Koen Van der Borght

1.2k citations

16 papers · 317 indexed · h-index 10

Co-authors: Lee T. Bacheler Pierre Lecocq Liesbeth Van Wesenbeeck Hugo Ceulemans Elke Van Craenenbroeck Bie Verbist Olivier Thas Margriet Van Houtte
Topics: HIV Research and Treatment (9 papers)HIV/AIDS drug development and treatment (8 papers)HIV/AIDS Research and Interventions (5 papers)
Cited by: Virology Infectious Diseases Hematology
Journals: Blood Bioinformatics Scientific Reports
Partner nations: Belgium United States Netherlands

In The Last Decade

Koen Van der Borght

16 papers receiving 308 citations

Peers

Countries citing papers authored by Koen Van der Borght

Since Specialization

Citations

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

Fields of papers citing papers by Koen Van der Borght

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koen Van der Borght. 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 Koen Van der Borght. The network helps show where Koen Van der Borght may publish in the future.

Co-authorship network of co-authors of Koen Van der Borght

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	AAV-HBV mouse model replicates immune exhaustion patterns of chronic HBV patients at single-cell level 2023 ·Journal of Hepatology ·(unknown),Qinglin Han,(unknown),Zhiyuan Yao,Qun Wu,Dries De Maeyer,Koen Van der Borght,Matthias Beyens,Ellen Van Gulck,George Kukolj,(unknown),Chris Li,Isabel Nájera	1
2	How does pneumovirus influence antigen presentation in neonatal mice? 2023 ·Esther de Leeuw,Cédric Bosteels,Dorine Sichien,Koen Van der Borght,Jaap Deckers,Manon Vanheerswynghels,(unknown),Hamida Hammad,Bart N. Lambrecht	1
3	High‐Parameter Mass Cytometry Evaluation of Relapsed/Refractory Multiple Myeloma Patients Treated with Daratumumab Demonstrates Immune Modulation as a Novel Mechanism of Action 2018 ·Cytometry Part A ·Homer Adams,Frederik Stevenaert,Jakub Krejcik,Koen Van der Borght,Tina Smets,Jaime Bald,Yann Abraham,Hugo Ceulemans,Christopher Chiu,Greet Vanhoof,Saad Z. Usmani,Torben Plesner,Sagar Lonial,Inger S. Nijhof,Henk M. Lokhorst,Tuna Mutis,Niels W.C.J. van de Donk,A. Kate Sasser,Tineke Casneuf	94
4	BIGL: Biochemically Intuitive Generalized Loewe null model for prediction of the expected combined effect compatible with partial agonism and antagonism 2017 ·Scientific Reports ·Koen Van der Borght,(unknown),(unknown),Olivier Thas,(unknown),Heather Turner,Bie Verbist,Hugo Ceulemans	18
5	High-Parameter Mass Cytometry (CyTOF) Evaluation of Relapsed/Refractory Multiple Myeloma (MM) Pts (Pts) Treated with Daratumumab Supports Immune Modulation As a Novel Mechanism of Action 2016 ·Blood ·Homer Adams,Frederik Stevenaert,Jakub Krejcik,Koen Van der Borght,Tineke Casneuf,Tina Smets,Jaime Bald,Yann Abraham,Hugo Ceulemans,Greet Vanhoof,Tahamtan Ahmadi,Saad Z. Usmani,Torben Plesner,Sagar Lonial,(unknown),Henk M. Lokhorst,Tuna Mutis,Niels W.C.J. van de Donk,A. Kate Sasser	9
6	QQ-SNV: single nucleotide variant detection at low frequency by comparing the quality quantiles 2015 ·BMC Bioinformatics ·Koen Van der Borght,Kim Thys,(unknown),Lieven Clement,Bie Verbist,Joke Reumers,Herman van Vlijmen,Jeroen Aerssens	2
7	Multi-model inference using mixed effects from a linear regression based genetic algorithm 2014 ·BMC Bioinformatics ·Koen Van der Borght,Geert Verbeke,Herman van Vlijmen	4
8	VirVarSeq: a low-frequency virus variant detection pipeline for Illumina sequencing using adaptive base-calling accuracy filtering 2014 ·Bioinformatics ·Bie Verbist,Kim Thys,Joke Reumers,(unknown),Koen Van der Borght,Willem Talloen,Jeroen Aerssens,Lieven Clement,Olivier Thas	36
9	Quantitative prediction of integrase inhibitor resistance from genotype through consensus linear regression modeling 2013 ·Virology Journal ·Koen Van der Borght,(unknown),(unknown),Liesbeth Van Wesenbeeck,(unknown),Elke Van Craenenbroeck,Herman van Vlijmen	9
10	Resistance to raltegravir highlights integrase mutations at codon 148 in conferring cross-resistance to a second-generation HIV-1 integrase inhibitor 2011 ·Antiviral Research ·Olivia Goethals,Marcia Van Ginderen,Ann Vos,Maxwell D. Cummings,Koen Van der Borght,Liesbeth Van Wesenbeeck,(unknown),(unknown),(unknown),Marnix Van Loock,Kurt Hertogs,Dominique Schols,R. Clayton	26
11	Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations 2011 ·BMC Bioinformatics ·Koen Van der Borght,Elke Van Craenenbroeck,Pierre Lecocq,Margriet Van Houtte,(unknown),Lee T. Bacheler,Geert Verbeke,Herman van Vlijmen	16
12	A comparative analysis of HIV drug resistance interpretation based on short reverse transcriptase sequences versus full sequences 2010 ·AIDS Research and Therapy ·Kim Steegen,(unknown),Elke Van Craenenbroeck,(unknown),Koen Van der Borght,Carole L. Wallis,Wendy Stevens,Tobias F. Rinke de Wit,Lieven Stuyver	5
13	Cross-Resistance Profile Determination of Two Second-Generation HIV-1 Integrase Inhibitors Using a Panel of Recombinant Viruses Derived from Raltegravir-Treated Clinical Isolates 2010 ·Antimicrobial Agents and Chemotherapy ·Liesbeth Van Wesenbeeck,Evelien Rondelez,(unknown),(unknown),Koen Van der Borght,(unknown),(unknown),Hans Wolf,Karen Van Baelen,Lieven Stuyver	45
14	A comparison of HIV‐1 drug susceptibility as provided by conventional phenotyping and by a phenotype prediction tool based on viral genotype 2009 ·Journal of Medical Virology ·Margriet Van Houtte,Gastón Picchio,Koen Van der Borght,Theresa Pattery,Pierre Lecocq,Lee T. Bacheler	25
15	Clinical cut-offs for HIV-1 phenotypic resistance estimates: Update based on recent pivotal clinical trial data and a revised approach to viral mixtures 2009 ·Journal of Virological Methods ·(unknown),Elke Van Craenenbroeck,Koen Van der Borght,Pierre Lecocq,Jorge Villacian,Lee T. Bacheler	16
16	Advantages of predicted phenotypes and statistical learning models in inferring virological response to antiretroviral therapy from HIV genotype 2008 ·Antiviral Therapy ·André Altmann,Tobias Sing,Hans Vermeiren,(unknown),Elke Van Craenenbroeck,Koen Van der Borght,Soo‐Yon Rhee,Robert W. Shafer,Eugen Schülter,Rolf Kaiser,(unknown),Anders Sönnerborg,W. Jeffrey Fessel,Francesca Incardona,Maurizio Zazzi,Lee T. Bacheler,Herman van Vlijmen,Thomas Lengauer	10

About Koen Van der Borght

Koen Van der Borght is a scholar working on Virology, Infectious Diseases and Hematology, having authored 16 papers that have together received 317 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (8 papers) and HIV/AIDS Research and Interventions (5 papers). The work is most often cited by research in Virology (147 citations), Infectious Diseases (156 citations) and Hematology (93 citations). Koen Van der Borght has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Lee T. Bacheler, Pierre Lecocq, Liesbeth Van Wesenbeeck, Hugo Ceulemans, Elke Van Craenenbroeck, Bie Verbist, Olivier Thas, Margriet Van Houtte, Greet Vanhoof and Yann Abraham. Their work appears in journals such as Blood, Bioinformatics and Scientific Reports.

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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