Uta-Maria Bauer

1.3k total citations · 1 hit paper
6 papers, 1.0k citations indexed

About

Uta-Maria Bauer is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Uta-Maria Bauer has authored 6 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 0 papers in Infectious Diseases. Recurrent topics in Uta-Maria Bauer's work include Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (4 papers) and Cancer-related Molecular Pathways (2 papers). Uta-Maria Bauer is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (4 papers) and Cancer-related Molecular Pathways (2 papers). Uta-Maria Bauer collaborates with scholars based in Germany, United Kingdom and United States. Uta-Maria Bauer's co-authors include Tony Kouzarides, Marian A. Martínez‐Balbás, Søren Jensby Nielsen, Alexander Brehm, Claudia Stein, Yali Dou, Emile Schiltz, James J. Hsieh, Axel Imhof and J. A. H. Murray and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and The EMBO Journal.

In The Last Decade

Uta-Maria Bauer

6 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Regulation of E2F1 activity by acetylation

2000 559 citations Marian A. Martínez‐Balbás, Uta-Maria Bauer et al. The EMBO Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uta-Maria Bauer Germany	6	945	218	87	69	62	6	1.0k
Shivani Malik United States	15	665 0.7×	205 0.9×	52 0.6×	41 0.6×	79 1.3×	35	841
Manjula Agarwal United States	9	699 0.7×	153 0.7×	42 0.5×	59 0.9×	116 1.9×	11	793
Andy D. Tran United States	14	747 0.8×	219 1.0×	36 0.4×	64 0.9×	85 1.4×	34	922
Daniel Soronellas Spain	10	618 0.7×	158 0.7×	84 1.0×	134 1.9×	100 1.6×	11	747
Kasey Jividen United States	11	512 0.5×	209 1.0×	35 0.4×	73 1.1×	67 1.1×	15	695
Neri Minsky Israel	8	827 0.9×	220 1.0×	37 0.4×	64 0.9×	75 1.2×	11	977
Dawn Farrar United Kingdom	11	717 0.8×	247 1.1×	52 0.6×	185 2.7×	82 1.3×	16	837
Kazutsune Yamagata Japan	12	474 0.5×	81 0.4×	77 0.9×	48 0.7×	112 1.8×	21	538
Alo Ray United States	15	720 0.8×	124 0.6×	68 0.8×	36 0.5×	80 1.3×	28	829
France Docquier United Kingdom	10	681 0.7×	192 0.9×	47 0.5×	177 2.6×	72 1.2×	15	784

Countries citing papers authored by Uta-Maria Bauer

Since Specialization

Citations

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

Fields of papers citing papers by Uta-Maria Bauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uta-Maria Bauer

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

All Works

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6 of 6 papers shown

1.

Bouchard, Caroline, Marco B. Rust, Elisabeth Kremmer, et al.. (2018). Genomic Location of PRMT6-Dependent H3R2 Methylation Is Linked to the Transcriptional Outcome of Associated Genes. Cell Reports. 24(12). 3339–3352. 44 indexed citations

2.

Stein, Claudia, et al.. (2012). The arginine methyltransferase PRMT6 regulates cell proliferation and senescence through transcriptional repression of tumor suppressor genes. Nucleic Acids Research. 40(19). 9522–9533. 75 indexed citations

3.

Stein, Claudia, Emile Schiltz, Axel Imhof, et al.. (2007). PRMT6-mediated methylation of R2 in histone H3 antagonizes H3 K4 trimethylation. Genes & Development. 21(24). 3369–3380. 235 indexed citations

4.

Bálint, Bálint L., Attila Szántó, András Mádi, et al.. (2005). Arginine Methylation Provides Epigenetic Transcription Memory for Retinoid-Induced Differentiation in Myeloid Cells. Molecular and Cellular Biology. 25(13). 5648–5663. 49 indexed citations

5.

Jager, Sarah M. de, Margit Menges, Uta-Maria Bauer, & J. A. H. Murray. (2001). Arabidopsis E2F1 binds a sequence present in the promoter of S-phase-regulated gene AtCDC6 and is a member of a multigene family with differential activities. Plant Molecular Biology. 47(4). 555–568. 84 indexed citations

6.

Martínez‐Balbás, Marian A., Uta-Maria Bauer, Søren Jensby Nielsen, Alexander Brehm, & Tony Kouzarides. (2000). Regulation of E2F1 activity by acetylation. The EMBO Journal. 19(4). 662–671. 559 indexed citations breakdown →

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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