Rachel Kraut

3.2k total citations
41 papers, 2.6k citations indexed

About

Rachel Kraut is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Rachel Kraut has authored 41 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Cell Biology and 10 papers in Biophysics. Recurrent topics in Rachel Kraut's work include Lipid Membrane Structure and Behavior (24 papers), Cellular transport and secretion (9 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). Rachel Kraut is often cited by papers focused on Lipid Membrane Structure and Behavior (24 papers), Cellular transport and secretion (9 papers) and Advanced Fluorescence Microscopy Techniques (9 papers). Rachel Kraut collaborates with scholars based in Singapore, United States and Germany. Rachel Kraut's co-authors include Michael Levine, José A. Campos‐Ortega, Kai Zinn, Lily Yeh Jan, Juergen A. Knoblich, William Chia, Yuh Nung Jan, Thorsten Wohland, Scott A. Small and Rahul Warrior and has published in prestigious journals such as Nature, Cell and Journal of Neuroscience.

In The Last Decade

Rachel Kraut

41 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rachel Kraut 2.1k 673 474 307 285 41 2.6k
Keiji Ibata 2.3k 1.1× 633 0.9× 733 1.5× 208 0.7× 318 1.1× 27 3.1k
Michael Zavortink 1.7k 0.8× 1.0k 1.5× 333 0.7× 253 0.8× 293 1.0× 26 2.3k
Brian D. Slaughter 2.6k 1.2× 1.1k 1.7× 203 0.4× 319 1.0× 231 0.8× 76 3.3k
Damian Brunner 2.6k 1.2× 2.2k 3.3× 456 1.0× 393 1.3× 147 0.5× 41 3.5k
Manuel D. Leonetti 2.2k 1.0× 276 0.4× 364 0.8× 123 0.4× 219 0.8× 33 2.7k
Kenneth E. Prehoda 3.0k 1.4× 2.3k 3.4× 582 1.2× 189 0.6× 261 0.9× 60 4.2k
Stefano De Renzis 1.8k 0.8× 1.4k 2.1× 405 0.9× 246 0.8× 169 0.6× 32 2.6k
Alexander Emelyanov 3.4k 1.6× 791 1.2× 208 0.4× 509 1.7× 554 1.9× 62 4.6k
Jean‐Paul Vincent 3.8k 1.8× 1.8k 2.6× 715 1.5× 237 0.8× 496 1.7× 73 4.6k
Marie‐Christine Dabauvalle 1.5k 0.7× 528 0.8× 587 1.2× 83 0.3× 234 0.8× 35 2.1k

Countries citing papers authored by Rachel Kraut

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Kraut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Kraut

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Kraut. A scholar is included among the top collaborators of Rachel Kraut 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 Rachel Kraut. Rachel Kraut 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.
Osborne, Kathleen Amy, et al.. (2019). The BEACH Domain Is Critical for Blue Cheese Function in a Spatial and Epistatic Autophagy Hierarchy. Frontiers in Cell and Developmental Biology. 7. 129–129. 5 indexed citations
2.
Kraut, Rachel & Elisabeth Knust. (2019). Changes in endolysosomal organization define a pre-degenerative state in the crumbs mutant Drosophila retina. PLoS ONE. 14(12). e0220220–e0220220. 6 indexed citations
3.
Kamm, Roger D., et al.. (2018). Evidence from ITIR-FCS Diffusion Studies that the Amyloid-Beta (Aβ) Peptide Does Not Perturb Plasma Membrane Fluidity in Neuronal Cells. Journal of Molecular Biology. 430(18). 3439–3453. 7 indexed citations
4.
Wang, Yaofeng, Rachel Kraut, & Yuguang Mu. (2015). Aβ1-25-Derived Sphingolipid-Domain Tracer Peptide SBD Interacts with Membrane Ganglioside Clusters via a Coil-Helix-Coil Motif. International Journal of Molecular Sciences. 16(11). 26318–26332. 2 indexed citations
5.
Hebbar, Sarita, Artur Matysik, Kathleen Amy Osborne, et al.. (2015). Ceramides And Stress Signalling Intersect With Autophagic Defects In Neurodegenerative Drosophila blue cheese (bchs) Mutants. Scientific Reports. 5(1). 15926–15926. 18 indexed citations
6.
7.
Bag, Nirmalya, Jagadish Sankaran, Alexandra Paul, Rachel Kraut, & Thorsten Wohland. (2012). Calibration and Limits of Camera‐Based Fluorescence Correlation Spectroscopy: A Supported Lipid Bilayer Study. ChemPhysChem. 13(11). 2784–2794. 58 indexed citations
8.
Kraut, Rachel. (2011). Roles of sphingolipids in Drosophila development and disease. Journal of Neurochemistry. 116(5). 764–778. 54 indexed citations
9.
Wohland, Thorsten, Jagadish Sankaran, Manoj Manna, & Rachel Kraut. (2011). Imaging Total Internal Reflection Fluorescence Correlation Spectroscopy (ITIR-FCS) Detects Multiple Lipid Domains on Live Cell Membranes. Biophysical Journal. 100(3). 475a–475a. 1 indexed citations
10.
Lee, Esther, et al.. (2010). Glycolipid Trafficking inDrosophilaUndergoes Pathway Switching in Response to Aberrant Cholesterol Levels. Molecular Biology of the Cell. 21(5). 778–790. 18 indexed citations
11.
Sankaran, Jagadish, Manoj Manna, Lin Guo, Rachel Kraut, & Thorsten Wohland. (2009). Diffusion, Transport, and Cell Membrane Organization Investigated by Imaging Fluorescence Cross-Correlation Spectroscopy. Biophysical Journal. 97(9). 2630–2639. 72 indexed citations
12.
Lim, Angeline & Rachel Kraut. (2009). TheDrosophilaBEACH Family Protein, Blue Cheese, Links Lysosomal Axon Transport with Motor Neuron Degeneration. Journal of Neuroscience. 29(4). 951–963. 33 indexed citations
13.
Steinert, Steffen, Esther Lee, Guillaume Tresset, et al.. (2008). A Fluorescent Glycolipid-Binding Peptide Probe Traces Cholesterol Dependent Microdomain-Derived Trafficking Pathways. PLoS ONE. 3(8). e2933–e2933. 23 indexed citations
14.
Hebbar, Sarita, Esther Lee, Manoj Manna, et al.. (2008). A fluorescent sphingolipid binding domain peptide probe interacts with sphingolipids and cholesterol-dependent raft domains. Journal of Lipid Research. 49(5). 1077–1089. 45 indexed citations
15.
Kraut, Rachel, et al.. (2008). Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing. BioData Mining. 1(1). 10–10. 3 indexed citations
16.
Kraut, Rachel & Kai Zinn. (2004). Roundabout 2 Regulates Migration of Sensory Neurons by Signaling In trans. Current Biology. 14(15). 1319–1329. 38 indexed citations
17.
Kraut, Rachel, Kaushiki P. Menon, & Kai Zinn. (2001). A gain-of-function screen for genes controlling motor axon guidance and synaptogenesis in Drosophila. Current Biology. 11(6). 417–430. 158 indexed citations
18.
Kraut, Rachel & José A. Campos‐Ortega. (1996). inscuteable,A Neural Precursor Gene ofDrosophila,Encodes a Candidate for a Cytoskeleton Adaptor Protein. Developmental Biology. 174(1). 65–81. 151 indexed citations
19.
Kraut, Rachel, William Chia, Lily Yeh Jan, Yuh Nung Jan, & Juergen A. Knoblich. (1996). Role of inscuteable in orienting asymmetric cell divisions in Drosophila. Nature. 383(6595). 50–55. 325 indexed citations
20.

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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