F. Voigts-Hoffmann

1.1k total citations
9 papers, 830 citations indexed

About

F. Voigts-Hoffmann is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, F. Voigts-Hoffmann has authored 9 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Oncology. Recurrent topics in F. Voigts-Hoffmann's work include RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers) and ATP Synthase and ATPases Research (2 papers). F. Voigts-Hoffmann is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers) and ATP Synthase and ATPases Research (2 papers). F. Voigts-Hoffmann collaborates with scholars based in Switzerland, United States and Germany. F. Voigts-Hoffmann's co-authors include Nenad Ban, Marc Leibundgut, Sebastian Klinge, Daniel Boehringer, P. Bieri, Jan P. Erzberger, Alexander Leitner, Ruedi Aebersold, Basil J. Greber and Martin Hengesbach and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

F. Voigts-Hoffmann

9 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Voigts-Hoffmann Switzerland 8 767 81 50 39 36 9 830
Martin Seizl Germany 13 1.2k 1.6× 101 1.2× 32 0.6× 30 0.8× 39 1.1× 15 1.3k
Heena Khatter France 9 643 0.8× 57 0.7× 56 1.1× 36 0.9× 27 0.8× 10 745
Meenakshi K. Doma United States 4 898 1.2× 69 0.9× 41 0.8× 30 0.8× 14 0.4× 6 987
Kristina Döring Germany 9 442 0.6× 73 0.9× 33 0.7× 35 0.9× 58 1.6× 15 525
Annie Mougin France 19 1.1k 1.5× 79 1.0× 85 1.7× 45 1.2× 74 2.1× 26 1.2k
Sergey Bessonov Germany 11 891 1.2× 32 0.4× 27 0.5× 47 1.2× 24 0.7× 14 958
Colin M. Hammond United Kingdom 8 664 0.9× 53 0.7× 58 1.2× 22 0.6× 31 0.9× 10 752
Sushama Michael Germany 5 623 0.8× 52 0.6× 61 1.2× 49 1.3× 60 1.7× 6 758
Kaige Yan China 14 838 1.1× 98 1.2× 79 1.6× 19 0.5× 22 0.6× 24 927
Xavier Manival France 16 600 0.8× 102 1.3× 28 0.6× 19 0.5× 73 2.0× 34 682

Countries citing papers authored by F. Voigts-Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by F. Voigts-Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Voigts-Hoffmann. 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 F. Voigts-Hoffmann. The network helps show where F. Voigts-Hoffmann may publish in the future.

Co-authorship network of co-authors of F. Voigts-Hoffmann

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

All Works

9 of 9 papers shown
1.
Weisser, Melanie, F. Voigts-Hoffmann, Julius Rabl, Marc Leibundgut, & Nenad Ban. (2013). The crystal structure of the eukaryotic 40S ribosomal subunit in complex with eIF1 and eIF1A. Nature Structural & Molecular Biology. 20(8). 1015–1017. 61 indexed citations
2.
Voigts-Hoffmann, F., N. Schmitz, Kuang Shen, et al.. (2013). The Structural Basis of FtsY Recruitment and GTPase Activation by SRP RNA. Molecular Cell. 52(5). 643–654. 42 indexed citations
3.
Greber, Basil J., Daniel Boehringer, Alexander Leitner, et al.. (2013). Architecture of the large subunit of the mammalian mitochondrial ribosome. Nature. 505(7484). 515–519. 183 indexed citations
4.
Klinge, Sebastian, F. Voigts-Hoffmann, Marc Leibundgut, & Nenad Ban. (2012). Atomic structures of the eukaryotic ribosome. Trends in Biochemical Sciences. 37(5). 189–198. 130 indexed citations
5.
Voigts-Hoffmann, F., Sebastian Klinge, & Nenad Ban. (2012). Structural insights into eukaryotic ribosomes and the initiation of translation. Current Opinion in Structural Biology. 22(6). 768–777. 34 indexed citations
6.
Klinge, Sebastian, et al.. (2011). Crystal Structure of the Eukaryotic 60 S Ribosomal Subunit in Complex with Initiation Factor 6. Science. 334(6058). 941–948. 284 indexed citations
7.
Hengesbach, Martin, F. Voigts-Hoffmann, Benjamin J. Hofmann, & Mark Helm. (2010). Formation of a stalled early intermediate of pseudouridine synthesis monitored by real-time FRET. RNA. 16(3). 610–620. 6 indexed citations
8.
Hengesbach, Martin, Andrei Yu Kobitski, F. Voigts-Hoffmann, et al.. (2008). RNA Intramolecular Dynamics by Single‐Molecule FRET. Current Protocols in Nucleic Acid Chemistry. 34(1). Unit 11.12–Unit 11.12. 16 indexed citations
9.
Voigts-Hoffmann, F., Martin Hengesbach, Andrei Yu Kobitski, et al.. (2007). A Methyl Group Controls Conformational Equilibrium in Human Mitochondrial tRNA Lys. Journal of the American Chemical Society. 129(44). 13382–13383. 74 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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