Ursula E. Schoeberl

481 total citations
9 papers, 286 citations indexed

About

Ursula E. Schoeberl is a scholar working on Molecular Biology, Ecology and Immunology. According to data from OpenAlex, Ursula E. Schoeberl has authored 9 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Immunology. Recurrent topics in Ursula E. Schoeberl's work include Genomics and Chromatin Dynamics (4 papers), Protist diversity and phylogeny (3 papers) and Microbial Community Ecology and Physiology (2 papers). Ursula E. Schoeberl is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Protist diversity and phylogeny (3 papers) and Microbial Community Ecology and Physiology (2 papers). Ursula E. Schoeberl collaborates with scholars based in Austria, Germany and Brazil. Ursula E. Schoeberl's co-authors include Kazufumi Mochizuki, Tomoko Noto, Henriette Kurth, Tobias Neumann, Rushad Pavri, Kensuke Kataoka, Lukas Rajkowitsch, Arndt von Haeseler, Tanja Gesell and Bob Zimmermann and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ursula E. Schoeberl

8 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ursula E. Schoeberl Austria	7	266	70	59	51	18	9	286
Daniel P. Romero United States	11	479 1.8×	66 0.9×	113 1.9×	48 0.9×	8 0.4×	16	527
Stanislava Gunišová Czechia	15	837 3.1×	37 0.5×	74 1.3×	36 0.7×	15 0.8×	20	889
Franziska Jönsson Germany	16	504 1.9×	146 2.1×	141 2.4×	134 2.6×	16 0.9×	29	549
Anil K Kesarwani United States	5	331 1.2×	32 0.5×	104 1.8×	38 0.7×	12 0.7×	7	398
Kihoon Yoon United States	7	223 0.8×	19 0.3×	43 0.7×	63 1.2×	13 0.7×	10	298
Raymond A. Poot Netherlands	8	401 1.5×	44 0.6×	89 1.5×	71 1.4×	16 0.9×	11	437
Petra Beznosková Czechia	11	493 1.9×	34 0.5×	27 0.5×	27 0.5×	15 0.8×	13	534
Markus Gößringer Germany	11	510 1.9×	68 1.0×	43 0.7×	136 2.7×	4 0.2×	17	529
Anthony G. Russell Canada	10	525 2.0×	49 0.7×	58 1.0×	29 0.6×	4 0.2×	12	553

Countries citing papers authored by Ursula E. Schoeberl

Since Specialization

Citations

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

Fields of papers citing papers by Ursula E. Schoeberl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursula E. Schoeberl. 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 Ursula E. Schoeberl. The network helps show where Ursula E. Schoeberl may publish in the future.

Co-authorship network of co-authors of Ursula E. Schoeberl

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

All Works

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9 of 9 papers shown

Schoeberl, Ursula E., Johanna Fitz, Renan Valieris, et al.. (2025). Regulation of somatic hypermutation by higher-order chromatin structure. Molecular Cell. 85(14). 2701–2717.e9.

Malzl, Daniel, Stefano Gnan, Kyle N. Klein, et al.. (2023). RIF1 regulates early replication timing in murine B cells. Nature Communications. 14(1). 8049–8049. 8 indexed citations

Schoeberl, Ursula E., Daniel Malzl, Johanna Fitz, et al.. (2023). A de novo transcription-dependent TAD boundary underpins critical multiway interactions during antibody class switch recombination. Molecular Cell. 83(5). 681–697.e7. 6 indexed citations

Neumann, Tobias, et al.. (2022). DNA replication timing directly regulates the frequency of oncogenic chromosomal translocations. Science. 377(6612). eabj5502–eabj5502. 28 indexed citations

Fitz, Johanna, et al.. (2020). Spt5-mediated enhancer transcription directly couples enhancer activation with physical promoter interaction. Nature Genetics. 52(5). 505–515. 50 indexed citations

Schoeberl, Ursula E., Henriette Kurth, Tomoko Noto, & Kazufumi Mochizuki. (2012). Biased transcription and selective degradation of small RNAs shape the pattern of DNA elimination in Tetrahymena. Genes & Development. 26(15). 1729–1742. 55 indexed citations

Schoeberl, Ursula E. & Kazufumi Mochizuki. (2011). Keeping the Soma Free of Transposons: Programmed DNA Elimination in Ciliates. Journal of Biological Chemistry. 286(43). 37045–37052. 31 indexed citations

Lorenz, Christina, Tanja Gesell, Bob Zimmermann, et al.. (2010). Genomic SELEX for Hfq-binding RNAs identifies genomic aptamers predominantly in antisense transcripts. Nucleic Acids Research. 38(11). 3794–3808. 75 indexed citations

Kataoka, Kensuke, Ursula E. Schoeberl, & Kazufumi Mochizuki. (2010). Modules for C-terminal epitope tagging of Tetrahymena genes. Journal of Microbiological Methods. 82(3). 342–346. 33 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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