Thomas De Vijlder

857 total citations
24 papers, 636 citations indexed

About

Thomas De Vijlder is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Thomas De Vijlder has authored 24 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Spectroscopy and 3 papers in Computational Theory and Mathematics. Recurrent topics in Thomas De Vijlder's work include Analytical Chemistry and Chromatography (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Thomas De Vijlder is often cited by papers focused on Analytical Chemistry and Chromatography (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Thomas De Vijlder collaborates with scholars based in Belgium, United States and Netherlands. Thomas De Vijlder's co-authors include Kris Laukens, Edwin P. Romijn, Dirk Valkenborg, Filip Lemière, Filip Cuyckens, Erwin Witters, Youzhong Liu, Geert De Jaeger, Govert W. Somsen and Elena Domínguez‐Vega and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Thomas De Vijlder

23 papers receiving 625 citations

Peers

Thomas De Vijlder
Shaoxia Yu United States
Ken Cook United Kingdom
Michaela Ščigelová United Kingdom
Chris M. Lee United States
Aivett Bilbao Pena United States
Thomas De Vijlder
Citations per year, relative to Thomas De Vijlder Thomas De Vijlder (= 1×) peers Runsheng Zheng

Countries citing papers authored by Thomas De Vijlder

Since Specialization
Citations

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

Fields of papers citing papers by Thomas De Vijlder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas De Vijlder. 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 Thomas De Vijlder. The network helps show where Thomas De Vijlder may publish in the future.

Co-authorship network of co-authors of Thomas De Vijlder

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas De Vijlder. A scholar is included among the top collaborators of Thomas De Vijlder 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 Thomas De Vijlder. Thomas De Vijlder 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.
Noten, Bart, et al.. (2024). Why a complementary analytical toolbox is essential for correct siRNA duplex content determination. Journal of Pharmaceutical Sciences. 114(2). 1359–1367. 1 indexed citations
2.
Lippens, Jennifer L., et al.. (2024). SynONIM: A Comprehensive Database of Synthetic Oligonucleotide Modifications and Impurities to Aid in Their Characterization by Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 35(11). 2608–2613. 1 indexed citations
4.
Liu, Youzhong, et al.. (2024). TransExION: a transformer based explainable similarity metric for comparing IONS in tandem mass spectrometry. Journal of Cheminformatics. 16(1). 3 indexed citations
5.
Liu, Youzhong, Michał Startek, Frederik Lermyte, et al.. (2024). MIND4OLIGOS: Determining the Monoisotopic Mass of Oligonucleotides Observed in High-Resolution Mass Spectrometry. Analytical Chemistry. 96(23). 9343–9352. 3 indexed citations
6.
Liu, Youzhong, et al.. (2023). MeRgeION: a Multifunctional R Pipeline for Small Molecule LC-MS/MS Data Processing, Searching, and Organizing. Analytical Chemistry. 95(22). 8433–8442. 2 indexed citations
7.
Albaneze‐Walker, Jennifer, et al.. (2022). Synthesis of Phosphorodiamidate Oligonucleotide Dimers. The Journal of Organic Chemistry. 87(19). 13363–13366. 1 indexed citations
8.
Wechselberger, Rainer, et al.. (2021). Characterization of In Vitro G-Quadruplex Formation of Imetelstat Telomerase Inhibitor. Nucleic Acid Therapeutics. 31(5). 341–350. 5 indexed citations
9.
Liu, Youzhong, Thomas De Vijlder, Wout Bittremieux, Kris Laukens, & Wouter Heyndrickx. (2021). Current and future deep learning algorithms for tandem mass spectrometry (MS/MS)‐based small molecule structure elucidation. Rapid Communications in Mass Spectrometry. 39(S1). e9120–e9120. 23 indexed citations
10.
Koehl, Niklas J., René Holm, Martin Kuentz, et al.. (2021). Lipophilic Salts and Lipid-Based Formulations for Bridging the Food Effect Gap of Venetoclax. Journal of Pharmaceutical Sciences. 111(1). 164–174. 15 indexed citations
11.
Liu, Youzhong, Pieter Meysman, Thomas De Vijlder, et al.. (2020). MESSAR: Automated recommendation of metabolite substructures from tandem mass spectra. PLoS ONE. 15(1). e0226770–e0226770. 27 indexed citations
12.
Haselberg, Rob, Thomas De Vijlder, Raimond Heukers, et al.. (2018). Heterogeneity assessment of antibody-derived therapeutics at the intact and middle-up level by low-flow sheathless capillary electrophoresis-mass spectrometry. Analytica Chimica Acta. 1044. 181–190. 51 indexed citations
13.
Domínguez‐Vega, Elena, Thomas De Vijlder, Edwin P. Romijn, & Govert W. Somsen. (2017). Capillary electrophoresis-tandem mass spectrometry as a highly selective tool for the compositional and site-specific assessment of multiple peptide-deamidation. Analytica Chimica Acta. 982. 122–130. 16 indexed citations
14.
Waldron, Ann‐Marie, Thomas De Vijlder, Bianca Van Broeck, et al.. (2016). Synthesis and Evaluation of a Zr-89-Labeled Monoclonal Antibody for Immuno-PET Imaging of Amyloid-β Deposition in the Brain. Molecular Imaging and Biology. 18(4). 598–605. 20 indexed citations
15.
Vijlder, Thomas De, et al.. (2014). A generic approach for “shotgun” analysis of the soluble proteome of plant cell suspension cultures. Journal of Chromatography B. 974. 48–56. 1 indexed citations
16.
Vijlder, Thomas De, Dirk Valkenborg, Kris Laukens, et al.. (2011). Unraveling tobacco BY-2 protein complexes with BN PAGE/LC–MS/MS and clustering methods. Journal of Proteomics. 74(8). 1201–1217. 14 indexed citations
17.
Vijlder, Thomas De, Kris Laukens, Thanh Hai Dang, et al.. (2011). Next generation functional proteomics in non-model plants: A survey on techniques and applications for the analysis of protein complexes and post-translational modifications. Phytochemistry. 72(10). 1192–1218. 26 indexed citations
18.
Vijlder, Thomas De, Jasper Boschmans, Erwin Witters, & Filip Lemière. (2010). Study on the loss of nucleoside mono-, di- and triphosphates and phosphorylated peptides to a metal-free LC–MS hardware. International Journal of Mass Spectrometry. 304(2-3). 83–90. 11 indexed citations
19.
Gerber, Isak B., Kris Laukens, Thomas De Vijlder, Erwin Witters, & Ian A. Dubery. (2008). Proteomic profiling of cellular targets of lipopolysaccharide-induced signalling in Nicotiana tabacum BY-2 cells. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1784(11). 1750–1762. 33 indexed citations
20.
Leene, Jelle Van, Hilde Stals, Dominique Eeckhout, et al.. (2007). A Tandem Affinity Purification-based Technology Platform to Study the Cell Cycle Interactome in Arabidopsis thaliana. Molecular & Cellular Proteomics. 6(7). 1226–1238. 176 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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