Tim Van den Bulcke

623 total citations
17 papers, 382 citations indexed

About

Tim Van den Bulcke is a scholar working on Molecular Biology, Artificial Intelligence and Virology. According to data from OpenAlex, Tim Van den Bulcke has authored 17 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Virology. Recurrent topics in Tim Van den Bulcke's work include Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (5 papers). Tim Van den Bulcke is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (5 papers). Tim Van den Bulcke collaborates with scholars based in Belgium and Germany. Tim Van den Bulcke's co-authors include Kathleen Marchal, Bart De Moor, Piet van Remortel, Koen Van Leemput, A. Verschoren, Bart Naudts, Hongwu Ma, Kim Luyckx, R. Frank Kooy and Geert Vandeweyer and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Tim Van den Bulcke

17 papers receiving 373 citations

Peers

Countries citing papers authored by Tim Van den Bulcke

Since Specialization

Citations

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

Fields of papers citing papers by Tim Van den Bulcke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Van den Bulcke. 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 Tim Van den Bulcke. The network helps show where Tim Van den Bulcke may publish in the future.

Co-authorship network of co-authors of Tim Van den Bulcke

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Extracting functional insights from loss-of-function screens using deep link prediction 2022 ·Cell Reports Methods ·(unknown), (unknown), (unknown), Tim Van den Bulcke, Kathleen Marchal	1
2	Data integration of structured and unstructured sources for assigning clinical codes to patient stays 2015 ·Journal of the American Medical Informatics Association ·(unknown), Kim Luyckx, (unknown), Walter Daelemans, Tim Van den Bulcke	52
3	VariantDB: a flexible annotation and filtering portal for next generation sequencing data 2014 ·Genome Medicine ·Geert Vandeweyer, Lut Van Laer, Bart Loeys, Tim Van den Bulcke, R. Frank Kooy	45
4	VariantDB: A flexible annotation and filtering portal for next generation sequencing data 2014 ·Genome Medicine ·Geert Vandeweyer, Lut Van Laer, Bart Loeys, Tim Van den Bulcke, R. Frank Kooy	3
5	PASTEL: A Semantic Platform for Assisted Clinical Trial Patient Recruitment 2013 ·(unknown), Kim Luyckx, (unknown), Tim Van den Bulcke	3
6	De-Identification of Clinical Free Text in Dutch with Limited Training Data: A Case Study 2013 ·(unknown), Kim Luyckx, (unknown), Tim Van den Bulcke	5
7	Towards a flexible semantic framework for clinical trial eligibility using topic maps 2012 ·Knowledge Discovery and Data Mining ·(unknown), Tim Van den Bulcke	3
8	Query-based biclustering of gene expression data using Probabilistic Relational Models 2011 ·BMC Bioinformatics ·Hui Zhao, Lore Cloots, Tim Van den Bulcke, Yan Wu, Riet De Smet, Valérie Storms, Pieter Meysman, Kristof Engelen, Kathleen Marchal	14
9	Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data 2010 ·Journal of Biomedical Informatics ·Tim Van den Bulcke, (unknown), Viviane Van Hoof, Kristien Wouters, Seppe vanden Broucke, Geert A.H.J. Smits, Elke Smits, (unknown), (unknown), François Eyskens	19
10	ViTraM: visualization of transcriptional modules 2009 ·Bioinformatics ·Hong Sun, Karen Lemmens, Tim Van den Bulcke, Kristof Engelen, Bart De Moor, Kathleen Marchal	2
11	Robust Algorithms for Inferring of Regulatory Networks Based on Gene Expression Measurements and Biological Prior Information (Robuuste algoritmes voor de inferentie van regulatorische netwerken op basis van expressiemetingen en biologische prior informatie) 2009 ·Tim Van den Bulcke	2
12	Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data 2008 ·Artificial Life ·Koen Van Leemput, Tim Van den Bulcke, (unknown), Bart De Moor, Kathleen Marchal, Piet van Remortel	2
13	SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms 2006 ·BMC Bioinformatics ·Tim Van den Bulcke, Koen Van Leemput, Bart Naudts, Piet van Remortel, Hongwu Ma, A. Verschoren, Bart De Moor, Kathleen Marchal	209
14	Inferring Transcriptional Networks by Mining Omics Data 2006 ·Current Bioinformatics ·Tim Van den Bulcke, Karen Lemmens, Yves Van de Peer, Kathleen Marchal	12
15	A generator of biologically plausible synthetic gene expression data for design and analysis of structure learning algorithms 2005 ·Koen Van Leemput, Tim Van den Bulcke, Bart Naudts, Piet van Remortel, A. Verschoren, Bart De Moor, Kathleen Marchal	6
16	Application of multiple linear regression modelling to the quantitative prediction of HIV-1 drug susceptibility phenotype from viral genotype 2004 ·Antiviral Therapy ·Hans Vermeiren, Tim Van den Bulcke, Herwig Van Marck, Pierre Lecocq, Margriet Van Houtte, Lee T. Bacheler	2
17	Quantitative prediction of HIV drug susceptibility from viral genotype through linear regression modelling 2003 ·Antiviral Therapy ·Herwig Van Marck, Tim Van den Bulcke, Margriet Van Houtte, Pierre Lecocq, Lee T. Bacheler	2

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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