Tom Venken

540 total citations
19 papers, 264 citations indexed

About

Tom Venken is a scholar working on Molecular Biology, Virology and Cancer Research. According to data from OpenAlex, Tom Venken has authored 19 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Virology and 4 papers in Cancer Research. Recurrent topics in Tom Venken's work include HIV Research and Treatment (4 papers), Protein Structure and Dynamics (3 papers) and Fermentation and Sensory Analysis (3 papers). Tom Venken is often cited by papers focused on HIV Research and Treatment (4 papers), Protein Structure and Dynamics (3 papers) and Fermentation and Sensory Analysis (3 papers). Tom Venken collaborates with scholars based in Belgium, Germany and United States. Tom Venken's co-authors include Marc De Maeyer, Arnout Voet, Bernard Thienpont, Jos van Pelt, Tania Roskams, Jeroen Dekervel, Chris Verslype, Eva Galle, Eric Van Cutsem and Sarah Cappuyns and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Langmuir.

In The Last Decade

Tom Venken

18 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Venken Belgium 10 138 39 33 30 24 19 264
Navid Pourzardosht Iran 10 195 1.4× 36 0.9× 39 1.2× 20 0.7× 7 0.3× 19 311
Mohammad Ali Mazlomi Iran 8 122 0.9× 38 1.0× 40 1.2× 7 0.2× 16 0.7× 17 255
Stanislav S. Terekhov Russia 10 162 1.2× 11 0.3× 22 0.7× 20 0.7× 14 0.6× 34 351
Yuling Sheng China 8 169 1.2× 12 0.3× 29 0.9× 13 0.4× 18 0.8× 15 295
Joseph Bazzill United States 12 211 1.5× 26 0.7× 47 1.4× 10 0.3× 13 0.5× 13 401
Ana Marı́a Zarate Chile 11 127 0.9× 36 0.9× 45 1.4× 26 0.9× 8 0.3× 29 329
Eszter Boros Hungary 7 214 1.6× 12 0.3× 23 0.7× 17 0.6× 26 1.1× 11 414
Mohiuddin Khan Warsi Saudi Arabia 11 138 1.0× 29 0.7× 72 2.2× 7 0.2× 15 0.6× 19 326
Zhiling Zhu China 12 176 1.3× 15 0.4× 21 0.6× 14 0.5× 16 0.7× 24 432
Yajie Wang China 10 224 1.6× 29 0.7× 52 1.6× 37 1.2× 7 0.3× 27 406

Countries citing papers authored by Tom Venken

Since Specialization
Citations

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

Fields of papers citing papers by Tom Venken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Venken

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

All Works

19 of 19 papers shown
1.
Venken, Tom, Rogier Schepers, Thomas Van Brussel, et al.. (2025). Single-Nucleus RNA-Sequencing Identifies a Differential Profibrotic Response in Parietal Epithelial Cells in Primary Versus Maladaptive Focal Segmental Glomerulosclerosis. Kidney International Reports. 10(9). 3255–3270.
2.
Loverix, Liselore, Ignace Vergote, Pieter Busschaert, et al.. (2024). 569 The Leuven PARPi benefit test as improved approach for prediction of PARPi benefit in the PAOLA-1/ENGOTov25 trial. A43.2–A44. 1 indexed citations
3.
Venken, Tom, David Nittner, Jelle Verbeeck, et al.. (2023). Transcription factor NKX2–1 drives serine and glycine synthesis addiction in cancer. British Journal of Cancer. 128(10). 1862–1878. 14 indexed citations
4.
Galle, Eva, Bernard Thienpont, Sarah Cappuyns, et al.. (2020). DNA methylation-driven EMT is a common mechanism of resistance to various therapeutic agents in cancer. Clinical Epigenetics. 12(1). 27–27. 66 indexed citations
5.
Venken, Tom, Hanny Willems, An Jacobs, et al.. (2019). Molecular drug susceptibility testing and strain typing of tuberculosis by DNA hybridization. PLoS ONE. 14(2). e0212064–e0212064. 5 indexed citations
6.
Nomidis, Stefanos K., et al.. (2019). Enhancing the Performance of DNA Surface-Hybridization Biosensors through Target Depletion. Langmuir. 35(37). 12276–12283. 5 indexed citations
7.
Venken, Tom, et al.. (2017). Interactions stabilizing the C-terminal helix of human phospholipid scramblase 1 in lipid bilayers: A computational study. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(7). 1200–1210. 6 indexed citations
8.
Willems, Hanny, An Jacobs, Tom Venken, et al.. (2017). Thermodynamic framework to assess low abundance DNA mutation detection by hybridization. PLoS ONE. 12(5). e0177384–e0177384. 6 indexed citations
9.
Venken, Tom, et al.. (2017). d-Peptides as inhibitors of PR3-membrane interactions. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(2). 458–466. 4 indexed citations
10.
Steenackers, Hans, et al.. (2017). Computational Studies of the Active and Inactive Regulatory Domains of Response Regulator PhoP Using Molecular Dynamics Simulations. Molecular Informatics. 36(11). 4 indexed citations
11.
Vercruysse, Thomas, Tom Venken, Els Vanstreels, et al.. (2013). Mapping the Binding Interface between an HIV-1 Inhibiting Intrabody and the Viral Protein Rev. PLoS ONE. 8(4). e60259–e60259. 12 indexed citations
12.
Venken, Tom, Arnout Voet, Marc De Maeyer, Gianni De Fabritiis, & S. Kashif Sadiq. (2013). Rapid Conformational Fluctuations of Disordered HIV-1 Fusion Peptide in Solution. Journal of Chemical Theory and Computation. 9(7). 2870–2874. 6 indexed citations
13.
Venken, Tom, Mohammadreza Khalesi, Kurt Gebruers, et al.. (2013). Combined Modeling and Biophysical Characterisation of CO2 Interaction with Class II Hydrophobins: New Insight into the Mechanism Underpinning Primary Gushing. 38(2). 58–58. 10 indexed citations
14.
Yuan, Shuguang, Katrien Le Roy, Tom Venken, et al.. (2012). pKa Modulation of the Acid/Base Catalyst within GH32 and GH68: A Role in Substrate/Inhibitor Specificity?. PLoS ONE. 7(5). e37453–e37453. 19 indexed citations
15.
Broos, Katleen, Jonas Demeulemeester, Aline Vandenbulcke, et al.. (2012). Identification of a Small Molecule That Modulates Platelet Glycoprotein Ib-von Willebrand Factor Interaction. Journal of Biological Chemistry. 287(12). 9461–9472. 9 indexed citations
16.
Venken, Tom, Dirk Daelemans, Marc De Maeyer, & Arnout Voet. (2012). Computational investigation of the HIV‐1 Rev multimerization using molecular dynamics simulations and binding free energy calculations. Proteins Structure Function and Bioinformatics. 80(6). 1633–1646. 9 indexed citations
17.
Khalesi, Mohammadreza, Tom Venken, James Winterburn, et al.. (2012). A novel method for hydrophobin extraction using CO2 foam fractionation system. Industrial Crops and Products. 43. 372–377. 33 indexed citations
18.
Venken, Tom, Mohammadreza Khalesi, Kurt Gebruers, et al.. (2012). Combined Modeling and Biophysical Characterisation of CO2 Interaction with Class II Hydrophobins: New Insight into the Mechanism Underpinning Primary Gushing. Journal of the American Society of Brewing Chemists. 70(4). 249–256. 20 indexed citations
19.
Venken, Tom, Jan Münch, Frank Kirchhoff, et al.. (2011). An optimized MM/PBSA virtual screening approach applied to an HIV‐1 gp41 fusion peptide inhibitor. Proteins Structure Function and Bioinformatics. 79(11). 3221–3235. 35 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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