8833. 6 indexed citations
11.
Verhoeven, Jonas, Vineet Pande, Weimei Sun, et al.. (2020). Synthesis and Reactivity of Spirocarbocycles as Scaffolds for Nucleoside Analogues. The Journal of Organic Chemistry. 85(23). 14989–15005. 1 indexed citations
12.
Verhoeven, Jonas, Freija De Vleeschouwer, Kristof Van Hecke, et al.. (2019). Preparation of 4′‐Spirocyclobutyl Nucleoside Analogues as Novel and Versatile Adenosine Scaffolds. Chemistry - A European Journal. 25(67). 15419–15423. 10 indexed citations
13.
Verhoeven, Jonas, et al.. (2018). Synthesis and transformations of pyrrolo[1,2-a][1,3,5]-triazines. Tetrahedron Letters. 59(52). 4537–4539. 5 indexed citations
14.
Thijssen, J. M., et al.. (1993). Ultrasonic tissue characterisation using neural networks. 110–112. 1 indexed citations
15.
Verhoeven, Jonas. (1993). Improvement of Lesion Detectability by Speckle Reduction Filtering: A Quantitative Study. Ultrasonic Imaging. 15(3). 181–204. 26 indexed citations
16.
Verhoeven, Jonas & J.M. Thijssen. (1993). Improvement of Lesion Detectability by Speckle Reduction Filtering: A Quantitative Study. Ultrasonic Imaging. 15(3). 181–204. 35 indexed citations
17.
Verhoeven, Jonas & J.M. Thijssen. (1993). Potential of Fractal Analysis for Lesion Detection in Echographic Images. Ultrasonic Imaging. 15(4). 304–323. 12 indexed citations
18.
Verhoeven, Jonas & J.M. Thijssen. (1992). A software controllable time-gain-compensation amplifier board for VMEbus systems. Ultrasonics. 30(6). 407–408. 3 indexed citations
19.
Verhoeven, Jonas, et al.. (1991). Improvement of Lesion Detection by Echographic Image Processing: Signal-to-Noise-Ratio Imaging. Ultrasonic Imaging. 13(3). 238–251. 28 indexed citations
20.
Verhoeven, Jonas. (1991). Improvement of lesion detection by echographic image processing: Signal-to-noise-ratio imaging. Ultrasonic Imaging. 13(3). 238–251. 16 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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