Stephan Wickles

1.2k total citations
10 papers, 881 citations indexed

About

Stephan Wickles is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Stephan Wickles has authored 10 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Ecology. Recurrent topics in Stephan Wickles's work include RNA and protein synthesis mechanisms (9 papers), Protein Structure and Dynamics (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Stephan Wickles is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Protein Structure and Dynamics (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Stephan Wickles collaborates with scholars based in Germany, United States and Sweden. Stephan Wickles's co-authors include Roland Beckmann, Otto Berninghausen, S. Franckenberg, Lukas Bischoff, Gunnar von Heijne, Ola B. Nilsson, Daniel N. Wilson, Alexandra Dönhöfer, Eli O. van der Sluis and Magnus Johansson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Stephan Wickles

10 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Wickles Germany 10 733 230 131 88 75 10 881
Bertrand Beckert Germany 19 896 1.2× 240 1.0× 175 1.3× 30 0.3× 54 0.7× 32 1.0k
Kevin S. Wilson United States 13 849 1.2× 231 1.0× 109 0.8× 36 0.4× 61 0.8× 18 965
Aleksandra Mikolajka Germany 10 710 1.0× 162 0.7× 76 0.6× 50 0.6× 190 2.5× 11 953
Reinhard Albrecht Germany 14 542 0.7× 205 0.9× 90 0.7× 126 1.4× 52 0.7× 24 739
Chaille T. Webb Australia 15 714 1.0× 359 1.6× 145 1.1× 69 0.8× 113 1.5× 31 955
Renuka Kudva Sweden 11 570 0.8× 352 1.5× 155 1.2× 85 1.0× 41 0.5× 15 699
Deshmukh N. Gopaul United States 12 1.2k 1.6× 409 1.8× 212 1.6× 135 1.5× 138 1.8× 15 1.5k
Renata Kaminska United Kingdom 19 546 0.7× 393 1.7× 184 1.4× 59 0.7× 115 1.5× 36 981
Jennifer L. Elliott United States 11 550 0.8× 344 1.5× 160 1.2× 27 0.3× 45 0.6× 14 781
Hans Uffe Sperling‐Petersen Denmark 19 1.1k 1.5× 448 1.9× 190 1.5× 87 1.0× 36 0.5× 42 1.2k

Countries citing papers authored by Stephan Wickles

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Wickles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Wickles

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Wickles. A scholar is included among the top collaborators of Stephan Wickles 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 Stephan Wickles. Stephan Wickles 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.
Nilsson, Ola B., Adrian A. Nickson, Stephan Wickles, et al.. (2017). Cotranslational folding of spectrin domains via partially structured states. Nature Structural & Molecular Biology. 24(3). 221–225. 74 indexed citations
2.
Kedrov, Alexej, Stephan Wickles, Álvaro H. Crevenna, et al.. (2016). Structural Dynamics of the YidC:Ribosome Complex during Membrane Protein Biogenesis. Cell Reports. 17(11). 2943–2954. 40 indexed citations
3.
Nilsson, Ola B., Rickard Hedman, Jacopo Marino, et al.. (2015). Cotranslational Protein Folding inside the Ribosome Exit Tunnel. Cell Reports. 12(10). 1533–1540. 187 indexed citations
4.
Bischoff, Lukas, Stephan Wickles, Otto Berninghausen, Eli O. van der Sluis, & Roland Beckmann. (2014). Visualization of a polytopic membrane protein during SecY-mediated membrane insertion. Nature Communications. 5(1). 4103–4103. 57 indexed citations
5.
Wickles, Stephan, Abhishek Singharoy, Jessica Andréani, et al.. (2014). A structural model of the active ribosome-bound membrane protein insertase YidC. eLife. 3. e03035–e03035. 69 indexed citations
6.
Wickles, Stephan, Christoph Leidig, Thomas Becker, et al.. (2013). Automatic post-picking using MAPPOS improves particle image detection from cryo-EM micrographs. Journal of Structural Biology. 182(2). 59–66. 21 indexed citations
8.
Leidig, Christoph, Gert Bange, Jürgen Kopp, et al.. (2012). Structural characterization of a eukaryotic chaperone—the ribosome-associated complex. Nature Structural & Molecular Biology. 20(1). 23–28. 67 indexed citations
9.
Becker, Thomas, S. Franckenberg, Stephan Wickles, et al.. (2012). Structural basis of highly conserved ribosome recycling in eukaryotes and archaea. Nature. 482(7386). 501–506. 186 indexed citations
10.
Dönhöfer, Alexandra, S. Franckenberg, Stephan Wickles, et al.. (2012). Structural basis for TetM-mediated tetracycline resistance. Proceedings of the National Academy of Sciences. 109(42). 16900–16905. 143 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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