Kris Laukens

8.1k total citations
180 papers, 4.9k citations indexed

About

Kris Laukens is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Kris Laukens has authored 180 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 45 papers in Spectroscopy and 24 papers in Epidemiology. Recurrent topics in Kris Laukens's work include Metabolomics and Mass Spectrometry Studies (43 papers), Advanced Proteomics Techniques and Applications (37 papers) and Mass Spectrometry Techniques and Applications (22 papers). Kris Laukens is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (43 papers), Advanced Proteomics Techniques and Applications (37 papers) and Mass Spectrometry Techniques and Applications (22 papers). Kris Laukens collaborates with scholars based in Belgium, United States and France. Kris Laukens's co-authors include Erwin Witters, Pieter Meysman, Wout Bittremieux, Sébastien Carpentier, Bart Panis, Trung Nghia Vu, Peter Deckers, Dirk Valkenborg, Rony Swennen and Thanh Hai Dang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kris Laukens

172 papers receiving 4.8k citations

Peers

Countries citing papers authored by Kris Laukens

Since Specialization

Citations

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

Fields of papers citing papers by Kris Laukens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kris Laukens

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Spiny dogfish, Squalus suckleyi, shows a good tolerance for hypoxia but need long recovery times 2024 ·Conservation Physiology ·Gudrun De Boeck, (unknown), Marleen Eyckmans, Trung Nghia Vu, Kris Laukens, R. Dommisse, Chris M. Wood	0
2	Immune-based Machine learning Prediction of Diagnosis and Illness State in Schizophrenia and Bipolar Disorder 2024 ·Brain Behavior and Immunity ·(unknown), Livia De Picker, Ching‐Lien Wu, Marianne Foiselle, Jean‐Romain Richard, Wahid Boukouaci, (unknown), Kris Laukens, Pieter Meysman, Philippe Le Corvoisier, Caroline Barau, Manuel Morrens, Ryad Tamouza, Marion Leboyer	10
3	A machine-learning based model for automated recommendation of individualized treatment of rifampicin-resistant tuberculosis 2024 ·PLoS ONE ·Lennert Verboven, Steven Callens, John Black, Gary Maartens, Kelly E. Dooley, (unknown), (unknown), (unknown), Kris Laukens, Robin M. Warren, Annelies Van Rie	3
4	T cell receptor–centric perspective to multimodal single-cell data analysis 2024 ·Science Advances ·(unknown), My Kieu Ha, (unknown), (unknown), Benson Ogunjimi, Kris Laukens, Pieter Meysman	1
5	Machine learning‐based peptide‐spectrum match rescoring opens up the immunopeptidome 2023 ·PROTEOMICS ·Charlotte Adams, Kris Laukens, Wout Bittremieux, Kurt Boonen	7
6	Diagnosing Viral Infections Through T-Cell Receptor Sequencing of Activated CD8+ T Cells 2023 ·The Journal of Infectious Diseases ·(unknown), My Kieu Ha, Tessa de Block, (unknown), Isabel Brosius, Caroline Theunissen, Sabrina H. van Ierssel, Esther Bartholomeus, Wim Adriaensen, Guido Vanham, George Elias, Pierre Van Damme, Viggo Van Tendeloo, Philippe Beutels, (unknown), Erika Vlieghe, Benson Ogunjimi, Kris Laukens, Pieter Meysman, Koen Vercauteren	3
7	MeRgeION: a Multifunctional R Pipeline for Small Molecule LC-MS/MS Data Processing, Searching, and Organizing 2023 ·Analytical Chemistry ·Youzhong Liu, (unknown), (unknown), Jennifer L. Lippens, (unknown), (unknown), Kris Laukens, Thomas De Vijlder	2
8	Viral Evolution and Immunology of SARS-CoV-2 in a Persistent Infection after Treatment with Rituximab 2022 ·Viruses ·(unknown), (unknown), My Kieu Ha, (unknown), (unknown), Dimitri Breems, Pieter Meysman, Kris Laukens, Walter Verstrepen, (unknown), Benson Ogunjimi, Kevin K. Ariën, Reinout Naesens	7
9	T cell immunity in HSV-1- and VZV-infected neural ganglia 2022 ·Trends in Microbiology ·(unknown), Pieter Meysman, Kris Laukens, Peter Ponsaerts, Benson Ogunjimi, Peter Delputte	13
10	HLA-DRB1 Alleles Associated with Lower Leishmaniasis Susceptibility Share Common Amino Acid Polymorphisms and Epitope Binding Repertoires 2021 ·Vaccines ·(unknown), Pieter Meysman, Sofie Gielis, Wim Adriaensen, Kris Laukens, Bart Cuypers	6
11	ClusTCR: a python interface for rapid clustering of large sets of CDR3 sequences with unknown antigen specificity 2021 ·Computer applications in the biosciences ·(unknown), (unknown), Kris Laukens, Pieter Meysman	39
12	Ferroptosis Induction in Multiple Myeloma Cells Triggers DNA Methylation and Histone Modification Changes Associated with Cellular Senescence 2021 ·International Journal of Molecular Sciences ·Emilie Logie, Bart Van Puyvelde, Bart Cuypers, (unknown), (unknown), (unknown), Kris Laukens, Lode Godderis, Maarten Dhaenens, Dieter Deforce, Wim Vanden Berghe	37
13	Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification 2020 ·Briefings in Bioinformatics ·Pieter Moris, (unknown), (unknown), Sofie Gielis, Nicolas De Neuter, Wout Bittremieux, Benson Ogunjimi, Kris Laukens, Pieter Meysman	97
14	Osmotic stress inhibits leaf growth of Arabidopsis thaliana by enhancing ARF‐mediated auxin responses 2020 ·New Phytologist ·Shweta Kalve, (unknown), Marios Nektarios Markakis, Céline Helsmoortel, Geert Vandeweyer, Kris Laukens, Manou Sommen, Stefan Naulaerts, Kris Vissenberg, Els Prinsen, Gerrit T.S. Beemster	47
15	MESSAR: Automated recommendation of metabolite substructures from tandem mass spectra 2020 ·PLoS ONE ·Youzhong Liu, (unknown), Pieter Meysman, Thomas De Vijlder, Edwin P. Romijn, Dirk Valkenborg, Wout Bittremieux, Kris Laukens	27
16	Using Expert Driven Machine Learning to Enhance Dynamic Metabolomics Data Analysis 2019 ·Metabolites ·Charlie Beirnaert, (unknown), Pieter Meysman, Wout Bittremieux, Kenn Foubert, Deborah Custers, (unknown), Matthias Cuykx, Luc Pieters, Adrian Covaci, Kris Laukens	17
17	speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification 2018 ·PLoS Computational Biology ·Charlie Beirnaert, Pieter Meysman, Trung Nghia Vu, Nina Hermans, Sandra Apers, Luc Pieters, Adrian Covaci, Kris Laukens	40
18	On the viability of unsupervised T-cell receptor sequence clustering for epitope preference 2018 ·Bioinformatics ·Pieter Meysman, Nicolas De Neuter, Sofie Gielis, (unknown), Benson Ogunjimi, Kris Laukens	42
19	Proceedings of the EuBIC developer's meeting 2018 2018 ·Journal of Proteomics ·Sander Willems, David Bouyssié, Dieter Deforce, Viktoria Dorfer, Vladimir Gorshkov, Dominik Kopczynski, Kris Laukens, Marie Locard‐Paulet, Veit Schwämmle, Julian Uszkoreit, Dirk Valkenborg, Marc Vaudel, Wout Bittremieux	3
20	Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph 2016 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Pieter Meysman, Yvan Saeys, (unknown), Wout Bittremieux, Yves Van de Peer, Bart Goethals, Kris Laukens	3

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.

Explore authors with similar magnitude of impact