Lorène Aeschbach

609 total citations
17 papers, 472 citations indexed

About

Lorène Aeschbach is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Lorène Aeschbach has authored 17 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Lorène Aeschbach's work include Genetic Neurodegenerative Diseases (7 papers), Alzheimer's disease research and treatments (6 papers) and Mitochondrial Function and Pathology (5 papers). Lorène Aeschbach is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Alzheimer's disease research and treatments (6 papers) and Mitochondrial Function and Pathology (5 papers). Lorène Aeschbach collaborates with scholars based in Switzerland, France and United Kingdom. Lorène Aeschbach's co-authors include Patrick C. Fraering, Vincent Dion, Matthias Cacquevel, Michael S. Wolfe, Bin Yang, Dennis J. Selkoe, Dongyang Li, Huilin Li, Pamela Osenkowski and Wenjuan Ye and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Lorène Aeschbach

17 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorène Aeschbach Switzerland 10 284 181 102 81 50 17 472
Leen Bammens Belgium 4 360 1.3× 384 2.1× 86 0.8× 87 1.1× 87 1.7× 5 636
Wenjuan Wu Portugal 8 220 0.8× 112 0.6× 59 0.6× 77 1.0× 22 0.4× 11 368
Ulrike Dürrwang Germany 7 301 1.1× 300 1.7× 72 0.7× 144 1.8× 40 0.8× 7 492
Constanze Reinhard Germany 9 331 1.2× 209 1.2× 57 0.6× 233 2.9× 28 0.6× 12 535
Sergiy Borysov United States 9 366 1.3× 169 0.9× 69 0.7× 175 2.2× 35 0.7× 12 502
Oshik Segev Israel 5 271 1.0× 124 0.7× 105 1.0× 95 1.2× 10 0.2× 6 552
Nicolas Malmanche Portugal 10 246 0.9× 140 0.8× 54 0.5× 125 1.5× 14 0.3× 13 376
Ankita Sarkar India 14 254 0.9× 92 0.5× 78 0.8× 104 1.3× 13 0.3× 27 478
Michael A. Myre United States 15 435 1.5× 201 1.1× 157 1.5× 246 3.0× 21 0.4× 23 687
Youngdae Gwon South Korea 12 546 1.9× 221 1.2× 84 0.8× 183 2.3× 30 0.6× 19 837

Countries citing papers authored by Lorène Aeschbach

Since Specialization
Citations

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

Fields of papers citing papers by Lorène Aeschbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorène Aeschbach

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

All Works

17 of 17 papers shown
1.
Aeschbach, Lorène, et al.. (2024). Cas9 nickase-mediated contractions of CAG/CTG repeats are transcription-dependent and replication-independent. PubMed. 1(4). ugae013–ugae013. 2 indexed citations
2.
Taylor, Alysha, Nastassia Gobet, Branduff McAllister, et al.. (2022). Repeat Detector: versatile sizing of expanded tandem repeats and identification of interrupted alleles from targeted DNA sequencing. NAR Genomics and Bioinformatics. 4(4). lqac089–lqac089. 7 indexed citations
3.
Petricca, Lara, et al.. (2022). Comparative Analysis of Total Alpha-Synuclein (αSYN) Immunoassays Reveals That They Do Not Capture the Diversity of Modified αSYN Proteoforms. Journal of Parkinson s Disease. 12(5). 1449–1462. 7 indexed citations
4.
Curtis, Maurice A., Lynette J. Tippett, Clinton Turner, et al.. (2022). N-terminal mutant huntingtin deposition correlates with CAG repeat length and symptom onset, but not neuronal loss in Huntington's disease. Neurobiology of Disease. 174. 105884–105884. 7 indexed citations
5.
Yang, Bin, et al.. (2021). Expanded CAG/CTG repeats resist gene silencing mediated by targeted epigenome editing. Human Molecular Genetics. 31(3). 386–398. 1 indexed citations
6.
Aeschbach, Lorène, Marius Socol, Pierre Joseph, et al.. (2019). µLAS: Sizing of expanded trinucleotide repeats with femtomolar sensitivity in less than 5 minutes. Scientific Reports. 9(1). 23–23. 11 indexed citations
7.
Aeschbach, Lorène & Vincent Dion. (2017). Minimizing carry-over PCR contamination in expanded CAG/CTG repeat instability applications. Scientific Reports. 7(1). 18026–18026. 9 indexed citations
8.
Didelot, Audrey, Fanny Garlan, Sonia Garrigou, et al.. (2017). Direct characterization of circulating DNA in blood plasma using μLAS technology. ORCA Online Research @Cardiff (Cardiff University). 26.5.1–26.5.4. 1 indexed citations
9.
Aeschbach, Lorène, et al.. (2016). Contracting CAG/CTG repeats using the CRISPR-Cas9 nickase. Nature Communications. 7(1). 13272–13272. 61 indexed citations
10.
Alattia, Jean‐René, Mattia Matasci, Mitko Dimitrov, et al.. (2013). Highly efficient production of the Alzheimer's γ‐Secretase integral membrane protease complex by a multi‐gene stable integration approach. Biotechnology and Bioengineering. 110(7). 1995–2005. 28 indexed citations
11.
Cacquevel, Matthias, et al.. (2012). Alzheimer's Disease-Linked Mutations in Presenilin-1 Result in a Drastic Loss of Activity in Purified γ-Secretase Complexes. PLoS ONE. 7(4). e35133–e35133. 66 indexed citations
12.
Bolmont, Tristan, et al.. (2012). Selective neutralization of APP-C99 with monoclonal antibodies reduces the production of Alzheimer's Aβ peptides. Neurobiology of Aging. 33(11). 2704–2714. 9 indexed citations
13.
Alattia, Jean‐René, Claude Schweizer, Matthias Cacquevel, et al.. (2012). Generation of Monoclonal Antibody Fragments Binding the Native γ-Secretase Complex for Use in Structural Studies. Biochemistry. 51(44). 8779–8790. 4 indexed citations
14.
Osenkowski, Pamela, Hua Li, Wenjuan Ye, et al.. (2008). Cryoelectron Microscopy Structure of Purified γ-Secretase at 12 Å Resolution. Journal of Molecular Biology. 385(2). 642–652. 93 indexed citations
15.
Cacquevel, Matthias, Lorène Aeschbach, Pamela Osenkowski, et al.. (2007). Rapid purification of active γ‐secretase, an intramembrane protease implicated in Alzheimer’s disease. Journal of Neurochemistry. 104(1). 210–220. 41 indexed citations
16.
Favre, Bertrand, Lorène Aeschbach, Noureddine Brakch, et al.. (2006). SLURP1 Is a Late Marker of Epidermal Differentiation and Is Absent in Mal de Meleda. Journal of Investigative Dermatology. 127(2). 301–308. 77 indexed citations
17.
Manen, Jean-François, О. А. Синицына, Lorène Aeschbach, А. В. Марков, & А. П. Синицын. (2005). A fully automatable enzymatic method for DNA extraction from plant tissues. BMC Plant Biology. 5(1). 23–23. 48 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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