Stefan Becker

22.1k total citations · 6 hit papers
357 papers, 16.3k citations indexed

About

Stefan Becker is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Stefan Becker has authored 357 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Molecular Biology, 120 papers in Spectroscopy and 76 papers in Materials Chemistry. Recurrent topics in Stefan Becker's work include Advanced NMR Techniques and Applications (100 papers), Protein Structure and Dynamics (79 papers) and Enzyme Structure and Function (36 papers). Stefan Becker is often cited by papers focused on Advanced NMR Techniques and Applications (100 papers), Protein Structure and Dynamics (79 papers) and Enzyme Structure and Function (36 papers). Stefan Becker collaborates with scholars based in Germany, United States and France. Stefan Becker's co-authors include Karin Giller, Christian Griesinger, Markus Zweckstetter, Marc Baldus, Adam Lange, Bernd Groner, Christoph W. Müller, Henrike Heise, Dietmar Riedel and Bert L. de Groot and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Stefan Becker

348 papers receiving 16.1k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recognition Dynamics Up to Microseconds Revealed from an RDC-Derived Ubiquitin Ensemble in Solution

2008 839 citations Korvin F. A. Walter, Stefan Becker et al. Science profile →
Three-dimensional structure of the Stat3β homodimer bound to DNA

1998 659 citations Stefan Becker et al. profile →
Molecular-level secondary structure, polymorphism, and dynamics of full-length α-synuclein fibrils studied by solid-state NMR

2005 535 citations Stefan Becker et al. Proceedings of the National Academy of Sciences profile →
Atomic model of the type III secretion system needle

2012 281 citations Karin Giller, Christian Griesinger et al. profile →
Laser-driven soft-X-ray undulator source

2009 270 citations Stefan Becker et al. profile →
Generation of Stable, Low-Divergence Electron Beams by Laser-Wakefield Acceleration in a Steady-State-Flow Gas Cell

2008 171 citations Stefan Becker et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Becker Germany	65	8.3k	3.8k	3.0k	1.8k	1.6k	357	16.3k
Ayyalusamy Ramamoorthy United States	86	14.4k 1.7×	5.5k 1.5×	4.0k 1.3×	6.2k 3.4×	750 0.5×	426	26.6k
Brian D. Ross United States	80	6.4k 0.8×	3.3k 0.9×	2.2k 0.7×	1.7k 1.0×	11.7k 7.5×	462	26.6k
Beat H. Meier Switzerland	68	8.5k 1.0×	11.5k 3.0×	6.8k 2.2×	3.3k 1.8×	2.6k 1.7×	417	23.4k
Claudio Luchinat Italy	77	12.1k 1.5×	7.0k 1.8×	6.7k 2.2×	1.3k 0.7×	2.6k 1.7×	696	23.7k
Brian D. Sykes Canada	74	19.2k 2.3×	4.6k 1.2×	4.2k 1.4×	1.6k 0.9×	1.6k 1.0×	468	28.5k
Marc Baldus Netherlands	67	4.7k 0.6×	7.2k 1.9×	5.2k 1.7×	882 0.5×	1.2k 0.8×	251	13.6k
John Cavanagh United Kingdom	53	5.4k 0.6×	1.7k 0.4×	1.0k 0.3×	894 0.5×	882 0.6×	286	11.9k
Daniel Raftery United States	65	8.3k 1.0×	2.9k 0.8×	1.7k 0.6×	1.9k 1.0×	899 0.6×	313	15.8k
Mitsuhiko Ikura Canada	86	22.1k 2.7×	3.2k 0.8×	4.0k 1.3×	1.1k 0.6×	1.1k 0.7×	305	29.8k
Kevin M. Brindle United Kingdom	63	6.4k 0.8×	4.9k 1.3×	2.5k 0.8×	1.2k 0.7×	5.1k 3.3×	269	16.5k

Countries citing papers authored by Stefan Becker

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Becker

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Russo, L., Karin Giller, Stefan Becker, et al.. (2025). Direct detection of an NH-π hydrogen bond in an intrinsically disordered peptide. Nature Communications. 16(1). 10231–10231.

Leidner, Florian, Ashok K. Rout, Claudia Schmidt, et al.. (2024). Determinants of chemoselectivity in ubiquitination by the J2 family of ubiquitin-conjugating enzymes. The EMBO Journal. 43(24). 6705–6739. 3 indexed citations

Soh, Wai Tuck, Monika Raabe, Ralf Pflanz, et al.. (2024). Protein degradation by human 20S proteasomes elucidates the interplay between peptide hydrolysis and splicing. Nature Communications. 15(1). 1147–1147. 11 indexed citations

Strohäker, Timo, Lars Tatenhorst, Lucas Caldi Gomes, et al.. (2023). Alpha‐synuclein fibrils amplified from multiple system atrophy and Parkinson's disease patient brain spread after intracerebral injection into mouse brain. Brain Pathology. 33(5). e13196–e13196. 8 indexed citations

Tatenhorst, Lars, Lucas Caldi Gomes, Shuyu Zhang, et al.. (2021). Brain iron enrichment attenuates α‐synuclein spreading after injection of preformed fibrils. Journal of Neurochemistry. 159(3). 554–573. 17 indexed citations

Aliane, A., Laurent Dussopt, L. Rodriguez, et al.. (2020). Design, Simulation and Fabrication of Highly Sensitive Cooled Silicon Bolometers for Millimeter-Wave Detection. Journal of Low Temperature Physics. 199(1-2). 56–64. 1 indexed citations

Aliakbari, Farhang, Hossein Mohammad‐Beigi, Nasrollah Rezaei‐Ghaleh, et al.. (2020). Multiple Protective Roles of Nanoliposome‐Incorporated Baicalein against Alpha‐Synuclein Aggregates. Advanced Functional Materials. 31(7). 22 indexed citations

Erdmann, Philipp S., Michael Engelke, Stefan Becker, et al.. (2020). Tripartite phase separation of two signal effectors with vesicles priming B cell responsiveness. Nature Communications. 11(1). 848–848. 33 indexed citations

Smith, Colin A., Artur Mazur, Ashok K. Rout, et al.. (2019). Enhancing NMR derived ensembles with kinetics on multiple timescales. Journal of Biomolecular NMR. 74(1). 27–43. 10 indexed citations

10.

Trigo‐Mouriño, Pablo, Thomas Thestrup, Oliver Griesbeck, Christian Griesinger, & Stefan Becker. (2019). Dynamic tuning of FRET in a green fluorescent protein biosensor. Science Advances. 5(8). eaaw4988–eaaw4988. 25 indexed citations

11.

Sabo, T. Michael, Vytautas Gapsys, Korvin F. A. Walter, et al.. (2018). Utilizing dipole-dipole cross-correlated relaxation for the measurement of angles between pairs of opposing CαHα-CαHα bonds in anti-parallel β-sheets. Methods. 138-139. 85–92. 3 indexed citations

12.

Aliakbari, Farhang, Hossein Mohammad‐Beigi, Nasrollah Rezaei‐Ghaleh, et al.. (2018). The potential of zwitterionic nanoliposomes against neurotoxic alpha-synuclein aggregates in Parkinson's Disease. Nanoscale. 10(19). 9174–9185. 34 indexed citations

13.

Pratihar, Supriya, T. Michael Sabo, David Ban, et al.. (2016). Kinetics of the Antibody Recognition Site in the Third IgG‐Binding Domain of Protein G. Angewandte Chemie International Edition. 55(33). 9567–9570. 22 indexed citations

14.

Pratihar, Supriya, T. Michael Sabo, David Ban, et al.. (2016). Kinetics of the Antibody Recognition Site in the Third IgG‐Binding Domain of Protein G. Angewandte Chemie. 128(33). 9719–9722. 5 indexed citations

15.

Jaremko, Łukasz, Mariusz Jaremko, Karin Giller, Stefan Becker, & Markus Zweckstetter. (2014). Structure of the Mitochondrial Translocator Protein in Complex with a Diagnostic Ligand. Science. 343(6177). 1363–1366. 205 indexed citations

16.

Schneider, Cornelius, ShengQi Xiang, Francesca Munari, et al.. (2014). Cooperative structure of the heterotrimeric pre-mRNA retention and splicing complex. Nature Structural & Molecular Biology. 21(10). 911–918. 27 indexed citations

17.

Thestrup, Thomas, Ingo Bartholomäus, Marsilius Mues, et al.. (2014). Optimized ratiometric calcium sensors for functional in vivo imaging of neurons and T lymphocytes. Nature Methods. 11(2). 175–182. 280 indexed citations

18.

Taschenberger, Grit, Jasper Akerboom, Pauline Wales, et al.. (2013). β‐synuclein aggregates and induces neurodegeneration in dopaminergic neurons. Annals of Neurology. 74(1). 109–118. 54 indexed citations

19.

Bayrhuber, Monika, Thomas Meins, Michael Habeck, et al.. (2008). Structure of the human voltage-dependent anion channel. Proceedings of the National Academy of Sciences. 105(40). 15370–15375. 470 indexed citations

20.

Egbert, A., et al.. (2004). Compact electron-based EUV source for at-wavelength metrology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5448. 693–693. 8 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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