Daniela C. Dieterich

9.2k total citations · 1 hit paper
65 papers, 4.0k citations indexed

About

Daniela C. Dieterich is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Daniela C. Dieterich has authored 65 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 18 papers in Cell Biology. Recurrent topics in Daniela C. Dieterich's work include Neuroscience and Neuropharmacology Research (18 papers), Click Chemistry and Applications (17 papers) and Biotin and Related Studies (10 papers). Daniela C. Dieterich is often cited by papers focused on Neuroscience and Neuropharmacology Research (18 papers), Click Chemistry and Applications (17 papers) and Biotin and Related Studies (10 papers). Daniela C. Dieterich collaborates with scholars based in Germany, United States and Israel. Daniela C. Dieterich's co-authors include David A. Tirrell, Erin M. Schuman, Johannes Graumann, A. James Link, Erin M. Schuman, Michael R. Kreutz, John T. Ngo, Eckart D. Gundelfinger, Peter Landgraf and Kimberly E. Beatty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Daniela C. Dieterich

64 papers receiving 4.0k citations

Hit Papers

Selective identification of newly synthesized proteins in... 2006 2026 2012 2019 2006 200 400 600

Peers

Daniela C. Dieterich
Daniela C. Dieterich
Citations per year, relative to Daniela C. Dieterich Daniela C. Dieterich (= 1×) peers Linda C. Hsieh‐Wilson

Countries citing papers authored by Daniela C. Dieterich

Since Specialization
Citations

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

Fields of papers citing papers by Daniela C. Dieterich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela C. Dieterich. 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 Daniela C. Dieterich. The network helps show where Daniela C. Dieterich may publish in the future.

Co-authorship network of co-authors of Daniela C. Dieterich

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela C. Dieterich. A scholar is included among the top collaborators of Daniela C. Dieterich 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 Daniela C. Dieterich. Daniela C. Dieterich 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.
Kröger, Andrea, et al.. (2024). Alteration of cGAS-STING signaling pathway components in the mouse cortex and hippocampus during healthy brain aging. Frontiers in Aging Neuroscience. 16. 1429005–1429005. 4 indexed citations
2.
Nossol, Constanze, Peter Landgraf, Michael Oster, et al.. (2024). Deoxynivalenol triggers the expression of IL-8-related signaling cascades and decreases protein biosynthesis in primary monocyte-derived cells. Mycotoxin Research. 40(2). 279–293. 2 indexed citations
3.
Hassan, Iman, et al.. (2024). Probing cognitive flexibility in Shank2-deficient mice: Effects of D-cycloserine and NMDAR signaling hub dynamics. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 134. 111051–111051. 2 indexed citations
4.
Dieterich, Daniela C., et al.. (2023). Cognitive Flexibility in Mice: Effects of Puberty and Role of NMDA Receptor Subunits. Cells. 12(9). 1212–1212. 4 indexed citations
5.
Dieterich, Daniela C., et al.. (2023). The GluN2C/D-specific positive allosteric modulator CIQ rescues delay-induced working memory deficits in mice. Behavioural Brain Research. 456. 114716–114716. 3 indexed citations
6.
French, T J, Nicole Israël, Johannes Steffen, et al.. (2021). The Immunoproteasome Subunits LMP2, LMP7 and MECL-1 Are Crucial Along the Induction of Cerebral Toxoplasmosis. Frontiers in Immunology. 12. 619465–619465. 14 indexed citations
7.
Gorny, Xenia, Evelyn Kahl, Peter Landgraf, et al.. (2019). Deficiency of the immunoproteasome subunit β5i/LMP7 supports the anxiogenic effects of mild stress and facilitates cued fear memory in mice. Brain Behavior and Immunity. 80. 35–43. 7 indexed citations
8.
Alvarez‐Castelao, Beatriz, Cyril Hanus, Caspar Glock, et al.. (2017). Cell-type-specific metabolic labeling of nascent proteomes in vivo. Nature Biotechnology. 35(12). 1196–1201. 146 indexed citations
9.
Fernández‐Orth, Juncal, Petra Ehling, Tobias Ruck, et al.. (2016). 14‐3‐3 Proteins regulate K2P5.1 surface expression on T lymphocytes. Traffic. 18(1). 29–43. 13 indexed citations
11.
Bussmann, Julia, Georg Steffes, Ines Erdmann, et al.. (2015). Impaired protein translation in Drosophila models for Charcot–Marie–Tooth neuropathy caused by mutant tRNA synthetases. Nature Communications. 6(1). 10497–10497. 95 indexed citations
12.
Fu, Ting, et al.. (2014). Tff3 is Expressed in Neurons and Microglial Cells. Cellular Physiology and Biochemistry. 34(6). 1912–1919. 17 indexed citations
13.
Landgraf, Peter, et al.. (2014). BONCAT: Metabolic Labeling, Click Chemistry, and Affinity Purification of Newly Synthesized Proteomes. Methods in molecular biology. 1266. 199–215. 54 indexed citations
14.
Hinz, Flora I., Daniela C. Dieterich, & Erin M. Schuman. (2013). Teaching old NCATs new tricks: using non-canonical amino acid tagging to study neuronal plasticity. Current Opinion in Chemical Biology. 17(5). 738–746. 35 indexed citations
15.
Taylor, Anne Marion, Daniela C. Dieterich, Hiroshi Ito, Sally A. Kim, & Erin M. Schuman. (2010). Microfluidic Local Perfusion Chambers for the Visualization and Manipulation of Synapses. Neuron. 66(1). 57–68. 222 indexed citations
16.
Dieterich, Daniela C.. (2010). Chemical reporters for the illumination of protein and cell dynamics. Current Opinion in Neurobiology. 20(5). 623–630. 15 indexed citations
17.
Dieterich, Daniela C., A. James Link, Johannes Graumann, David A. Tirrell, & Erin M. Schuman. (2006). Selective identification of newly synthesized proteins in mammalian cells using bioorthogonal noncanonical amino acid tagging (BONCAT). Proceedings of the National Academy of Sciences. 103(25). 9482–9487. 644 indexed citations breakdown →
18.
Beatty, Kimberly E., Julie C. Liu, Fang Xie, et al.. (2006). Fluorescence Visualization of Newly Synthesized Proteins in Mammalian Cells. Angewandte Chemie International Edition. 45(44). 7364–7367. 247 indexed citations
19.
Seidenbecher, Constanze I., Marco Landwehr, Karl‐Heinz Smalla, et al.. (2004). Caldendrin but not Calmodulin Binds to Light Chain 3 of MAP1A/B: An Association with the Microtubule Cytoskeleton Highlighting Exclusive Binding Partners for Neuronal Ca2+-sensor Proteins. Journal of Molecular Biology. 336(4). 957–970. 49 indexed citations
20.
Laube, Gregor, Constanze I. Seidenbecher, Karin Richter, et al.. (2002). The Neuron-Specific Ca2+-Binding Protein Caldendrin: Gene Structure, Splice Isoforms, and Expression in the Rat Central Nervous System. Molecular and Cellular Neuroscience. 19(3). 459–475. 69 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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