Nils Kurzawa

3.0k total citations
22 papers, 1.4k citations indexed

About

Nils Kurzawa is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Nils Kurzawa has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Spectroscopy and 5 papers in Genetics. Recurrent topics in Nils Kurzawa's work include Advanced Proteomics Techniques and Applications (10 papers), Protein Structure and Dynamics (6 papers) and RNA and protein synthesis mechanisms (6 papers). Nils Kurzawa is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Protein Structure and Dynamics (6 papers) and RNA and protein synthesis mechanisms (6 papers). Nils Kurzawa collaborates with scholars based in Germany, United Kingdom and Spain. Nils Kurzawa's co-authors include Mikhail M. Savitski, Dominic Helm, André Mateus, Marcus Bantscheff, Isabelle Becher, Frank Stein, Athanasios Typas, Sindhuja Sridharan, Wolfgang Huber and Holger Franken and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Nils Kurzawa

21 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nils Kurzawa Germany 17 1.1k 432 184 126 96 22 1.4k
Maria Fälth Savitski Germany 8 1.2k 1.0× 461 1.1× 156 0.8× 178 1.4× 72 0.8× 10 1.5k
Isabelle Becher Germany 16 1.2k 1.0× 659 1.5× 157 0.9× 108 0.9× 52 0.5× 22 1.5k
Toby Mathieson Germany 10 1.2k 1.0× 630 1.5× 153 0.8× 93 0.7× 55 0.6× 12 1.5k
Carola Doce Germany 7 915 0.8× 546 1.3× 130 0.7× 160 1.3× 43 0.4× 7 1.2k
Susan Klaeger Germany 15 1.2k 1.0× 471 1.1× 237 1.3× 170 1.3× 40 0.4× 30 1.6k
Kevin Drew United States 19 1.9k 1.7× 190 0.4× 160 0.9× 87 0.7× 169 1.8× 29 2.3k
Holger Franken Germany 8 1.6k 1.4× 660 1.5× 219 1.2× 253 2.0× 67 0.7× 9 2.1k
Robyn M. Kaake United States 20 904 0.8× 297 0.7× 263 1.4× 37 0.3× 77 0.8× 28 1.3k
Zhen-Yuan Lin United States 6 1.2k 1.0× 194 0.4× 422 2.3× 71 0.6× 71 0.7× 8 1.4k
Ulrich Weininger Germany 25 1.2k 1.1× 270 0.6× 158 0.9× 71 0.6× 104 1.1× 74 1.6k

Countries citing papers authored by Nils Kurzawa

Since Specialization
Citations

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

Fields of papers citing papers by Nils Kurzawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Kurzawa

This figure shows the co-authorship network connecting the top 25 collaborators of Nils Kurzawa. A scholar is included among the top collaborators of Nils Kurzawa 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 Nils Kurzawa. Nils Kurzawa 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.
Kurzawa, Nils, Matthias Stahl, Elena Kunold, et al.. (2023). Deep thermal profiling for detection of functional proteoform groups. Nature Chemical Biology. 19(8). 962–971. 23 indexed citations
2.
Sridharan, Sindhuja, Nils Kurzawa, Clément M. Potel, et al.. (2022). Systematic discovery of biomolecular condensate-specific protein phosphorylation. Nature Chemical Biology. 18(10). 1104–1114. 53 indexed citations
3.
Mateus, André, Nils Kurzawa, Jessica Perrin, Giovanna Bergamini, & Mikhail M. Savitski. (2021). Drug Target Identification in Tissues by Thermal Proteome Profiling. The Annual Review of Pharmacology and Toxicology. 62(1). 465–482. 46 indexed citations
4.
Kalxdorf, Mathias, Isabelle Becher, Nils Kurzawa, et al.. (2021). Cell surface thermal proteome profiling tracks perturbations and drug targets on the plasma membrane. Nature Methods. 18(1). 84–91. 67 indexed citations
5.
Mateus, André, Malay B. Shah, Johannes F. Hevler, et al.. (2021). Transcriptional and Post-Transcriptional Polar Effects in Bacterial Gene Deletion Libraries. mSystems. 6(5). e0081321–e0081321. 13 indexed citations
6.
Quintero, Andrés, Daniel Hübschmann, Nils Kurzawa, et al.. (2020). ShinyButchR: Interactive NMF-based decomposition workflow of genome-scale datasets. Biology Methods and Protocols. 5(1). bpaa022–bpaa022. 9 indexed citations
7.
Kurzawa, Nils, Isabelle Becher, Sindhuja Sridharan, et al.. (2020). A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles. Nature Communications. 11(1). 5783–5783. 32 indexed citations
8.
Kurzawa, Nils, André Mateus, & Mikhail M. Savitski. (2020). Rtpca: an R package for differential thermal proximity coaggregation analysis. Bioinformatics. 37(3). 431–433. 17 indexed citations
9.
Mateus, André, Johannes F. Hevler, Jacob Bobonis, et al.. (2020). The functional proteome landscape of Escherichia coli. Nature. 588(7838). 473–478. 72 indexed citations
10.
Helm, Dominic, Stephanie Heinzlmeir, Jeremy E. Chojnacki, et al.. (2020). Dissecting the sequence determinants for dephosphorylation by the catalytic subunits of phosphatases PP1 and PP2A. Nature Communications. 11(1). 3583–3583. 47 indexed citations
11.
Mateus, André, Nils Kurzawa, Isabelle Becher, et al.. (2020). Thermal proteome profiling for interrogating protein interactions. Molecular Systems Biology. 16(3). e9232–e9232. 154 indexed citations
12.
Rettel, Mandy, Sindhuja Sridharan, Dominic Helm, et al.. (2020). Aggregation and disaggregation features of the human proteome. Molecular Systems Biology. 16(10). e9500–e9500. 23 indexed citations
13.
Sridharan, Sindhuja, Nils Kurzawa, Thilo Werner, et al.. (2019). Proteome-wide solubility and thermal stability profiling reveals distinct regulatory roles for ATP. Nature Communications. 10(1). 1155–1155. 176 indexed citations
14.
Childs, Dorothee, Karsten Bach, Holger Franken, et al.. (2019). Nonparametric Analysis of Thermal Proteome Profiles Reveals Novel Drug-binding Proteins*. Molecular & Cellular Proteomics. 18(12). 2506–2515. 65 indexed citations
15.
Mathieson, Toby, Holger Franken, Jan Kosiński, et al.. (2018). Systematic analysis of protein turnover in primary cells. Nature Communications. 9(1). 689–689. 250 indexed citations
16.
Becher, Isabelle, Amparo Andrés‐Pons, Natalie Romanov, et al.. (2018). Pervasive Protein Thermal Stability Variation during the Cell Cycle. Cell. 173(6). 1495–1507.e18. 156 indexed citations
17.
Mateus, André, Jacob Bobonis, Nils Kurzawa, et al.. (2018). Thermal proteome profiling in bacteria: probing protein state in vivo. Molecular Systems Biology. 14(7). e8242–e8242. 125 indexed citations
18.
Kurzawa, Nils, et al.. (2016). A comprehensive comparison of tools for differential ChIP-seq analysis. Briefings in Bioinformatics. 17(6). bbv110–bbv110. 69 indexed citations
19.
Kurzawa, Nils, Christopher Summerfield, & Rafał Bogacz. (2016). Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making. Neural Computation. 29(2). 368–393. 1 indexed citations
20.
Kurzawa, Nils, et al.. (2015). MapMyFlu: visualizing spatio-temporal relationships between related influenza sequences. Nucleic Acids Research. 43(W1). W547–W551. 3 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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