Sigrid Schnoegl

1.0k total citations
11 papers, 591 citations indexed

About

Sigrid Schnoegl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sigrid Schnoegl has authored 11 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Sigrid Schnoegl's work include Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (4 papers) and Alzheimer's disease research and treatments (3 papers). Sigrid Schnoegl is often cited by papers focused on Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (4 papers) and Alzheimer's disease research and treatments (3 papers). Sigrid Schnoegl collaborates with scholars based in Germany, United States and Austria. Sigrid Schnoegl's co-authors include Erich E. Wanker, Rudi Lurz, Annett Boeddrich, Thomas Wiglenda, Ralf P. Friedrich, Martin Herbst, Dominic M. Walsh, Michael Rahbek Schmidt, Bernd Reif and Stefan Günther and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Sigrid Schnoegl

10 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sigrid Schnoegl Germany 9 368 320 115 87 85 11 591
Ryan Limbocker United States 13 390 1.1× 368 1.1× 71 0.6× 76 0.9× 109 1.3× 26 724
Ruitian Liu United States 10 269 0.7× 292 0.9× 53 0.5× 69 0.8× 77 0.9× 13 530
Ann‐Christin Brorsson Sweden 14 393 1.1× 448 1.4× 76 0.7× 61 0.7× 103 1.2× 27 697
Kelvin Stott United Kingdom 7 371 1.0× 228 0.7× 158 1.4× 73 0.8× 89 1.0× 9 552
Claudia Parrini Italy 7 513 1.4× 453 1.4× 59 0.5× 107 1.2× 60 0.7× 7 741
Giorgio Favrin United Kingdom 11 504 1.4× 309 1.0× 46 0.4× 110 1.3× 53 0.6× 15 683
Gerald Gellermann Germany 7 475 1.3× 404 1.3× 42 0.4× 81 0.9× 78 0.9× 9 638
Maja Debulpaep Belgium 8 723 2.0× 629 2.0× 111 1.0× 141 1.6× 115 1.4× 10 1.1k
Sofia Lövestam United Kingdom 9 454 1.2× 497 1.6× 70 0.6× 62 0.7× 70 0.8× 15 788
Carsten Krantz Switzerland 6 292 0.8× 435 1.4× 72 0.6× 68 0.8× 114 1.3× 8 554

Countries citing papers authored by Sigrid Schnoegl

Since Specialization
Citations

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

Fields of papers citing papers by Sigrid Schnoegl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sigrid Schnoegl

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

All Works

11 of 11 papers shown
1.
Schnoegl, Sigrid, et al.. (2024). Polyglutamine disease proteins: Commonalities and differences in interaction profiles and pathological effects. PROTEOMICS. 24(12-13). e2300114–e2300114. 8 indexed citations
2.
Kunz, Séverine, Sigrid Schnoegl, Gillian P. Bates, et al.. (2021). Small, Seeding-Competent Huntingtin Fibrils Are Prominent Aggregate Species in Brains of zQ175 Huntington’s Disease Knock-in Mice. Frontiers in Neuroscience. 15. 682172–682172. 9 indexed citations
3.
Secker, Christopher, et al.. (2021). CellFIE: CRISPR- and Cell Fusion-based Two-hybrid Interaction Mapping of Endogenous Proteins. Journal of Molecular Biology. 433(24). 167305–167305.
4.
Wiglenda, Thomas, Waldemar Hoffmann, Christian Manz, et al.. (2020). Sclerotiorin Stabilizes the Assembly of Nonfibrillar Abeta42 Oligomers with Low Toxicity, Seeding Activity, and Beta-sheet Content. Journal of Molecular Biology. 432(7). 2080–2098. 11 indexed citations
5.
Wanker, Erich E., et al.. (2019). The pathobiology of perturbed mutant huntingtin protein–protein interactions in Huntington's disease. Journal of Neurochemistry. 151(4). 507–519. 65 indexed citations
7.
Trepte, Philipp, Alexander Buntru, Christopher Secker, et al.. (2018). Lu TH y: a double‐readout bioluminescence‐based two‐hybrid technology for quantitative mapping of protein–protein interactions in mammalian cells. Molecular Systems Biology. 14(7). e8071–e8071. 25 indexed citations
8.
Buntru, Alexander, et al.. (2016). Current Approaches Toward Quantitative Mapping of the Interactome. Frontiers in Genetics. 7. 74–74. 20 indexed citations
9.
Bieschke, Jan, Martin Herbst, Thomas Wiglenda, et al.. (2011). Small-molecule conversion of toxic oligomers to nontoxic β-sheet–rich amyloid fibrils. Nature Chemical Biology. 8(1). 93–101. 386 indexed citations
10.
Goehler, Heike, Anja Dröge, Rudi Lurz, et al.. (2010). Pathogenic Polyglutamine Tracts Are Potent Inducers of Spontaneous Sup35 and Rnq1 Amyloidogenesis. PLoS ONE. 5(3). e9642–e9642. 15 indexed citations
11.
Chaurasia, Gautam, et al.. (2008). UniHI 4: new tools for query, analysis and visualization of the human protein–protein interactome. Nucleic Acids Research. 37(suppl_1). D657–D660. 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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