Victoria Steinmann

602 total citations
8 papers, 387 citations indexed

About

Victoria Steinmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Victoria Steinmann has authored 8 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Victoria Steinmann's work include RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). Victoria Steinmann is often cited by papers focused on RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). Victoria Steinmann collaborates with scholars based in Austria, Switzerland and Germany. Victoria Steinmann's co-authors include Juergen A. Knoblich, Harald Esterbauer, Thomas R. Burkard, Catarina C. F. Homem, Alexander Jaïs, François Bonnay, Robert P. Zinzen, Merve Deniz Abdusselamoglu, Thomas Köcher and Ilka Reichardt and has published in prestigious journals such as Cell, Development and Cellular and Molecular Life Sciences.

In The Last Decade

Victoria Steinmann

8 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victoria Steinmann Austria	8	300	89	77	46	36	8	387
Hideyuki Komori United States	13	413 1.4×	97 1.1×	68 0.9×	52 1.1×	54 1.5×	23	480
Roberto Bernardoni Italy	12	388 1.3×	164 1.8×	37 0.5×	72 1.6×	55 1.5×	24	536
Yvonne Rijksen Netherlands	6	337 1.1×	66 0.7×	42 0.5×	30 0.7×	57 1.6×	11	499
Rabi Murad United States	12	202 0.7×	39 0.4×	84 1.1×	48 1.0×	25 0.7×	34	397
Ali Fathi Iran	13	338 1.1×	44 0.5×	27 0.4×	21 0.5×	26 0.7×	15	448
Daniela Karra Austria	8	529 1.8×	127 1.4×	80 1.0×	31 0.7×	14 0.4×	10	643
Matthew G. Andrusiak Canada	10	274 0.9×	63 0.7×	55 0.7×	12 0.3×	32 0.9×	11	399
Parker L. Andersen Canada	12	507 1.7×	126 1.4×	115 1.5×	35 0.8×	49 1.4×	18	656
Marie-Laure Volvert Belgium	3	332 1.1×	104 1.2×	60 0.8×	14 0.3×	31 0.9×	4	449
Noriyuki Sugo Japan	12	432 1.4×	113 1.3×	78 1.0×	14 0.3×	32 0.9×	23	533

Countries citing papers authored by Victoria Steinmann

Since Specialization

Citations

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

Fields of papers citing papers by Victoria Steinmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Steinmann

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

All Works

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8 of 8 papers shown

Bonnay, François, Victoria Steinmann, Thomas Köcher, et al.. (2020). Oxidative Metabolism Drives Immortalization of Neural Stem Cells during Tumorigenesis. Cell. 182(6). 1490–1507.e19. 124 indexed citations

Steinmann, Victoria, François Bonnay, Thomas R. Burkard, et al.. (2018). The asymmetrically segregating lncRNA cherub is required for transforming stem cells into malignant cells. eLife. 7. 25 indexed citations

Reichardt, Ilka, François Bonnay, Victoria Steinmann, et al.. (2017). The tumor suppressor Brat controls neuronal stem cell lineages by inhibiting Deadpan and Zelda. EMBO Reports. 19(1). 102–117. 35 indexed citations

Burkard, Thomas R., Vivien Rolland, Victoria Steinmann, et al.. (2017). The splicing co-factor Barricade/Tat-SF1, is required for cell cycle and lineage progression inDrosophilaneural stem cells. Development. 144(21). 3932–3945. 8 indexed citations

Yasugi, Tetsuo, Peter Duchek, Elisabeth Roitinger, et al.. (2016). A Combination of CRISPR/Cas9 and Standardized RNAi as a Versatile Platform for the Characterization of Gene Function. G3 Genes Genomes Genetics. 6(8). 2467–2478. 10 indexed citations

Homem, Catarina C. F., Victoria Steinmann, Thomas R. Burkard, et al.. (2014). Ecdysone and Mediator Change Energy Metabolism to Terminate Proliferation in Drosophila Neural Stem Cells. Cell. 158(4). 874–888. 168 indexed citations

Honegger, C.G., et al.. (1974). Distribution of <sup>3</sup>H- and <sup>14</sup>C-Labelled Potential Neurotransmitters on a Discontinuous Density Gradient after Uptake into Rat Cerebral Cortex Slices. European Neurology. 12(4). 236–252. 8 indexed citations

Honegger, C.G., et al.. (1974). Distribution of H3-glycine and H3-l-glutamate in synaptosomal subpopulations after in vitro uptake into cat dorsal and ventral spinal cord slices. Cellular and Molecular Life Sciences. 30(4). 369–371. 9 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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