Luc Jaeger

6.4k total citations
70 papers, 5.0k citations indexed

About

Luc Jaeger is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Luc Jaeger has authored 70 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 13 papers in Ecology and 5 papers in Genetics. Recurrent topics in Luc Jaeger's work include RNA and protein synthesis mechanisms (53 papers), Advanced biosensing and bioanalysis techniques (36 papers) and RNA modifications and cancer (22 papers). Luc Jaeger is often cited by papers focused on RNA and protein synthesis mechanisms (53 papers), Advanced biosensing and bioanalysis techniques (36 papers) and RNA modifications and cancer (22 papers). Luc Jaeger collaborates with scholars based in United States, France and Poland. Luc Jaeger's co-authors include Éric Westhof, Arkadiusz Chworoś, Wade W. Grabow, Kirill A. Afonin, Bruce A. Shapiro, Cody Geary, François Michel, Eckart Bindewald, Neocles B. Leontis and Alexey Y. Koyfman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Luc Jaeger

70 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luc Jaeger United States 38 4.7k 991 311 240 229 70 5.0k
Tianwei Lin United States 29 1.4k 0.3× 1.1k 1.1× 207 0.7× 208 0.9× 351 1.5× 59 2.9k
Hans A. Heus Netherlands 31 2.9k 0.6× 338 0.3× 299 1.0× 419 1.7× 389 1.7× 77 3.7k
Craig T. Martin United States 28 2.3k 0.5× 526 0.5× 715 2.3× 223 0.9× 363 1.6× 57 2.9k
Neil Voss United States 16 1.9k 0.4× 341 0.3× 252 0.8× 107 0.4× 292 1.3× 24 2.7k
Barry Polisky United States 30 5.0k 1.1× 655 0.7× 1.2k 4.0× 554 2.3× 140 0.6× 62 5.6k
Claudio Rivetti Italy 26 2.1k 0.5× 414 0.4× 349 1.1× 367 1.5× 194 0.8× 61 3.2k
Sumedha D. Jayasena United States 17 4.7k 1.0× 318 0.3× 323 1.0× 908 3.8× 158 0.7× 22 5.2k
Ryszard Kierzek Poland 47 7.5k 1.6× 696 0.7× 727 2.3× 117 0.5× 269 1.2× 164 8.1k
Vadim V. Demidov United States 25 3.1k 0.7× 531 0.5× 136 0.4× 390 1.6× 143 0.6× 62 3.3k
Takashi Yokogawa Japan 26 3.4k 0.7× 328 0.3× 646 2.1× 188 0.8× 122 0.5× 68 3.6k

Countries citing papers authored by Luc Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Luc Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Jaeger

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Jaeger. A scholar is included among the top collaborators of Luc Jaeger 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 Luc Jaeger. Luc Jaeger 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.
Zakrevsky, Paul, et al.. (2021). In vitro selected GUAA tetraloop-binding receptors with structural plasticity and evolvability towards natural RNA structural modules. Nucleic Acids Research. 49(4). 2289–2305. 1 indexed citations
2.
Huang, Shijie, Nikolay A. Aleksashin, A.B. Loveland, et al.. (2020). Ribosome engineering reveals the importance of 5S rRNA autonomy for ribosome assembly. Nature Communications. 11(1). 2900–2900. 25 indexed citations
3.
Zakrevsky, Paul, Wojciech K. Kasprzak, William F. Heinz, et al.. (2020). Truncated tetrahedral RNA nanostructures exhibit enhanced features for delivery of RNAi substrates. Nanoscale. 12(4). 2555–2568. 14 indexed citations
4.
Jaeger, Luc, et al.. (2019). Optimization of the Split-Spinach Aptamer for Monitoring Nanoparticle Assembly Involving Multiple Contiguous RNAs. Nanomaterials. 9(3). 378–378. 10 indexed citations
5.
McCown, Phillip J., et al.. (2019). Secondary Structural Model of Human MALAT1 Reveals Multiple Structure–Function Relationships. International Journal of Molecular Sciences. 20(22). 5610–5610. 50 indexed citations
6.
Zakrevsky, Paul, et al.. (2018). Deducing putative ancestral forms of GNRA/receptor interactions from the ribosome. Nucleic Acids Research. 47(1). 480–494. 7 indexed citations
7.
Watkins, Andrew M., Caleb Geniesse, Wipapat Kladwang, et al.. (2018). Blind prediction of noncanonical RNA structure at atomic accuracy. Science Advances. 4(5). eaar5316–eaar5316. 33 indexed citations
8.
Geary, Cody, et al.. (2017). Composing RNA Nanostructures from a Syntax of RNA Structural Modules. Nano Letters. 17(11). 7095–7101. 60 indexed citations
9.
Dabkowska, Aleksandra P., et al.. (2017). Supported Fluid Lipid Bilayer as a Scaffold to Direct Assembly of RNA Nanostructures. Methods in molecular biology. 1632. 107–122. 2 indexed citations
10.
Afonin, Kirill A., Danielle M. Schultz, Luc Jaeger, E. G. Gwinn, & Bruce A. Shapiro. (2015). Silver Nanoclusters for RNA Nanotechnology: Steps Towards Visualization and Tracking of RNA Nanoparticle Assemblies. Methods in molecular biology. 1297. 59–66. 14 indexed citations
11.
Afonin, Kirill A., Mathias Viard, Angélica N. Martins, et al.. (2013). Activation of different split functionalities on re-association of RNA–DNA hybrids. Nature Nanotechnology. 8(4). 296–304. 99 indexed citations
12.
Jaeger, Luc, et al.. (2011). Downward causation by information control in micro-organisms. Interface Focus. 2(1). 26–41. 23 indexed citations
13.
Kasprzak, Wojciech K., Eckart Bindewald, Tae‐Jin Kim, Luc Jaeger, & Bruce A. Shapiro. (2010). Use of RNA structure flexibility data in nanostructure modeling. Methods. 54(2). 239–250. 22 indexed citations
14.
Geary, Cody, Stéphanie Baudrey, & Luc Jaeger. (2007). Comprehensive features of natural and in vitro selected GNRA tetraloop-binding receptors. Nucleic Acids Research. 36(4). 1138–1152. 78 indexed citations
15.
Jaeger, Luc, et al.. (2007). Probing the structural hierarchy and energy landscape of an RNA T-loop hairpin. Nucleic Acids Research. 35(20). 6995–7002. 25 indexed citations
16.
Davis, Jared, Marco Tonelli, Lincoln G. Scott, et al.. (2005). RNA Helical Packing in Solution: NMR Structure of a 30 kDa GAAA Tetraloop–Receptor Complex. Journal of Molecular Biology. 351(2). 371–382. 120 indexed citations
17.
Yoshioka, Wataru, Yoshiya Ikawa, Luc Jaeger, Hideaki Shiraishi, & Tan Inoue. (2004). Generation of a catalytic module on a self-folding RNA. RNA. 10(12). 1900–1906. 22 indexed citations
18.
Jaeger, Luc. (2001). TectoRNA: modular assembly units for the construction of RNA nano-objects. Nucleic Acids Research. 29(2). 455–463. 217 indexed citations
19.
Massire, Christian, Luc Jaeger, & Éric Westhof. (1998). Derivation of the three-dimensional architecture of bacterial ribonuclease P RNAs from comparative sequence analysis. Journal of Molecular Biology. 279(4). 773–793. 194 indexed citations
20.
Jaeger, Luc, Éric Westhof, & François Michel. (1996). Function of a pseudoknot in the suppression of an alternative splicing event in a group I intron. Biochimie. 78(6). 466–473. 12 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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