Julia Bussmann

866 total citations
9 papers, 510 citations indexed

About

Julia Bussmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Julia Bussmann has authored 9 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Julia Bussmann's work include Ubiquitin and proteasome pathways (3 papers), Click Chemistry and Applications (2 papers) and Hereditary Neurological Disorders (2 papers). Julia Bussmann is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Click Chemistry and Applications (2 papers) and Hereditary Neurological Disorders (2 papers). Julia Bussmann collaborates with scholars based in Germany, Netherlands and United States. Julia Bussmann's co-authors include Erik Storkebaum, Wei Xiang, Cord‐Michael Becker, Daniela C. Dieterich, Stefan Helling, Ines Erdmann, Johannes C. M. Schlachetzki, Marvin Berlinghof, Katrin Marcus and Jochen Klucken and has published in prestigious journals such as Science, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Julia Bussmann

9 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Bussmann Germany 8 330 151 124 82 77 9 510
Michail S. Kukharsky Russia 15 428 1.3× 201 1.3× 77 0.6× 153 1.9× 65 0.8× 33 668
Veronick Benoy Belgium 13 549 1.7× 134 0.9× 228 1.8× 88 1.1× 94 1.2× 16 805
Audrey Ragagnin Australia 9 189 0.6× 206 1.4× 65 0.5× 86 1.0× 76 1.0× 10 417
Miriam Sciaccaluga Italy 17 533 1.6× 110 0.7× 293 2.4× 107 1.3× 35 0.5× 41 878
R. Wagey Canada 13 333 1.0× 196 1.3× 139 1.1× 90 1.1× 57 0.7× 16 628
Sruti Rayaprolu United States 17 228 0.7× 275 1.8× 113 0.9× 132 1.6× 87 1.1× 31 612
Sebastian Hogl Germany 11 347 1.1× 147 1.0× 109 0.9× 303 3.7× 155 2.0× 14 784
Kathleen Seyb United States 14 214 0.6× 67 0.4× 183 1.5× 146 1.8× 91 1.2× 19 546
Kasey L. Jackson United States 10 291 0.9× 149 1.0× 70 0.6× 81 1.0× 45 0.6× 19 494
Caterina Peggion Italy 15 543 1.6× 186 1.2× 91 0.7× 178 2.2× 73 0.9× 34 735

Countries citing papers authored by Julia Bussmann

Since Specialization
Citations

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

Fields of papers citing papers by Julia Bussmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Bussmann

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

All Works

9 of 9 papers shown
1.
Zuko, Amila, Moushami Mallik, Emily L. Spaulding, et al.. (2021). tRNA overexpression rescues peripheral neuropathy caused by mutations in tRNA synthetase. Science. 373(6559). 1161–1166. 71 indexed citations
2.
Moens, Thomas G., Teresa Niccoli, Katherine Wilson, et al.. (2019). C9orf72 arginine-rich dipeptide proteins interact with ribosomal proteins in vivo to induce a toxic translational arrest that is rescued by eIF1A. Acta Neuropathologica. 137(3). 487–500. 83 indexed citations
3.
Mallik, Moushami, Clemens B. Hug, Li Zhang, et al.. (2018). Xrp1 genetically interacts with the ALS-associated FUS orthologue caz and mediates its toxicity. The Journal of Cell Biology. 217(11). 3947–3964. 20 indexed citations
4.
Bussmann, Julia & Erik Storkebaum. (2017). Molecular pathogenesis of peripheral neuropathies: insights from Drosophila models. Current Opinion in Genetics & Development. 44. 61–73. 11 indexed citations
5.
Erdmann, Ines, Oliver Kobler, Julia Bussmann, et al.. (2017). Cell Type-specific Metabolic Labeling of Proteins with Azidonorleucine in Drosophila. BIO-PROTOCOL. 7(14). e2397–e2397. 5 indexed citations
6.
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
7.
Erdmann, Ines, Oliver Kobler, Anke Müller, et al.. (2015). Cell-selective labelling of proteomes in Drosophila melanogaster. Nature Communications. 6(1). 7521–7521. 72 indexed citations
8.
Xiang, Wei, Johannes C. M. Schlachetzki, Stefan Helling, et al.. (2013). Oxidative stress-induced posttranslational modifications of alpha-synuclein: Specific modification of alpha-synuclein by 4-hydroxy-2-nonenal increases dopaminergic toxicity. Molecular and Cellular Neuroscience. 54. 71–83. 119 indexed citations
9.
Xiang, Wei, Volker Weisbach, Heinrich Sticht, et al.. (2012). Oxidative stress-induced posttranslational modifications of human hemoglobin in erythrocytes. Archives of Biochemistry and Biophysics. 529(1). 34–44. 34 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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