David Kentner

756 total citations
10 papers, 608 citations indexed

About

David Kentner is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, David Kentner has authored 10 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Genetics and 1 paper in Pharmacology. Recurrent topics in David Kentner's work include Bacterial Genetics and Biotechnology (6 papers), Protein Structure and Dynamics (3 papers) and Virus-based gene therapy research (2 papers). David Kentner is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), Protein Structure and Dynamics (3 papers) and Virus-based gene therapy research (2 papers). David Kentner collaborates with scholars based in Germany, Switzerland and United States. David Kentner's co-authors include Victor Sourjik, Markus Hildenbeutel, Dirk Lebiedz, Michaela Ruttorf, Giuseppe Martano, Dirk Bumann, Patrick Kiefer, Nathanaël Delmotte, Julia A. Vorholt and Dušan Bartsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

David Kentner

10 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kentner Germany 9 471 278 69 65 58 10 608
Abiola M. Pollard United States 9 393 0.8× 239 0.9× 71 1.0× 60 0.9× 39 0.7× 9 614
Mingshan Li United States 11 700 1.5× 370 1.3× 71 1.0× 136 2.1× 41 0.7× 17 848
Gabriela Gonzalez-Bonet United States 4 271 0.6× 206 0.7× 79 1.1× 53 0.8× 22 0.4× 4 398
Ling Chin Hwang United Kingdom 14 600 1.3× 312 1.1× 173 2.5× 37 0.6× 51 0.9× 21 851
Mohit Kumar United States 15 587 1.2× 125 0.4× 71 1.0× 27 0.4× 28 0.5× 33 977
Günes Bozkurt United States 10 689 1.5× 168 0.6× 56 0.8× 32 0.5× 56 1.0× 10 911
Alexander N. Barnakov United States 10 434 0.9× 151 0.5× 31 0.4× 81 1.2× 18 0.3× 17 524
Ashley L. Nord France 12 312 0.7× 83 0.3× 59 0.9× 62 1.0× 20 0.3× 25 443
Naoya Terahara Japan 15 394 0.8× 230 0.8× 108 1.6× 134 2.1× 50 0.9× 20 572
Valérie Prima France 10 528 1.1× 84 0.3× 52 0.8× 95 1.5× 25 0.4× 12 615

Countries citing papers authored by David Kentner

Since Specialization
Citations

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

Fields of papers citing papers by David Kentner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kentner

This figure shows the co-authorship network connecting the top 25 collaborators of David Kentner. A scholar is included among the top collaborators of David Kentner 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 David Kentner. David Kentner 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.
Martano, Giuseppe, Nathanaël Delmotte, Patrick Kiefer, et al.. (2014). Fast sampling method for mammalian cell metabolic analyses using liquid chromatography–mass spectrometry. Nature Protocols. 10(1). 1–11. 48 indexed citations
2.
Kentner, David, Giuseppe Martano, Morgane Callon, et al.. (2014). Shigella reroutes host cell central metabolism to obtain high-flux nutrient supply for vigorous intracellular growth. Proceedings of the National Academy of Sciences. 111(27). 9929–9934. 65 indexed citations
3.
Schönig, Kai, David Kentner, Manfred Gossen, et al.. (2010). Development of a BAC vector for integration-independent and tight regulation of transgenes in rodents via the Tet system. Transgenic Research. 20(3). 709–720. 6 indexed citations
4.
Kentner, David & Victor Sourjik. (2010). Use of Fluorescence Microscopy to Study Intracellular Signaling in Bacteria. Annual Review of Microbiology. 64(1). 373–390. 32 indexed citations
5.
Kentner, David & Victor Sourjik. (2009). Dynamic map of protein interactions in the Escherichia coli chemotaxis pathway. Molecular Systems Biology. 5(1). 238–238. 70 indexed citations
6.
Weidenfeld, Ina, Manfred Gossen, Rainer Löw, et al.. (2009). Inducible expression of coding and inhibitory RNAs from retargetable genomic loci. Nucleic Acids Research. 37(7). e50–e50. 63 indexed citations
7.
Ruttorf, Michaela, et al.. (2008). Protein exchange dynamics at chemoreceptor clusters in Escherichia coli. Proceedings of the National Academy of Sciences. 105(17). 6403–6408. 71 indexed citations
8.
Kentner, David, et al.. (2007). Positioning of chemosensory clusters in E. coli and its relation to cell division. The EMBO Journal. 26(6). 1615–1623. 85 indexed citations
9.
Kentner, David, et al.. (2006). Determinants of chemoreceptor cluster formation in Escherichia coli. Molecular Microbiology. 61(2). 407–417. 83 indexed citations
10.
Kentner, David & Victor Sourjik. (2006). Spatial organization of the bacterial chemotaxis system. Current Opinion in Microbiology. 9(6). 619–624. 85 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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