Ute Nonhoff

833 total citations
8 papers, 649 citations indexed

About

Ute Nonhoff is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Ute Nonhoff has authored 8 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 1 paper in Pharmacology. Recurrent topics in Ute Nonhoff's work include Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (4 papers) and RNA Research and Splicing (4 papers). Ute Nonhoff is often cited by papers focused on Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (4 papers) and RNA Research and Splicing (4 papers). Ute Nonhoff collaborates with scholars based in Germany, Sweden and Netherlands. Ute Nonhoff's co-authors include Sylvia Krobitsch, Hans Lehrach, Markus Ralser, Marie‐Laure Yaspo, Daniela Balzereit, Ilaria Piccini, Franziska Welzel, Mario Albrecht, Thomas Lengauer and Erich E. Wanker and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Human Molecular Genetics.

In The Last Decade

Ute Nonhoff

8 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ute Nonhoff Germany 7 513 283 181 85 67 8 649
Kaalak Reddy United States 11 775 1.5× 220 0.8× 217 1.2× 182 2.1× 29 0.4× 17 942
Yumiko Azuma Japan 14 233 0.5× 77 0.3× 173 1.0× 84 1.0× 53 0.8× 33 487
Yasuhide Hayashi Japan 9 374 0.7× 288 1.0× 140 0.8× 68 0.8× 249 3.7× 9 741
Jean-Michel Vallat France 11 448 0.9× 371 1.3× 220 1.2× 40 0.5× 135 2.0× 13 932
Mekhman Azizov Germany 7 272 0.5× 182 0.6× 135 0.7× 28 0.3× 37 0.6× 7 487
Panos Ioannou Australia 15 478 0.9× 239 0.8× 50 0.3× 115 1.4× 61 0.9× 26 632
Lorea Blázquez Spain 13 533 1.0× 60 0.2× 54 0.3× 35 0.4× 46 0.7× 21 676
C M Ambrose United States 9 437 0.9× 385 1.4× 207 1.1× 10 0.1× 28 0.4× 13 739
Justin D. Topp United States 8 336 0.7× 53 0.2× 101 0.6× 59 0.7× 140 2.1× 8 508
Charles A. Wuertzer United States 7 232 0.5× 194 0.7× 271 1.5× 41 0.5× 26 0.4× 8 524

Countries citing papers authored by Ute Nonhoff

Since Specialization
Citations

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

Fields of papers citing papers by Ute Nonhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Nonhoff

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

All Works

8 of 8 papers shown
1.
Konthur, Zoltán, Thomas Häupl, Franziska Welzel, et al.. (2021). The citrullinated/native index of autoantibodies against hnRNP-DL predicts an individual “window of treatment success” in RA patients. Arthritis Research & Therapy. 23(1). 239–239. 8 indexed citations
2.
Zubarev, Roman A., Vijay Joshua, Dirkjan van Schaardenburg, et al.. (2020). Bacterial citrullinated epitopes generated by Porphyromonas gingivalis infection—a missing link for ACPA production. Annals of the Rheumatic Diseases. 79(9). 1194–1202. 39 indexed citations
3.
Kaehler, Christian, Jörg Isensee, Ute Nonhoff, et al.. (2012). Ataxin-2-Like Is a Regulator of Stress Granules and Processing Bodies. PLoS ONE. 7(11). e50134–e50134. 84 indexed citations
4.
Klein, Holger, S. Wehrmeyer, Ute Nonhoff, et al.. (2010). The KRAB-containing zinc-finger transcriptional regulator ZBRK1 activates SCA2 gene transcription through direct interaction with its gene product, ataxin-2. Human Molecular Genetics. 20(1). 104–114. 33 indexed citations
5.
Nonhoff, Ute, Markus Ralser, Franziska Welzel, et al.. (2006). Ataxin-2 Interacts with the DEAD/H-Box RNA Helicase DDX6 and Interferes with P-Bodies and Stress Granules. Molecular Biology of the Cell. 18(4). 1385–1396. 276 indexed citations
6.
Ralser, Markus, Ute Nonhoff, Mario Albrecht, et al.. (2005). Ataxin-2 and huntingtin interact with endophilin-A complexes to function in plastin-associated pathways. Human Molecular Genetics. 14(19). 2893–2909. 81 indexed citations
7.
Ralser, Markus, Mario Albrecht, Ute Nonhoff, et al.. (2004). An Integrative Approach to Gain Insights into the Cellular Function of Human Ataxin-2. Journal of Molecular Biology. 346(1). 203–214. 126 indexed citations
8.
Schulze, Holger, Ute Nonhoff, François Villatte, Rolf D. Schmid, & Till T. Bachmann. (2004). Highly Sensitive Neurotoxin Detection Using Disposable Acetylcholinesterase Biosensors at Elevated Temperatures. Sensor Letters. 2(2). 121–124. 2 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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