Thomas Franch

2.4k total citations
19 papers, 1.8k citations indexed

About

Thomas Franch is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Thomas Franch has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Ecology. Recurrent topics in Thomas Franch's work include Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (12 papers) and Bacteriophages and microbial interactions (8 papers). Thomas Franch is often cited by papers focused on Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (12 papers) and Bacteriophages and microbial interactions (8 papers). Thomas Franch collaborates with scholars based in Denmark, United States and Netherlands. Thomas Franch's co-authors include Kenn Gerdes, Poul Valentin‐Hansen, Thorleif Møller, Alexander P. Gultyaev, Douglas R. Keene, Richard G. Brennan, Hans Peter Bächinger, Peter Højrup, Kim Brint Pedersen and Jakob Møller‐Jensen and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Thomas Franch

19 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Franch Denmark 17 1.4k 1.0k 716 204 136 19 1.8k
Isabella Moll Austria 29 2.3k 1.6× 1.5k 1.4× 731 1.0× 171 0.8× 155 1.1× 48 2.7k
A. Wali Karzai United States 24 1.9k 1.3× 914 0.9× 468 0.7× 90 0.4× 83 0.6× 33 2.2k
Simon A. Jackson New Zealand 20 1.3k 0.9× 512 0.5× 705 1.0× 269 1.3× 87 0.6× 44 1.8k
Erik Holmqvist Sweden 16 1.4k 0.9× 940 0.9× 573 0.8× 208 1.0× 71 0.5× 28 1.6k
Nadja Heidrich Germany 17 1.2k 0.8× 590 0.6× 431 0.6× 140 0.7× 78 0.6× 21 1.4k
Alexander J. Meeske United States 15 957 0.7× 580 0.6× 451 0.6× 81 0.4× 121 0.9× 22 1.3k
Sabine Brantl Germany 32 2.3k 1.6× 1.8k 1.7× 1.2k 1.7× 184 0.9× 292 2.1× 79 2.8k
Igor Levchenko United States 18 1.9k 1.3× 994 1.0× 285 0.4× 108 0.5× 82 0.6× 26 2.2k
Silvia Ayora Spain 27 1.4k 1.0× 1.1k 1.1× 541 0.8× 116 0.6× 184 1.4× 75 1.9k
James A. Sawitzke United States 16 1.4k 1.0× 1.1k 1.0× 470 0.7× 176 0.9× 73 0.5× 20 1.8k

Countries citing papers authored by Thomas Franch

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Franch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Franch

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Franch. A scholar is included among the top collaborators of Thomas Franch 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 Thomas Franch. Thomas Franch 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.
Christensen, Jesper Frank, Daniela Kleine‐Kohlbrecher, Itys Comet, et al.. (2023). Discovery of NSD2‐Degraders from Novel and Selective DEL Hits. ChemBioChem. 24(24). e202300515–e202300515. 6 indexed citations
2.
Ahn, Seungkirl, Biswaranjan Pani, Alem W. Kahsai, et al.. (2018). Small-Molecule Positive Allosteric Modulators of the β2-Adrenoceptor Isolated from DNA-Encoded Libraries. Molecular Pharmacology. 94(2). 850–861. 65 indexed citations
3.
Jørgensen, Mikkel Girke, Jesper S. Nielsen, Anders Boysen, et al.. (2012). Small regulatory RNAs control the multi‐cellular adhesive lifestyle of Escherichia coli. Molecular Microbiology. 84(1). 36–50. 107 indexed citations
4.
Rasmussen, Anders Aamann, et al.. (2005). Regulation of ompA mRNA stability: the role of a small regulatory RNA in growth phase‐dependent control. Molecular Microbiology. 58(5). 1421–1429. 149 indexed citations
5.
Møller, Thorleif, Thomas Franch, Peter Højrup, et al.. (2002). Hfq. Molecular Cell. 9(1). 23–30. 437 indexed citations
6.
Møller, Thorleif, et al.. (2002). Spot 42 RNA mediates discoordinate expression of the E. coli galactose operon. Genes & Development. 16(13). 1696–1706. 244 indexed citations
7.
Møller‐Jensen, Jakob, Thomas Franch, & Kenn Gerdes. (2001). Temporal Translational Control by a Metastable RNA Structure. Journal of Biological Chemistry. 276(38). 35707–35713. 26 indexed citations
8.
Almond, Andrew, Jakob Bunkenborg, Thomas Franch, Charlotte H. Gotfredsen, & Jens Ø. Duus. (2001). Comparison of Aqueous Molecular Dynamics with NMR Relaxation and Residual Dipolar Couplings Favors Internal Motion in a Mannose Oligosaccharide. Journal of the American Chemical Society. 123(20). 4792–4802. 46 indexed citations
9.
10.
Gultyaev, Alexander P., Thomas Franch, & Kenn Gerdes. (2000). Coupled nucleotide covariations reveal dynamic RNA interaction patterns. RNA. 6(11). 1483–1491. 12 indexed citations
11.
Franch, Thomas & Kenn Gerdes. (2000). U-turns and regulatory RNAs. Current Opinion in Microbiology. 3(2). 159–164. 56 indexed citations
12.
Ehli, Erik A., et al.. (2000). The antisense RNA of the par locus of pAD1 regulates the expression of a 33‐amino‐acid toxic peptide by an unusual mechanism. Molecular Microbiology. 37(3). 652–660. 63 indexed citations
13.
Franch, Thomas, Thomas Thisted, & Kenn Gerdes. (1999). Ribonuclease III Processing of Coaxially Stacked RNA Helices. Journal of Biological Chemistry. 274(37). 26572–26578. 25 indexed citations
14.
Franch, Thomas, Michael Petersen, E. Gerhart H. Wagner, Jens Peter Jacobsen, & Kenn Gerdes. (1999). Antisense RNA regulation in prokaryotes: rapid RNA/RNA interaction facilitated by a general U-turn loop structure. Journal of Molecular Biology. 294(5). 1115–1125. 136 indexed citations
15.
Gerdes, Kenn, et al.. (1997). Plasmid Stabilization by Post-Segregational Killing. PubMed. 19. 49–61. 25 indexed citations
16.
Gultyaev, Alexander P., Thomas Franch, & Kenn Gerdes. (1997). Programmed cell death by hok/sok of plasmid R1: Coupled nucleotide covariations reveal a phylogenetically conserved folding pathway in the hok family of mRNAs. Journal of Molecular Biology. 273(1). 26–37. 41 indexed citations
17.
Franch, Thomas, Alexander P. Gultyaev, & Kenn Gerdes. (1997). Programmed cell death by hok/sok of plasmid R1: Processing at the hok mRNA 3′-end triggers structural rearrangements that allow translation and antisense RNA binding. Journal of Molecular Biology. 273(1). 38–51. 88 indexed citations
18.
Gerdes, Kenn, et al.. (1997). ANTISENSE RNA-REGULATED PROGRAMMED CELL DEATH. Annual Review of Genetics. 31(1). 1–31. 172 indexed citations
19.
Franch, Thomas & Kenn Gerdes. (1996). Programmed cell death in bacteria: translational repression by mRNA end‐pairing. Molecular Microbiology. 21(5). 1049–1060. 51 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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