Patricia Skowronek

844 total citations
10 papers, 370 citations indexed

About

Patricia Skowronek is a scholar working on Spectroscopy, Molecular Biology and Mechanics of Materials. According to data from OpenAlex, Patricia Skowronek has authored 10 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Spectroscopy, 8 papers in Molecular Biology and 1 paper in Mechanics of Materials. Recurrent topics in Patricia Skowronek's work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Patricia Skowronek is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Patricia Skowronek collaborates with scholars based in Germany, Denmark and United States. Patricia Skowronek's co-authors include Matthias Mann, Marvin Thielert, Florian Meier, Sander Willems, Eugenia Voytik, Maria Wahle, Andreas‐David Brunner, Özge Karayel, Maria C. Tanzer and Fynn M. Hansen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature Methods.

In The Last Decade

Patricia Skowronek

10 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia Skowronek Germany 9 269 246 38 32 25 10 370
Rima Ait-Belkacem France 11 316 1.2× 333 1.4× 24 0.6× 27 0.8× 29 1.2× 18 501
Klára Ščupáková Netherlands 7 246 0.9× 223 0.9× 28 0.7× 28 0.9× 10 0.4× 8 362
Elizabeth C. Randall United States 16 323 1.2× 425 1.7× 69 1.8× 35 1.1× 12 0.5× 20 624
T. Michael Sabo United States 14 305 1.1× 112 0.5× 17 0.4× 29 0.9× 16 0.6× 28 455
Jenny Zhou United States 7 166 0.6× 73 0.3× 10 0.3× 29 0.9× 33 1.3× 16 297
Ekaterina V. Ilgisonis Russia 11 360 1.3× 151 0.6× 34 0.9× 8 0.3× 19 0.8× 48 472
Matthew B. O’Rourke Australia 11 218 0.8× 183 0.7× 55 1.4× 32 1.0× 85 3.4× 28 417
Julia Rechenberger Germany 4 465 1.7× 358 1.5× 22 0.6× 12 0.4× 41 1.6× 6 584
Katja Ovchinnikova Germany 5 248 0.9× 143 0.6× 17 0.4× 31 1.0× 11 0.4× 6 312

Countries citing papers authored by Patricia Skowronek

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Skowronek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Skowronek

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

All Works

10 of 10 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.
Thielert, Marvin, Constantin Ammar, Florian A. Rosenberger, et al.. (2023). Robust dimethyl‐based multiplex‐DIA doubles single‐cell proteome depth via a reference channel. Molecular Systems Biology. 19(9). e11503–e11503. 47 indexed citations
4.
Wahle, Maria, Marvin Thielert, Maximilian Zwiebel, et al.. (2023). IMBAS-MS Discovers Organ-Specific HLA Peptide Patterns in Plasma. Molecular & Cellular Proteomics. 23(1). 100689–100689. 10 indexed citations
5.
Rosenberger, Florian A., Marvin Thielert, Maximilian T. Strauss, et al.. (2023). Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome. Nature Methods. 20(10). 1530–1536. 88 indexed citations
6.
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
7.
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
8.
Skowronek, Patricia & Florian Meier. (2022). High-Throughput Mass Spectrometry-Based Proteomics with dia-PASEF. Methods in molecular biology. 2456. 15–27. 16 indexed citations
9.
Klein, Alexander, Petra Rovó, Yangyang Wang, et al.. (2022). Atomic-resolution chemical characterization of (2x)72-kDa tryptophan synthase via four- and five-dimensional 1 H-detected solid-state NMR. Proceedings of the National Academy of Sciences. 119(4). 37 indexed citations
10.
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

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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