Patrick Linder

12.1k total citations · 4 hit papers
101 papers, 9.3k citations indexed

About

Patrick Linder is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Patrick Linder has authored 101 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 23 papers in Genetics and 11 papers in Ecology. Recurrent topics in Patrick Linder's work include RNA and protein synthesis mechanisms (66 papers), RNA Research and Splicing (44 papers) and RNA modifications and cancer (32 papers). Patrick Linder is often cited by papers focused on RNA and protein synthesis mechanisms (66 papers), RNA Research and Splicing (44 papers) and RNA modifications and cancer (32 papers). Patrick Linder collaborates with scholars based in Switzerland, France and United States. Patrick Linder's co-authors include N. Kyle Tanner, Eckhard Jankowsky, Dieter Kressler, Jesús de la Cruz, Stefanie R. Schmid, Sanda Ročak, Josette Banroques, Olivier Cordin, Agathe Stotz and Peter Redder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Patrick Linder

100 papers receiving 9.1k citations

Hit Papers

From unwinding to clamping — the DEAD box RNA helica... 2001 2026 2009 2017 2011 2005 2004 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Linder Switzerland 49 7.9k 1.3k 1.0k 608 606 101 9.3k
David S. Waugh United States 48 5.8k 0.7× 1.8k 1.5× 550 0.5× 448 0.7× 834 1.4× 140 7.7k
Anthony D. Mills United Kingdom 24 6.8k 0.9× 1.5k 1.2× 761 0.8× 279 0.5× 591 1.0× 36 9.5k
Alan J. Kingsman United Kingdom 47 5.2k 0.7× 1.9k 1.5× 1.1k 1.1× 692 1.1× 403 0.7× 122 7.1k
C. Geourjon France 28 3.7k 0.5× 683 0.5× 786 0.8× 449 0.7× 376 0.6× 48 5.6k
Robert J. Crouch United States 41 5.5k 0.7× 1.2k 0.9× 466 0.5× 712 1.2× 668 1.1× 86 6.4k
Kevin S. Johnson United Kingdom 23 6.0k 0.8× 1.0k 0.8× 462 0.5× 406 0.7× 799 1.3× 40 9.1k
Vivek Anantharaman United States 44 4.9k 0.6× 1.4k 1.1× 877 0.9× 541 0.9× 1.1k 1.8× 75 7.2k
John W. Dubendorff United States 7 4.8k 0.6× 1.7k 1.4× 579 0.6× 304 0.5× 794 1.3× 8 6.4k
Roland Contreras Belgium 46 5.3k 0.7× 952 0.8× 874 0.9× 570 0.9× 1.1k 1.8× 153 7.8k
Christopher U.T. Hellen United States 65 12.3k 1.6× 1.0k 0.8× 1.7k 1.7× 1.8k 3.0× 522 0.9× 123 15.3k

Countries citing papers authored by Patrick Linder

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Linder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Linder

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Linder. A scholar is included among the top collaborators of Patrick Linder 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 Patrick Linder. Patrick Linder 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.
Khemici, Vanessa, et al.. (2020). The DEAD-box RNA helicase CshA is required for fatty acid homeostasis in Staphylococcus aureus. PLoS Genetics. 16(7). e1008779–e1008779. 4 indexed citations
2.
Valentini, Martina & Patrick Linder. (2020). Happy Birthday: 30 Years of RNA Helicases. Methods in molecular biology. 2209. 17–34. 19 indexed citations
3.
Redder, Peter, et al.. (2019). Genetic screens reveal novel major and minor players in magnesium homeostasis of Staphylococcus aureus. PLoS Genetics. 15(8). e1008336–e1008336. 19 indexed citations
4.
Prados, Julien, Patrick Linder, & Peter Redder. (2016). TSS-EMOTE, a refined protocol for a more complete and less biased global mapping of transcription start sites in bacterial pathogens. BMC Genomics. 17(1). 849–849. 32 indexed citations
5.
Giraud, Caroline, Stéphane Hausmann, Sylvain Lemeille, et al.. (2015). The C-terminal region of the RNA helicase CshA is required for the interaction with the degradosome and turnover of bulk RNA in the opportunistic pathogen Staphylococcus aureus. RNA Biology. 12(6). 658–674. 47 indexed citations
6.
Ducret, Véréna, et al.. (2015). BiOutils: an interface to connect university laboratories with microbiology classes in schools. FEMS Microbiology Letters. 362(20). fnv171–fnv171. 3 indexed citations
7.
Redder, Peter, Patrice François, Anna‐Rita Corvaglia, et al.. (2012). The CshA DEAD-box RNA helicase is important for quorum sensing control in Staphylococcus aureus. RNA Biology. 10(1). 157–165. 59 indexed citations
8.
Corvaglia, Anna, Patrice François, David Hernández, et al.. (2010). A type III-like restriction endonuclease functions as a major barrier to horizontal gene transfer in clinical Staphylococcus aureus strains. Proceedings of the National Academy of Sciences. 107(26). 11954–11958. 97 indexed citations
9.
Linder, Patrick. (2008). mRNA Export: RNP Remodeling by DEAD-Box Proteins. Current Biology. 18(7). R297–R299. 24 indexed citations
10.
Linder, Patrick. (2007). Translation initiation. ˜The œbiomedical & life sciences collection.. 2007(10). e1001200–e1001200. 1 indexed citations
11.
Linder, Patrick, David Shore, & Michael N. Hall. (2006). Landmark papers in yeast biology. 8 indexed citations
12.
Cordin, Olivier, Josette Banroques, N. Kyle Tanner, & Patrick Linder. (2005). The DEAD-box protein family of RNA helicases. Gene. 367. 17–37. 762 indexed citations breakdown →
13.
Deuring, Renate, et al.. (2004). Belle is a Drosophila DEAD-box protein required for viability and in the germ line. Developmental Biology. 277(1). 92–101. 97 indexed citations
14.
Cordin, Olivier, et al.. (2004). The newly discovered Q motif of DEAD‐box RNA helicases regulates RNA‐binding and helicase activity. The EMBO Journal. 23(13). 2478–2487. 141 indexed citations
15.
Tanner, N. Kyle, et al.. (2003). The Q Motif. Molecular Cell. 11(1). 127–138. 287 indexed citations
16.
Schaper, Sigrid, Micheline Fromont‐Racine, Patrick Linder, et al.. (2001). A yeast homolog of chromatin assembly factor 1 is involved in early ribosome assembly. Current Biology. 11(23). 1885–1890. 43 indexed citations
17.
Linder, Patrick. (2000). DEAD-box proteins. Current Biology. 10(24). R887–R887. 27 indexed citations
18.
Linder, Patrick, Hans‐Peter Vornlocher, John W.B. Hershey, & John E.G. McCarthy. (1999). A systematic nomenclature for new translation initiation factor genes fromS. pombe and other fungi. Yeast. 15(10A). 865–872. 7 indexed citations
19.
Daugeron, Marie‐Claire & Patrick Linder. (1998). Dbp7p, a putative ATP-dependent RNA helicase from Saccharomyces cerevisiae, is required for 60S ribosomal subunit assembly. RNA. 4(5). 566–581. 86 indexed citations
20.
Linder, Patrick & Annik Prat. (1990). Baker's yeast, the new work horse in protein synthesis studies: Analyzing eukaryotic translation initiation. BioEssays. 12(11). 519–526. 30 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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