Isabelle Fruh

687 total citations
10 papers, 479 citations indexed

About

Isabelle Fruh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Isabelle Fruh has authored 10 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Isabelle Fruh's work include Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers) and Pluripotent Stem Cells Research (2 papers). Isabelle Fruh is often cited by papers focused on Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers) and Pluripotent Stem Cells Research (2 papers). Isabelle Fruh collaborates with scholars based in Switzerland, United States and United Kingdom. Isabelle Fruh's co-authors include Nuri Gueven, Anja C. Gemperli, Michael A. Erb, Robert Dallmann, Matthias Müeller, Tewis Bouwmeester, Michael Bidinosti, Mario Bernhard, Walter Carbone and Hans Voshol and has published in prestigious journals such as Science, PLoS ONE and Scientific Reports.

In The Last Decade

Isabelle Fruh

10 papers receiving 471 citations

Peers

Isabelle Fruh

MB

GENET

CMN

CN

BE

Elena Vezzoli Italy

Thomas F. Allison United Kingdom

B. Ogan Mancarci Canada

Momoko Watanabe Japan

Lili Zhou China

Teun M. Klein Gunnewiek Netherlands

Godwin Dogbevia Germany

Oxana Kapitansky Israel

Ralda Nehme United States

Elena Vezzoli Italy

Isabelle Fruh

268 ×0.8

MB

69 ×0.8

GENET

164 ×1.9

CMN

59 ×0.7

CN

39 ×1.0

BE

Citations per year, relative to Isabelle Fruh Isabelle Fruh (= 1×) peers Elena Vezzoli

Countries citing papers authored by Isabelle Fruh

Since Specialization

Citations

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

Fields of papers citing papers by Isabelle Fruh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Fruh

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

All Works

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10 of 10 papers shown

1.

Dinamarca, Margarita C., Urszula Brykczynska, Amandine Grimm, et al.. (2024). Transmission-selective muscle pathology induced by the active propagation of mutant huntingtin across the human neuromuscular synapse. Frontiers in Molecular Neuroscience. 16. 1287510–1287510. 2 indexed citations

2.

Ihle, Stephan J., et al.. (2023). Engineering circuits of human iPSC-derived neurons and rat primary glia. Frontiers in Neuroscience. 17. 1103437–1103437. 8 indexed citations

3.

Callegari, Ilaria, Hye-In Kim, Isabelle Fruh, et al.. (2022). Receptor clustering and pathogenic complement activation in myasthenia gravis depend on synergy between antibodies with multiple subunit specificities. Acta Neuropathologica. 144(5). 1005–1025. 30 indexed citations

4.

Ihle, Stephan J., Csaba Forró, Tobias Ruff, et al.. (2022). Topologically controlled circuits of human iPSC-derived neurons for electrophysiology recordings. Lab on a Chip. 22(7). 1386–1403. 26 indexed citations

5.

Giorgetti, E., Moh Panesar, Yunyu Zhang, et al.. (2019). Modulation of Microglia by Voluntary Exercise or CSF1R Inhibition Prevents Age-Related Loss of Functional Motor Units. Cell Reports. 29(6). 1539–1554.e7. 37 indexed citations

6.

Russell, Oliver M., Isabelle Fruh, David Marcellin, et al.. (2018). Preferential amplification of a human mitochondrial DNA deletion in vitro and in vivo. Scientific Reports. 8(1). 1799–1799. 27 indexed citations

7.

Bidinosti, Michael, Paolo Botta, Sebastian Krüttner, et al.. (2016). CLK2 inhibition ameliorates autistic features associated with SHANK3 deficiency. Science. 351(6278). 1199–1203. 115 indexed citations

8.

Kaufmann, Markus, Ansgar Schuffenhauer, Isabelle Fruh, et al.. (2015). High-Throughput Screening Using iPSC-Derived Neuronal Progenitors to Identify Compounds Counteracting Epigenetic Gene Silencing in Fragile X Syndrome. SLAS DISCOVERY. 20(9). 1101–1111. 69 indexed citations

9.

Haller, Corinne, Carole Manneville, Thierry Doll, et al.. (2015). Identification of Small Molecules Which Induce Skeletal Muscle Differentiation in Embryonic Stem Cells via Activation of the Wnt and Inhibition of Smad2/3 and Sonic Hedgehog Pathways. Stem Cells. 34(2). 299–310. 13 indexed citations

10.

Erb, Michael A., et al.. (2011). NQO1-Dependent Redox Cycling of Idebenone: Effects on Cellular Redox Potential and Energy Levels. PLoS ONE. 6(3). e17963–e17963. 152 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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