Dennis Quentin

2.1k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Dennis Quentin is a scholar working on Endocrinology, Molecular Biology and Genetics. According to data from OpenAlex, Dennis Quentin has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Dennis Quentin's work include Vibrio bacteria research studies (4 papers), Escherichia coli research studies (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Dennis Quentin is often cited by papers focused on Vibrio bacteria research studies (4 papers), Escherichia coli research studies (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Dennis Quentin collaborates with scholars based in Germany, Canada and United States. Dennis Quentin's co-authors include Stefan Raunser, Christos Gatsogiannis, Felipe Merino, Oleg Sitsel, Markus Stabrin, Claudia Antoni, Tanvir R. Shaikh, Daniel Prumbaum, Evelyn Schubert and Daniel Roderer and has published in prestigious journals such as Cell, Molecular Cell and PLoS Pathogens.

In The Last Decade

Dennis Quentin

9 papers receiving 1.2k citations

Hit 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.

SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM

2019 785 citations Thorsten Wagner, Felipe Merino et al. Communications Biology profile →

Peers

Dennis Quentin

MB

ENDOC

GENET

SB

MM

Ansgar Philippsen Switzerland

Joseph Gault United Kingdom

Tillmann Pape United Kingdom

Muyuan Chen United States

Daniel Roderer Germany

Christian Hoffmann Germany

Jean‐François Ménétret United States

Christos G. Savva United Kingdom

C. Keith Cassidy United Kingdom

Alp Kucukelbir United States

Ansgar Philippsen Switzerland

Dennis Quentin

1.5k ×2.2

MB

128 ×0.5

ENDOC

349 ×1.8

GENET

99 ×0.5

SB

65 ×0.5

MM

Citations per year, relative to Dennis Quentin Dennis Quentin (= 1×) peers Ansgar Philippsen

Countries citing papers authored by Dennis Quentin

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Quentin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Quentin

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

All Works

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9 of 9 papers shown

1.

Quentin, Dennis, Jan S. Schuhmacher, B.U. Klink, et al.. (2023). Structural basis of mRNA binding by the human FERRY Rab5 effector complex. Molecular Cell. 83(11). 1856–1871.e9. 9 indexed citations

2.

Quentin, Dennis, et al.. (2022). Structure of a bacterial Rhs effector exported by the type VI secretion system. PLoS Pathogens. 18(1). e1010182–e1010182. 29 indexed citations

3.

Antoni, Claudia, Dennis Quentin, Alexander E. Lang, et al.. (2020). Cryo-EM structure of the fully-loaded asymmetric anthrax lethal toxin in its heptameric pre-pore state. PLoS Pathogens. 16(8). e1008530–e1008530. 16 indexed citations

4.

Ahmad, Shehryar, Kara K. Tsang, Dennis Quentin, et al.. (2020). Structural basis for effector transmembrane domain recognition by type VI secretion system chaperones. eLife. 9. 41 indexed citations

5.

Quentin, Dennis, Oleg Sitsel, Felipe Merino, et al.. (2020). Structural basis of TRPC4 regulation by calmodulin and pharmacological agents. eLife. 9. 49 indexed citations

6.

Wagner, Thorsten, Felipe Merino, Markus Stabrin, et al.. (2019). SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology. 2(1). 218–218. 785 indexed citations breakdown →

7.

Quentin, Dennis, et al.. (2018). Mechanism of loading and translocation of type VI secretion system effector Tse6. Nature Microbiology. 3(10). 1142–1152. 80 indexed citations

8.

Quentin, Dennis & Stefan Raunser. (2018). Electron cryomicroscopy as a powerful tool in biomedical research. Journal of Molecular Medicine. 96(6). 483–493. 11 indexed citations

9.

Whitney, John C., Dennis Quentin, Michele LeRoux, et al.. (2015). An Interbacterial NAD(P)+ Glycohydrolase Toxin Requires Elongation Factor Tu for Delivery to Target Cells. Cell. 163(3). 607–619. 189 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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