Sander Willems

1.8k total citations
36 papers, 846 citations indexed

About

Sander Willems is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Sander Willems has authored 36 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Spectroscopy and 4 papers in Genetics. Recurrent topics in Sander Willems's work include Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (14 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Sander Willems is often cited by papers focused on Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (14 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Sander Willems collaborates with scholars based in Belgium, Germany and Denmark. Sander Willems's co-authors include Matthias Mann, Dieter Deforce, Eugenia Voytik, Maximilian T. Strauss, Maarten Dhaenens, Isabell Bludau, Laura De Clerck, Patricia Skowronek, Fynn M. Hansen and Özge Karayel and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Sander Willems

35 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sander Willems Belgium 17 642 338 59 44 42 36 846
Wenjing Zhou China 13 708 1.1× 368 1.1× 54 0.9× 54 1.2× 62 1.5× 31 979
Jeremy Carver United States 5 686 1.1× 313 0.9× 53 0.9× 55 1.3× 60 1.4× 6 916
Marcus Hoffmann Germany 14 631 1.0× 209 0.6× 40 0.7× 11 0.3× 31 0.7× 29 811
James H. Bourell United States 15 547 0.9× 169 0.5× 84 1.4× 34 0.8× 143 3.4× 17 1.1k
Anne Gleizes Switzerland 9 581 0.9× 281 0.8× 82 1.4× 19 0.4× 33 0.8× 14 712
Mark R. Condina Australia 16 383 0.6× 202 0.6× 35 0.6× 9 0.2× 80 1.9× 33 663
Graham J. Hughes Switzerland 6 524 0.8× 326 1.0× 74 1.3× 39 0.9× 24 0.6× 8 723
Manuel Bernal Llinares United Kingdom 3 469 0.7× 147 0.4× 46 0.8× 49 1.1× 54 1.3× 4 665
Stoyan Stoychev South Africa 14 345 0.5× 79 0.2× 46 0.8× 48 1.1× 25 0.6× 45 614
Luisa Tonella Switzerland 11 477 0.7× 329 1.0× 52 0.9× 25 0.6× 28 0.7× 13 677

Countries citing papers authored by Sander Willems

Since Specialization
Citations

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

Fields of papers citing papers by Sander Willems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sander Willems

This figure shows the co-authorship network connecting the top 25 collaborators of Sander Willems. A scholar is included among the top collaborators of Sander Willems 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 Sander Willems. Sander Willems 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.
Wallmann, Georg, Patricia Skowronek, Marvin Thielert, et al.. (2025). AlphaDIA enables DIA transfer learning for feature-free proteomics. Nature Biotechnology. 1 indexed citations
2.
Skowronek, Patricia, Georg Wallmann, Maria Wahle, Sander Willems, & Matthias Mann. (2025). An accessible workflow for high-sensitivity proteomics using parallel accumulation–serial fragmentation (PASEF). Nature Protocols. 20(6). 1700–1729. 8 indexed citations
3.
Bernhardt, Oliver M., Sander Willems, Ino D. Karemaker, et al.. (2025). Enhanced Identifications and Quantification Through Retention Time Down-Sampling in Fast-Cycling Diagonal-PASEF Methods. Molecular & Cellular Proteomics. 25(1). 101480–101480.
4.
Strauss, Maximilian T., Isabell Bludau, Wen‐Feng Zeng, et al.. (2024). AlphaPept: a modern and open framework for MS-based proteomics. Nature Communications. 15(1). 2168–2168. 21 indexed citations
5.
Ammar, Constantin, Julia P. Schessner, Sander Willems, André C. Michaelis, & Matthias Mann. (2023). Accurate Label-Free Quantification by directLFQ to Compare Unlimited Numbers of Proteomes. Molecular & Cellular Proteomics. 22(7). 100581–100581. 21 indexed citations
6.
Puyvelde, Bart Van, Simon Daled, Sander Willems, et al.. (2022). A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics. Scientific Data. 9(1). 126–126. 32 indexed citations
7.
Skowronek, Patricia, Marvin Thielert, Eugenia Voytik, et al.. (2022). Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF. Molecular & Cellular Proteomics. 21(9). 100279–100279. 105 indexed citations
8.
Zeng, Wen‐Feng, Xie‐Xuan Zhou, Sander Willems, et al.. (2022). AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics. Nature Communications. 13(1). 7238–7238. 101 indexed citations
9.
Skowronek, Patricia, Markus Lubeck, Georg Wallmann, et al.. (2022). Synchro-PASEF Allows Precursor-Specific Fragment Ion Extraction and Interference Removal in Data-Independent Acquisition. Molecular & Cellular Proteomics. 22(2). 100489–100489. 35 indexed citations
10.
Voytik, Eugenia, Isabell Bludau, Sander Willems, et al.. (2021). AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge. Bioinformatics. 38(3). 849–852. 12 indexed citations
11.
Clerck, Laura De, et al.. (2021). An experimental design to extract more information from MS-based histone studies. Molecular Omics. 17(6). 929–938. 2 indexed citations
12.
Daled, Simon, Sander Willems, Bart Van Puyvelde, et al.. (2021). Histone Sample Preparation for Bottom-Up Mass Spectrometry: A Roadmap to Informed Decisions. Proteomes. 9(2). 17–17. 10 indexed citations
13.
Willems, Sander, Eugenia Voytik, Patricia Skowronek, Maximilian T. Strauss, & Matthias Mann. (2021). AlphaTims: Indexing Trapped Ion Mobility Spectrometry–TOF Data for Fast and Easy Accession and Visualization. Molecular & Cellular Proteomics. 20. 100149–100149. 23 indexed citations
14.
Clerck, Laura De, Jasin Taelman, Mina Popovic, et al.. (2019). Untargeted histone profiling during naive conversion uncovers conserved modification markers between mouse and human. Scientific Reports. 9(1). 17240–17240. 12 indexed citations
15.
Kopczynski, Dominik, Wout Bittremieux, David Bouyssié, et al.. (2019). Proceedings of the EuBIC Winter School 2019. SHILAP Revista de lepidopterología. 22-23. 4–7. 1 indexed citations
16.
Willems, Sander, David Bouyssié, Dieter Deforce, et al.. (2018). Proceedings of the EuBIC developer's meeting 2018. Journal of Proteomics. 187. 25–27. 3 indexed citations
17.
Gansemans, Yannick, et al.. (2018). Forensic tri-allelic SNP genotyping using nanopore sequencing. Forensic Science International Genetics. 38. 204–210. 34 indexed citations
18.
Smits, Katrien, Sander Willems, Katleen Van Steendam, et al.. (2018). Proteins involved in embryo-maternal interaction around the signalling of maternal recognition of pregnancy in the horse. Scientific Reports. 8(1). 5249–5249. 46 indexed citations
19.
Willems, Sander, David Bouyssié, Marie Locard‐Paulet, et al.. (2017). Proceedings of the EuBIC Winter School 2017. Journal of Proteomics. 161. 78–80. 6 indexed citations
20.
Willems, Sander, Maarten Dhaenens, Laura De Clerck, et al.. (2016). Flagging False Positives Following Untargeted LC–MS Characterization of Histone Post-Translational Modification Combinations. Journal of Proteome Research. 16(2). 655–664. 12 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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