Marylena Dabrowski

1.3k total citations
11 papers, 1.0k citations indexed

About

Marylena Dabrowski is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Marylena Dabrowski has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Oncology. Recurrent topics in Marylena Dabrowski's work include RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (5 papers). Marylena Dabrowski is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (5 papers). Marylena Dabrowski collaborates with scholars based in Germany, United States and France. Marylena Dabrowski's co-authors include C.M.T. Spahn, Knud H. Nierhaus, Enno Hartmann, Siegfried Prehn, Dirk Görlich, Ulrike Kutay, Peer Bork, Elisa Izaurralde, F. Ralf Bischoff and Jörg Wadzack and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Marylena Dabrowski

11 papers receiving 1.0k citations

Peers

Marylena Dabrowski

MB

CCM

GENET

PS

ID

Nikolay E. Shirokikh Australia

Vidya Dhote United States

Simon Pennell United Kingdom

Guido Grentzmann France

Bruno Sargueil France

Stefanie R. Schmid Switzerland

Katharina Semrad Austria

Eugene V. Sheval Russia

Kelsey Leong United States

Timothy R. Abbott United States

Nikolay E. Shirokikh Australia

Marylena Dabrowski

1.1k ×1.1

MB

134 ×0.9

CCM

81 ×0.6

GENET

80 ×1.1

PS

41 ×0.8

ID

Citations per year, relative to Marylena Dabrowski Marylena Dabrowski (= 1×) peers Nikolay E. Shirokikh

Countries citing papers authored by Marylena Dabrowski

Since Specialization

Citations

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

Fields of papers citing papers by Marylena Dabrowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marylena Dabrowski

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

All Works

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11 of 11 papers shown

1.

Schacherl, Magdalena, Anett Unbehaun, Birgit Schroeer, et al.. (2024). Transient disome complex formation in native polysomes during ongoing protein synthesis captured by cryo-EM. Nature Communications. 15(1). 1756–1756. 5 indexed citations

2.

Holm, Mikael, Emily J. Rundlet, J. Loerke, et al.. (2018). tRNA Translocation by the Eukaryotic 80S Ribosome and the Impact of GTP Hydrolysis. Cell Reports. 25(10). 2676–2688.e7. 54 indexed citations

3.

Yamamoto, Hiroshi, J. Loerke, Jochen Ismer, et al.. (2015). Molecular architecture of the ribosome‐bound Hepatitis C Virus internal ribosomal entry site RNA. The EMBO Journal. 34(24). 3042–3058. 70 indexed citations

4.

Connell, Sean R., Chie Takemoto, Daniel N. Wilson, et al.. (2007). Structural Basis for Interaction of the Ribosome with the Switch Regions of GTP-Bound Elongation Factors. Molecular Cell. 25(5). 751–764. 139 indexed citations

5.

Schüler, Martin, Sean R. Connell, Aurélie Lescoute, et al.. (2006). Structure of the ribosome-bound cricket paralysis virus IRES RNA. Nature Structural & Molecular Biology. 13(12). 1092–1096. 156 indexed citations

6.

Dabrowski, Marylena & Knud H. Nierhaus. (2003). Synthesis and Site-Specific Binding of Thioated tRNAs to Probe Ribosome-tRNA Interactions. Humana Press eBooks. 77. 413–426. 1 indexed citations

7.

Dabrowski, Marylena, et al.. (1998). Protection Patterns of tRNAs Do Not Change during Ribosomal Translocation. Journal of Biological Chemistry. 273(49). 32793–32800. 33 indexed citations

8.

Görlich, Dirk, Marylena Dabrowski, F. Ralf Bischoff, et al.. (1997). A Novel Class of RanGTP Binding Proteins. The Journal of Cell Biology. 138(1). 65–80. 366 indexed citations

9.

Nierhaus, Knud H., D. Beyer, Marylena Dabrowski, et al.. (1995). The elongating ribosome: structural and functional aspects. Biochemistry and Cell Biology. 73(11-12). 1011–1021. 21 indexed citations

10.

Triana‐Alonso, Francisco J., Marylena Dabrowski, Jörg Wadzack, & Knud H. Nierhaus. (1995). Self-coded 3′-Extension of Run-off Transcripts Produces Aberrant Products during in Vitro Transcription with T7 RNA Polymerase. Journal of Biological Chemistry. 270(11). 6298–6307. 160 indexed citations

11.

Dabrowski, Marylena, C.M.T. Spahn, & K.H. Nierhaus. (1995). Interaction of tRNAs with the ribosome at the A and P sites.. The EMBO Journal. 14(19). 4872–4882. 32 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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