Stefan Pfeffer

5.1k total citations
63 papers, 3.2k citations indexed

About

Stefan Pfeffer is a scholar working on Molecular Biology, Cell Biology and Structural Biology. According to data from OpenAlex, Stefan Pfeffer has authored 63 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 20 papers in Cell Biology and 18 papers in Structural Biology. Recurrent topics in Stefan Pfeffer's work include RNA and protein synthesis mechanisms (18 papers), Advanced Electron Microscopy Techniques and Applications (18 papers) and RNA modifications and cancer (15 papers). Stefan Pfeffer is often cited by papers focused on RNA and protein synthesis mechanisms (18 papers), Advanced Electron Microscopy Techniques and Applications (18 papers) and RNA modifications and cancer (15 papers). Stefan Pfeffer collaborates with scholars based in Germany, United States and Netherlands. Stefan Pfeffer's co-authors include Friedrich Förster, Jürgen M. Plitzko, Miroslava Schaffer, Richard Zimmermann, Wolfgang Baumeister, Julia Mahamid, Luis Kuhn Cuellar, Benjamin D. Engel, Radostin Danev and Thomas Hrabe and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Stefan Pfeffer

60 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Pfeffer Germany 30 2.3k 854 850 375 264 63 3.2k
Florian Beck Germany 31 3.0k 1.3× 996 1.2× 1.0k 1.2× 415 1.1× 262 1.0× 61 4.1k
Lori A. Passmore United Kingdom 37 3.4k 1.5× 682 0.8× 564 0.7× 375 1.0× 322 1.2× 68 4.4k
William J. Rice United States 34 2.6k 1.1× 529 0.6× 435 0.5× 268 0.7× 321 1.2× 88 3.9k
Benjamin D. Engel Germany 35 2.9k 1.2× 850 1.0× 872 1.0× 367 1.0× 656 2.5× 55 3.9k
Stephan Nickell Germany 24 1.8k 0.8× 785 0.9× 615 0.7× 332 0.9× 204 0.8× 31 2.7k
Jacqueline L.S. Milne United States 30 1.8k 0.8× 983 1.2× 458 0.5× 451 1.2× 142 0.5× 40 3.3k
Andreas Hoenger United States 40 3.2k 1.4× 670 0.8× 2.4k 2.8× 212 0.6× 361 1.4× 99 4.9k
Felipe Merino Germany 23 1.4k 0.6× 364 0.4× 440 0.5× 117 0.3× 185 0.7× 32 2.2k
Karsten Richter Germany 24 1.7k 0.8× 388 0.5× 339 0.4× 148 0.4× 225 0.9× 60 2.5k
Terence Wagenknecht United States 42 3.2k 1.4× 908 1.1× 286 0.3× 376 1.0× 234 0.9× 86 4.1k

Countries citing papers authored by Stefan Pfeffer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Pfeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Pfeffer

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Pfeffer. A scholar is included among the top collaborators of Stefan Pfeffer 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 Pfeffer. Stefan Pfeffer 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.
Vermeulen, Bram J. A., et al.. (2025). Structural insights into the interplay between microtubule polymerases, γ-tubulin complexes and their receptors. Nature Communications. 16(1). 402–402. 1 indexed citations
2.
Vermeulen, Bram J. A., Qi Gao, Annett Neuner, et al.. (2025). Conserved function of the HAUS6 calponin homology domain in anchoring augmin for microtubule branching. Nature Communications. 16(1). 7845–7845.
3.
Pfeffer, Stefan, et al.. (2024). Virtual Ergonomics - Ergotyping in virtual environments. AHFE international. 157.
4.
Gao, Qi, et al.. (2024). The structure of the γ‐TuRC at the microtubule minus end – not just one solution. BioEssays. 46(9). e2400117–e2400117. 2 indexed citations
5.
Wöcke, Albert, et al.. (2023). Social protest action, stakeholder management, and risk: Managing the impact of service delivery protests in South Africa. Business and Society Review. 128(3). 436–458. 1 indexed citations
6.
Groh, Carina, Per Haberkant, Frank Stein, et al.. (2023). Mitochondrial dysfunction rapidly modulates the abundance and thermal stability of cellular proteins. Life Science Alliance. 6(6). e202201805–e202201805. 9 indexed citations
7.
Župa, Erik, Annett Neuner, Thomas Hoffmann, et al.. (2022). The augmin complex architecture reveals structural insights into microtubule branching. Nature Communications. 13(1). 5635–5635. 15 indexed citations
8.
Župa, Erik, et al.. (2022). Modular assembly of the principal microtubule nucleator γ-TuRC. Nature Communications. 13(1). 473–473. 31 indexed citations
9.
Waltz, Florent, Thalia Salinas‐Giegé, Heddy Soufari, et al.. (2021). How to build a ribosome from RNA fragments in Chlamydomonas mitochondria. Nature Communications. 12(1). 7176–7176. 35 indexed citations
10.
Neuner, Annett, Erik Župa, Peng Liu, et al.. (2021). Reconstitution of the recombinant human γ-tubulin ring complex. Open Biology. 11(2). 200325–200325. 13 indexed citations
11.
Zhou, Ye, Panagiotis L. Kastritis, Jonathan Bouvette, et al.. (2020). Structural impact of K63 ubiquitin on yeast translocating ribosomes under oxidative stress. Proceedings of the National Academy of Sciences. 117(36). 22157–22166. 22 indexed citations
12.
McDowell, Melanie A., Francesco Fiorentino, Shahid Mehmood, et al.. (2020). Structural Basis of Tail-Anchored Membrane Protein Biogenesis by the GET Insertase Complex. Molecular Cell. 80(1). 72–86.e7. 73 indexed citations
13.
Župa, Erik, et al.. (2020). The cryo-EM structure of a γ-TuSC elucidates architecture and regulation of minimal microtubule nucleation systems. Nature Communications. 11(1). 5705–5705. 8 indexed citations
14.
Paternoga, Helge, et al.. (2020). Mimicry of Canonical Translation Elongation Underlies Alanine Tail Synthesis in RQC. Molecular Cell. 81(1). 104–114.e6. 31 indexed citations
15.
Schaffer, Miroslava, Stefan Pfeffer, Julia Mahamid, et al.. (2019). A cryo-FIB lift-out technique enables molecular-resolution cryo-ET within native Caenorhabditis elegans tissue. Nature Methods. 16(8). 757–762. 170 indexed citations
16.
Braunger, Katharina, Stefan Pfeffer, Shiteshu Shrimal, et al.. (2018). Structural basis for coupling protein transport and N-glycosylation at the mammalian endoplasmic reticulum. Science. 360(6385). 215–219. 161 indexed citations
17.
Delarue, Morgan, Gregory Brittingham, Stefan Pfeffer, et al.. (2018). mTORC1 Controls Phase Separation and the Biophysical Properties of the Cytoplasm by Tuning Crowding. Cell. 174(2). 338–349.e20. 299 indexed citations
18.
Pfeffer, Stefan, et al.. (2017). Structure of the Human Mitochondrial Ribosome Studied In Situ by Cryoelectron Tomography. Structure. 25(10). 1574–1581.e2. 72 indexed citations
19.
Mahamid, Julia, Stefan Pfeffer, Miroslava Schaffer, et al.. (2016). Visualizing the molecular sociology at the HeLa cell nuclear periphery. Science. 351(6276). 969–972. 402 indexed citations
20.
Chen, Yuxiang, Stefan Pfeffer, José‐Jesús Fernández, Carlos Óscar S. Sorzano, & Friedrich Förster. (2014). Autofocused 3D Classification of Cryoelectron Subtomograms. Structure. 22(10). 1528–1537. 38 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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