Niels Hulstaert

1.0k total citations
19 papers, 589 citations indexed

About

Niels Hulstaert is a scholar working on Molecular Biology, Spectroscopy and Information Systems and Management. According to data from OpenAlex, Niels Hulstaert has authored 19 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Spectroscopy and 2 papers in Information Systems and Management. Recurrent topics in Niels Hulstaert's work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (9 papers) and RNA and protein synthesis mechanisms (7 papers). Niels Hulstaert is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (9 papers) and RNA and protein synthesis mechanisms (7 papers). Niels Hulstaert collaborates with scholars based in Belgium, Norway and United Kingdom. Niels Hulstaert's co-authors include Lennart Martens, Sven Degroeve, Ralf Gabriels, Harald Barsnes, Robbin Bouwmeester, Yasset Pérez‐Riverol, Mathias Walzer, Jim Shofstahl, Timo Sachsenberg and Kris Gevaert and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Niels Hulstaert

19 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niels Hulstaert Belgium 11 476 318 48 34 32 19 589
Matthew The Germany 14 522 1.1× 382 1.2× 37 0.8× 22 0.6× 25 0.8× 27 652
Christian M. Beusch Sweden 10 355 0.7× 139 0.4× 43 0.9× 44 1.3× 41 1.3× 20 495
Mathias Q. Müller Germany 11 416 0.9× 413 1.3× 30 0.6× 54 1.6× 20 0.6× 13 650
Wen‐Feng Zeng China 14 732 1.5× 513 1.6× 49 1.0× 27 0.8× 51 1.6× 23 879
Julia Rechenberger Germany 4 465 1.0× 358 1.1× 41 0.9× 19 0.6× 21 0.7× 6 584
Erik L. de Graaf Netherlands 15 573 1.2× 390 1.2× 43 0.9× 33 1.0× 68 2.1× 24 785
Josh Eckels United States 8 341 0.7× 204 0.6× 30 0.6× 19 0.6× 36 1.1× 9 504
Ekaterina G. Deyanova United States 12 418 0.9× 378 1.2× 54 1.1× 24 0.7× 30 0.9× 15 592

Countries citing papers authored by Niels Hulstaert

Since Specialization
Citations

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

Fields of papers citing papers by Niels Hulstaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niels Hulstaert

This figure shows the co-authorship network connecting the top 25 collaborators of Niels Hulstaert. A scholar is included among the top collaborators of Niels Hulstaert 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 Niels Hulstaert. Niels Hulstaert 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.
Bouwmeester, Robbin, Ralf Gabriels, Niels Hulstaert, Lennart Martens, & Sven Degroeve. (2021). DeepLC can predict retention times for peptides that carry as-yet unseen modifications. Nature Methods. 18(11). 1363–1369. 131 indexed citations
2.
Boone, Morgane, Pathmanaban Ramasamy, Jasper Zuallaert, et al.. (2021). Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit. Nature Communications. 12(1). 6414–6414. 5 indexed citations
3.
Vandermarliere, Elien, et al.. (2020). COSS: A Fast and User-Friendly Tool for Spectral Library Searching. Journal of Proteome Research. 19(7). 2786–2793. 14 indexed citations
4.
Ramasamy, Pathmanaban, Demet Turan, Niels Hulstaert, et al.. (2020). Scop3P: A Comprehensive Resource of Human Phosphosites within Their Full Context. Journal of Proteome Research. 19(8). 3478–3486. 23 indexed citations
5.
Hulstaert, Niels, Jim Shofstahl, Timo Sachsenberg, et al.. (2019). ThermoRawFileParser: Modular, Scalable, and Cross-Platform RAW File Conversion. Journal of Proteome Research. 19(1). 537–542. 141 indexed citations
6.
Kreft, Łukasz, Demet Turan, Niels Hulstaert, et al.. (2018). Scop3D: Online Visualization of Mutation Rates on Protein Structure. Journal of Proteome Research. 18(2). 765–769. 1 indexed citations
7.
Goeminne, Ludger J.E., Kenneth Verheggen, Niels Hulstaert, et al.. (2016). moFF: a robust and automated approach to extract peptide ion intensities. Nature Methods. 13(12). 964–966. 44 indexed citations
8.
Goeminne, Ludger J.E., Kenneth Verheggen, Niels Hulstaert, et al.. (2016). Using moFF to Extract Peptide Ion Intensities from LC-MS experiments. Protocol Exchange. 1 indexed citations
9.
Yılmaz, Şule, Friedel Drepper, Niels Hulstaert, et al.. (2016). Xilmass: A New Approach toward the Identification of Cross-Linked Peptides. Analytical Chemistry. 88(20). 9949–9957. 21 indexed citations
10.
Yılmaz, Şule, Björn Victor, Niels Hulstaert, et al.. (2016). A Pipeline for Differential Proteomics in Unsequenced Species. Journal of Proteome Research. 15(6). 1963–1970. 8 indexed citations
11.
Colaert, Niklaas, et al.. (2015). The iceLogo web server and SOAP service for determining protein consensus sequences. Nucleic Acids Research. 43(W1). W543–W546. 40 indexed citations
12.
Vandermarliere, Elien, Niels Hulstaert, Elisabeth Stes, et al.. (2015). PepShell: Visualization of Conformational Proteomics Data. Journal of Proteome Research. 14(4). 1987–1990. 2 indexed citations
13.
Verheggen, Kenneth, et al.. (2015). Pladipus Enables Universal Distributed Computing in Proteomics Bioinformatics. Journal of Proteome Research. 15(3). 707–712. 8 indexed citations
14.
Masuzzo, Paola, Niels Hulstaert, Lynn Huyck, et al.. (2013). CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays. Bioinformatics. 29(20). 2661–2663. 15 indexed citations
15.
Staes, An, Jonathan Vandenbussche, Hans Demol, et al.. (2013). Asn3, a Reliable, Robust, and Universal Lock Mass for Improved Accuracy in LC–MS and LC–MS/MS. Analytical Chemistry. 85(22). 11054–11060. 11 indexed citations
16.
Colaert, Niklaas, Francis Impens, Petra Van Damme, et al.. (2012). The Online Protein Processing Resource (TOPPR): a database and analysis platform for protein processing events. Nucleic Acids Research. 41(D1). D333–D337. 15 indexed citations
17.
Côté, Richard G., Johannes Griss, José A. Dianes, et al.. (2012). The PRoteomics IDEntification (PRIDE) Converter 2 Framework: An Improved Suite of Tools to Facilitate Data Submission to the PRIDE Database and the ProteomeXchange Consortium. Molecular & Cellular Proteomics. 11(12). 1682–1689. 93 indexed citations
18.
Hulstaert, Niels, et al.. (2012). Towards a human proteomics atlas. Analytical and Bioanalytical Chemistry. 404(4). 1069–1077. 9 indexed citations
19.
Helsens, Kenny, Michael Mueller, Niels Hulstaert, & Lennart Martens. (2012). Sigpep: Calculating unique peptide signature transition sets in a complete proteome background. PROTEOMICS. 12(8). 1142–1146. 7 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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