Sebastian Geibel

1.2k total citations
19 papers, 847 citations indexed

About

Sebastian Geibel is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Sebastian Geibel has authored 19 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Endocrinology. Recurrent topics in Sebastian Geibel's work include Bacterial Genetics and Biotechnology (7 papers), Escherichia coli research studies (6 papers) and Antibiotic Resistance in Bacteria (4 papers). Sebastian Geibel is often cited by papers focused on Bacterial Genetics and Biotechnology (7 papers), Escherichia coli research studies (6 papers) and Antibiotic Resistance in Bacteria (4 papers). Sebastian Geibel collaborates with scholars based in Germany, United Kingdom and Spain. Sebastian Geibel's co-authors include Gabriel Waksman, Scott J. Hultgren, Benjamin Mielich‐Süss, Daniel López, Óscar Llorca, Ángel Rivera-Calzada, James Lillington, Ágnes Fekete, Johannes Schneider and Gudrun Koch and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sebastian Geibel

19 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Geibel Germany 13 470 252 222 175 158 19 847
Julien R. C. Bergeron United Kingdom 18 459 1.0× 354 1.4× 171 0.8× 285 1.6× 142 0.9× 32 964
Anindya S. Ghosh India 17 499 1.1× 351 1.4× 176 0.8× 129 0.7× 426 2.7× 59 1.0k
Nadine S. Henderson United States 15 433 0.9× 250 1.0× 245 1.1× 88 0.5× 61 0.4× 19 781
Anthony Scott-Tucker United Kingdom 16 505 1.1× 324 1.3× 405 1.8× 199 1.1× 147 0.9× 24 1.2k
Manuel Pazos United Kingdom 15 387 0.8× 375 1.5× 150 0.7× 120 0.7× 167 1.1× 20 722
Wendy W. K. Mok United States 14 537 1.1× 292 1.2× 146 0.7× 103 0.6× 267 1.7× 28 899
Laura M. Faure France 7 437 0.9× 370 1.5× 243 1.1× 130 0.7× 193 1.2× 11 811
Gilles Phan France 16 405 0.9× 288 1.1× 183 0.8× 58 0.3× 268 1.7× 30 786
Ravi K. Lokareddy United States 19 480 1.0× 164 0.7× 139 0.6× 188 1.1× 56 0.4× 35 886
C. Hal Jones United States 13 563 1.2× 315 1.3× 362 1.6× 90 0.5× 70 0.4× 15 1.0k

Countries citing papers authored by Sebastian Geibel

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Geibel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Geibel

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

All Works

19 of 19 papers shown
1.
Geibel, Sebastian, et al.. (2023). Mycobacterial type VII secretion systems. Biological Chemistry. 404(7). 691–702. 6 indexed citations
2.
Weise, Christoph, et al.. (2021). Helix Bundle Domain of Primase RepB′ Is Required for Dinucleotide Formation and Extension. ACS Omega. 6(43). 28903–28911. 1 indexed citations
3.
Rivera-Calzada, Ángel, et al.. (2021). Type VII secretion systems: structure, functions and transport models. Nature Reviews Microbiology. 19(9). 567–584. 59 indexed citations
4.
Mielich‐Süss, Benjamin, et al.. (2020). Substrate Interaction with the EssC Coupling Protein of the Type VIIb Secretion System. Journal of Bacteriology. 202(7). 15 indexed citations
5.
Schlösser, Andreas, et al.. (2019). An extracellular domain of the EsaA membrane component of the type VIIb secretion system: expression, purification and crystallization. Acta Crystallographica Section F Structural Biology Communications. 75(12). 725–730. 1 indexed citations
6.
Rivera-Calzada, Ángel, Gianluca Degliesposti, Mark Skehel, et al.. (2019). Architecture of the mycobacterial type VII secretion system. Nature. 576(7786). 321–325. 82 indexed citations
7.
Mielich‐Süss, Benjamin, Tobias Hertlein, Gabriella Marincola, et al.. (2017). Flotillin scaffold activity contributes to type VII secretion system assembly in Staphylococcus aureus. PLoS Pathogens. 13(11). e1006728–e1006728. 30 indexed citations
8.
García‐Fernández, Esther, Gudrun Koch, Ágnes Fekete, et al.. (2017). Membrane Microdomain Disassembly Inhibits MRSA Antibiotic Resistance. Cell. 171(6). 1354–1367.e20. 177 indexed citations
9.
Geibel, Sebastian, et al.. (2015). Structural and biophysical investigation of the interaction of a mutant Grb2 SH2 domain (W121G) with its cognate phosphopeptide. Protein Science. 25(3). 627–637. 9 indexed citations
10.
Lillington, James, Sebastian Geibel, & Gabriel Waksman. (2014). Reprint of “Biogenesis and adhesion of type 1 and P pili”. Biochimica et Biophysica Acta (BBA) - General Subjects. 1850(3). 554–564. 9 indexed citations
11.
Lillington, James, Sebastian Geibel, & Gabriel Waksman. (2014). Biogenesis and adhesion of type 1 and P pili. Biochimica et Biophysica Acta (BBA) - General Subjects. 1840(9). 2783–2793. 53 indexed citations
12.
Farabella, Irene, Nadine S. Henderson, Sebastian Geibel, et al.. (2014). Allosteric signalling in the outer membrane translocation domain of PapC usher. eLife. 3. 13 indexed citations
13.
Geibel, Sebastian, Erik Procko, Scott J. Hultgren, David Baker, & Gabriel Waksman. (2013). Structural and energetic basis of folded-protein transport by the FimD usher. Nature. 496(7444). 243–246. 77 indexed citations
14.
Geibel, Sebastian & Gabriel Waksman. (2013). The molecular dissection of the chaperone–usher pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(8). 1559–1567. 47 indexed citations
15.
Rêgo, Ana Toste, Jeremiah G. Johnson, Sebastian Geibel, et al.. (2012). Crystal structure of the MrkD1P receptor binding domain of Klebsiella pneumoniae and identification of the human collagen V binding interface. Molecular Microbiology. 86(4). 882–893. 21 indexed citations
16.
Geibel, Sebastian & Gabriel Waksman. (2011). Crystallography and Electron Microscopy of Chaperone/Usher Pilus Systems. Advances in experimental medicine and biology. 715. 159–174. 8 indexed citations
17.
Phan, Gilles, Han Remaut, Tao Wang, et al.. (2011). Crystal structure of the FimD usher bound to its cognate FimC–FimH substrate. Nature. 474(7349). 49–53. 137 indexed citations
18.
Geibel, Sebastian, et al.. (2009). Structure and function of primase RepB′ encoded by broad-host-range plasmid RSF1010 that replicates exclusively in leading-strand mode. Proceedings of the National Academy of Sciences. 106(19). 7810–7815. 33 indexed citations
19.
Keller, Sandro, et al.. (2005). A Critical Reassessment of Penetratin Translocation Across Lipid Membranes. Biophysical Journal. 89(4). 2513–2521. 69 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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