Dorothée Bleckmann

463 total citations
9 papers, 334 citations indexed

About

Dorothée Bleckmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Dorothée Bleckmann has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Genetics. Recurrent topics in Dorothée Bleckmann's work include Muscle Physiology and Disorders (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Mitochondrial Function and Pathology (2 papers). Dorothée Bleckmann is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Mitochondrial Function and Pathology (2 papers). Dorothée Bleckmann collaborates with scholars based in Switzerland, United States and Italy. Dorothée Bleckmann's co-authors include Paolo Paganetti, Mario Bernhard, Herman van der Putten, Paolo Botta, Francesco Paolo Di Giorgio, Claus Rieker, Silvia Arber, Tewis Bouwmeester, Mathias Müller and Eline Pecho‐Vrieseling and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and Neurobiology of Aging.

In The Last Decade

Dorothée Bleckmann

9 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorothée Bleckmann Switzerland 8 228 172 81 40 38 9 334
S. Sebastian Pineda United States 6 221 1.0× 147 0.9× 73 0.9× 24 0.6× 35 0.9× 7 334
Julie Bruyère France 8 223 1.0× 238 1.4× 56 0.7× 37 0.9× 94 2.5× 11 410
Xiaobing Qing Germany 10 294 1.3× 157 0.9× 117 1.4× 39 1.0× 23 0.6× 13 434
Uri Nimrod Ramírez-Jarquín Mexico 10 278 1.2× 149 0.9× 146 1.8× 33 0.8× 31 0.8× 14 480
Youngshin Lim United States 12 334 1.5× 159 0.9× 110 1.4× 26 0.7× 120 3.2× 24 544
Elizabeth L. Calder United States 8 430 1.9× 192 1.1× 46 0.6× 19 0.5× 26 0.7× 9 589
Aneeza Kim United States 6 314 1.4× 246 1.4× 179 2.2× 51 1.3× 29 0.8× 10 520
Elena Sopova Sweden 7 214 0.9× 125 0.7× 37 0.5× 22 0.6× 99 2.6× 11 354
Yan Hong United States 9 497 2.2× 290 1.7× 92 1.1× 35 0.9× 47 1.2× 10 616
Luigi Citrigno Italy 11 160 0.7× 78 0.5× 101 1.2× 19 0.5× 42 1.1× 31 356

Countries citing papers authored by Dorothée Bleckmann

Since Specialization
Citations

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

Fields of papers citing papers by Dorothée Bleckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorothée Bleckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Dorothée Bleckmann. A scholar is included among the top collaborators of Dorothée Bleckmann 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 Dorothée Bleckmann. Dorothée Bleckmann 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.
Foerster, Katharina, Dorothée Bleckmann, Kazuo Umezawa, et al.. (2017). Microenvironmental stromal cells abrogate NF-κB inhibitor-induced apoptosis in chronic lymphocytic leukemia. Haematologica. 103(1). 136–147. 19 indexed citations
2.
Pecho‐Vrieseling, Eline, Claus Rieker, Dorothée Bleckmann, et al.. (2014). Transneuronal propagation of mutant huntingtin contributes to non–cell autonomous pathology in neurons. Nature Neuroscience. 17(8). 1064–1072. 133 indexed citations
3.
Bleckmann, Dorothée, et al.. (2013). A quantitative homogeneous assay for fragile X mental retardation 1 protein. Journal of Neurodevelopmental Disorders. 5(1). 8–8. 17 indexed citations
4.
Paganetti, Paolo, Julia Reichwald, Dorothée Bleckmann, et al.. (2013). Transgenic expression of β1 antibody in brain neurons impairs age-dependent amyloid deposition in APP23 mice. Neurobiology of Aging. 34(12). 2866–2878. 4 indexed citations
6.
Kegel, Kimberly B., Ellen Sapp, J. Steven Alexander, et al.. (2010). Huntingtin cleavage product A forms in neurons and is reduced by gamma-secretase inhibitors. Molecular Neurodegeneration. 5(1). 58–58. 16 indexed citations
7.
Paganetti, Paolo, et al.. (2009). Development of a Method for the High‐Throughput Quantification of Cellular Proteins. ChemBioChem. 10(10). 1678–1688. 19 indexed citations
8.
Bleckmann, Dorothée, Francesca Sciandra, Andrea Brancaccio, et al.. (2006). Activation of Muscle-specific Receptor Tyrosine Kinase and Binding to Dystroglycan Are Regulated by Alternative mRNA Splicing of Agrin. Journal of Biological Chemistry. 281(48). 36835–36845. 40 indexed citations
9.
Briguet, Alexandre, Dorothée Bleckmann, Mickaël Bettan, Nicolas Mermod, & Thomas Meier. (2003). Transcriptional activation of the utrophin promoter B by a constitutively active Ets-transcription factor. Neuromuscular Disorders. 13(2). 143–150. 10 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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