Maria Hubmann

725 total citations
4 papers, 211 citations indexed

About

Maria Hubmann is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Maria Hubmann has authored 4 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Plant Science and 1 paper in Cancer Research. Recurrent topics in Maria Hubmann's work include CRISPR and Genetic Engineering (3 papers), RNA Interference and Gene Delivery (1 paper) and Pluripotent Stem Cells Research (1 paper). Maria Hubmann is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), RNA Interference and Gene Delivery (1 paper) and Pluripotent Stem Cells Research (1 paper). Maria Hubmann collaborates with scholars based in Austria, Canada and United States. Maria Hubmann's co-authors include Georg Michlits, Ulrich Elling, Thomas R. Burkard, Gintautas Vainorius, Daniel Schramek, Dominic Hoepfner, Matthias Hinterndorfer, Melanie de Almeida, Sergei Zhuk and John Reece-Hoyes and has published in prestigious journals such as Nature Communications, Nature Methods and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

In The Last Decade

Maria Hubmann

4 papers receiving 209 citations

Peers

Maria Hubmann
Sarah Gharbi United Kingdom
Lauren G. Mascibroda United States
Jenny F. Nathans United States
Marissa N. Feeley United States
Hanneke Vlaming Netherlands
Audrey L Griffith United States
Corey M. Nemec United States
Maria Hubmann
Citations per year, relative to Maria Hubmann Maria Hubmann (= 1×) peers Gintautas Vainorius

Countries citing papers authored by Maria Hubmann

Since Specialization
Citations

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

Fields of papers citing papers by Maria Hubmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Hubmann

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

All Works

4 of 4 papers shown
1.
Michlits, Georg, Julian Jude, Matthias Hinterndorfer, et al.. (2020). Multilayered VBC score predicts sgRNAs that efficiently generate loss-of-function alleles. Nature Methods. 17(7). 708–716. 85 indexed citations
2.
Chylinski, Krzysztof, Maria Hubmann, Ruth E. Hanna, et al.. (2019). CRISPR-Switch regulates sgRNA activity by Cre recombination for sequential editing of two loci. Nature Communications. 10(1). 5454–5454. 27 indexed citations
3.
Michlits, Georg, Maria Hubmann, Gintautas Vainorius, et al.. (2017). CRISPR-UMI: single-cell lineage tracing of pooled CRISPR–Cas9 screens. Nature Methods. 14(12). 1191–1197. 85 indexed citations
4.
Hubmann, Maria, et al.. (2010). The relevance of oxidative stress and cytotoxic DNA lesions for spontaneous mutagenesis in non-replicating yeast cells. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 688(1-2). 47–52. 14 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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