Alain Laederach

5.7k total citations · 1 hit paper
92 papers, 3.7k citations indexed

About

Alain Laederach is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Alain Laederach has authored 92 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Infectious Diseases. Recurrent topics in Alain Laederach's work include RNA and protein synthesis mechanisms (60 papers), RNA modifications and cancer (48 papers) and RNA Research and Splicing (44 papers). Alain Laederach is often cited by papers focused on RNA and protein synthesis mechanisms (60 papers), RNA modifications and cancer (48 papers) and RNA Research and Splicing (44 papers). Alain Laederach collaborates with scholars based in United States, United Kingdom and Switzerland. Alain Laederach's co-authors include Russ B. Altman, Rhiju Das, Daniel Herschlag, Joshua S. Martin, Matthew Halvorsen, D. Bruce Fulton, Peter J. Reilly, Michael Brenowitz, Magdalena Jonikas and Amy H. Andreotti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Alain Laederach

88 papers receiving 3.7k citations

Hit Papers

Common genetic variation in the HLA region is associated ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alain Laederach United States 35 2.7k 405 298 284 250 92 3.7k
David Shin United States 26 2.6k 1.0× 155 0.4× 178 0.6× 250 0.9× 547 2.2× 49 4.3k
Zhen‐Ge Luo China 30 2.4k 0.9× 189 0.5× 171 0.6× 134 0.5× 361 1.4× 77 4.1k
Gustavo Egea Spain 37 2.1k 0.8× 141 0.3× 101 0.3× 140 0.5× 305 1.2× 105 3.7k
Robi D. Mitra United States 37 4.0k 1.5× 202 0.5× 164 0.6× 455 1.6× 1.1k 4.3× 97 5.6k
Lois E. Greene United States 48 4.5k 1.7× 377 0.9× 242 0.8× 64 0.2× 160 0.6× 116 6.4k
Kenichi Yoshino Japan 31 2.3k 0.8× 217 0.5× 63 0.2× 174 0.6× 288 1.2× 131 4.2k
Emma Sierecki Australia 28 1.9k 0.7× 214 0.5× 65 0.2× 211 0.7× 140 0.6× 68 3.1k
Masaaki Matsushima Japan 27 2.1k 0.8× 311 0.8× 93 0.3× 87 0.3× 226 0.9× 139 3.4k
Marc Moniatte Switzerland 31 1.2k 0.4× 377 0.9× 86 0.3× 86 0.3× 159 0.6× 54 2.7k
Evan P. Ferrell United States 13 1.6k 0.6× 273 0.7× 124 0.4× 72 0.3× 146 0.6× 14 2.8k

Countries citing papers authored by Alain Laederach

Since Specialization
Citations

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

Fields of papers citing papers by Alain Laederach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Laederach

This figure shows the co-authorship network connecting the top 25 collaborators of Alain Laederach. A scholar is included among the top collaborators of Alain Laederach 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 Alain Laederach. Alain Laederach 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.
Schlick, Tamar, et al.. (2025). RNA Structural Ensemble Determinants of −1 Programmed Ribosomal Frameshifting Efficiency Across Coronavirus Evolution. Journal of Molecular Biology. 437(24). 169512–169512.
2.
Backofen, Rolf, et al.. (2025). Structural determinants of inverted Alu-mediated backsplicing revealed by -MaP and -JuMP. Nucleic Acids Research. 53(9).
3.
Nguyen, P, et al.. (2024). Orb2 enables rare-codon-enriched mRNA expression during Drosophila neuron differentiation. Nature Communications. 15(1). 5270–5270. 2 indexed citations
4.
Laederach, Alain, et al.. (2024). Visualizing RNA structure ensembles by single-molecule correlated chemical probing. Current Opinion in Structural Biology. 88. 102877–102877. 2 indexed citations
5.
Knight, Michael L., et al.. (2022). Rotavirus RNA chaperone mediates global transcriptome-wide increase in RNA backbone flexibility. Nucleic Acids Research. 50(17). 10078–10092. 6 indexed citations
7.
Li, Bibo, et al.. (2021). In vivo architecture of the telomerase RNA catalytic core in Trypanosoma brucei. Nucleic Acids Research. 49(21). 12445–12466. 9 indexed citations
8.
Dadonaite, Bernadeta, Brad Gilbertson, Michael L. Knight, et al.. (2019). The structure of the influenza A virus genome. Nature Microbiology. 4(11). 1781–1789. 157 indexed citations
9.
Laederach, Alain, et al.. (2017). Classification of RNA structure change by ‘gazing’ at experimental data. Bioinformatics. 33(11). 1647–1655. 16 indexed citations
10.
Ball, Christopher B., Amanda Solem, Rita M. Meganck, Alain Laederach, & Silvia B. V. Ramos. (2017). Impact of RNA structure on ZFP36L2 interaction with luteinizing hormone receptor mRNA. RNA. 23(8). 1209–1223. 7 indexed citations
11.
Mucaki, Eliseos J., Natasha Caminsky, Ami M. Perri, et al.. (2016). A unified analytic framework for prioritization of non-coding variants of uncertain significance in heritable breast and ovarian cancer. BMC Medical Genomics. 9(1). 19–19. 14 indexed citations
12.
Kutchko, Katrina M., Wes Sanders, Gabriela Phillips, et al.. (2015). Multiple conformations are a conserved and regulatory feature of the RB1 5′ UTR. RNA. 21(7). 1274–1285. 51 indexed citations
13.
Rogler, Leslie E., David M. Moskowitz, Katrina M. Kutchko, et al.. (2013). Small RNAs derived from lncRNA RNase MRP have gene-silencing activity relevant to human cartilage–hair hypoplasia. Human Molecular Genetics. 23(2). 368–382. 69 indexed citations
14.
Martin, Joshua S., et al.. (2011). Structural effects of linkage disequilibrium on the transcriptome. RNA. 18(1). 77–87. 34 indexed citations
15.
Jonikas, Magdalena, Randall J. Radmer, Alain Laederach, et al.. (2009). Coarse-grained modeling of large RNA molecules with knowledge-based potentials and structural filters. RNA. 15(2). 189–199. 262 indexed citations
16.
Das, Rhiju, Magdalena Jonikas, Alain Laederach, et al.. (2008). Structural inference of native and partially folded RNA by high-throughput contact mapping. Proceedings of the National Academy of Sciences. 105(11). 4144–4149. 72 indexed citations
17.
Laederach, Alain, Inna Shcherbakova, Magdalena Jonikas, Russ B. Altman, & Michael Brenowitz. (2007). Distinct contribution of electrostatics, initial conformational ensemble, and macromolecular stability in RNA folding. Proceedings of the National Academy of Sciences. 104(17). 7045–7050. 47 indexed citations
18.
Vicens, Quentin, Anne R. Gooding, Alain Laederach, & Thomas R. Cech. (2007). Local RNA structural changes induced by crystallization are revealed by SHAPE. RNA. 13(4). 536–548. 45 indexed citations
19.
20.
Laederach, Alain & Peter J. Reilly. (2005). Modeling protein recognition of carbohydrates. Proteins Structure Function and Bioinformatics. 60(4). 591–597. 46 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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