Michaela Schwaiger

1.6k total citations
18 papers, 1.1k citations indexed

About

Michaela Schwaiger is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Michaela Schwaiger has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Paleontology. Recurrent topics in Michaela Schwaiger's work include Genomics and Chromatin Dynamics (9 papers), Epigenetics and DNA Methylation (5 papers) and DNA Repair Mechanisms (4 papers). Michaela Schwaiger is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Epigenetics and DNA Methylation (5 papers) and DNA Repair Mechanisms (4 papers). Michaela Schwaiger collaborates with scholars based in Switzerland, Austria and United States. Michaela Schwaiger's co-authors include Dirk Schübeler, Edward J. Oakeley, Michael Stadler, Oliver Bell, Chia‐Wei Chang, Tomoki Yokochi, Yung Lyou, Ichiro Hiratani, David M. Gilbert and Tyrone Ryba and has published in prestigious journals such as Nature, Genes & Development and The EMBO Journal.

In The Last Decade

Michaela Schwaiger

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Schwaiger Switzerland 11 988 197 167 82 55 18 1.1k
O. I. Podgornaya Russia 15 617 0.6× 306 1.6× 142 0.9× 39 0.5× 44 0.8× 76 772
Alice Tay Singapore 13 617 0.6× 177 0.9× 287 1.7× 31 0.4× 58 1.1× 15 1.0k
Bruno Hudry France 18 596 0.6× 54 0.3× 217 1.3× 40 0.5× 89 1.6× 29 961
Florencia Del Viso United States 10 468 0.5× 63 0.3× 90 0.5× 60 0.7× 39 0.7× 18 587
Domitille Chalopin France 13 656 0.7× 454 2.3× 336 2.0× 19 0.2× 43 0.8× 22 1.1k
Vincent Laudet France 7 387 0.4× 114 0.6× 207 1.2× 50 0.6× 52 0.9× 8 581
Brandon J. Mannion United States 7 642 0.6× 110 0.6× 180 1.1× 23 0.3× 24 0.4× 8 766
Dai Tsuchiya United States 14 328 0.3× 157 0.8× 71 0.4× 44 0.5× 176 3.2× 37 513
Amit Anand Singapore 12 402 0.4× 203 1.0× 125 0.7× 19 0.2× 17 0.3× 16 492
Daniel A. Pollard United States 5 582 0.6× 146 0.7× 281 1.7× 42 0.5× 27 0.5× 6 759

Countries citing papers authored by Michaela Schwaiger

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Schwaiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Schwaiger

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

All Works

18 of 18 papers shown
1.
Soneson, Charlotte, Michael Stadler, Michaela Schwaiger, et al.. (2025). A comprehensive Schizosaccharomyces pombe atlas of physical transcription factor interactions with proteins and chromatin. Molecular Cell. 85(7). 1426–1444.e8. 1 indexed citations
2.
Schwaiger, Michaela, Vytautas Iešmantavičius, Hiromitsu Moriyama, et al.. (2024). Nitrogen signaling factor triggers a respiration-like gene expression program in fission yeast. The EMBO Journal. 43(20). 4604–4624. 3 indexed citations
3.
Schwaiger, Michaela, Fabio Mohn, Marc Bühler, & Lucas Kaaij. (2024). guidedNOMe-seq quantifies chromatin states at single allele resolution for hundreds of custom regions in parallel. BMC Genomics. 25(1). 732–732. 2 indexed citations
4.
Pandey, Aparna, Michaela Schwaiger, Fabio Mohn, et al.. (2024). ChAHP2 and ChAHP control diverse retrotransposons by complementary activities. Genes & Development. 38(11-12). 554–568. 2 indexed citations
5.
Bitsikas, Vassilis, et al.. (2024). Control of neuronal excitation–inhibition balance by BMP–SMAD1 signalling. Nature. 629(8011). 402–409. 16 indexed citations
6.
Flemr, Matyáš, Michaela Schwaiger, Daniel Heß, et al.. (2023). Mouse nuclear RNAi-defective 2 promotes splicing of weak 5′ splice sites. RNA. 29(8). 1140–1165. 1 indexed citations
7.
Schwaiger, Michaela, Carmen Andrikou, Periklis Paganos, et al.. (2022). An ancestral Wnt–Brachyury feedback loop in axial patterning and recruitment of mesoderm-determining target genes. Nature Ecology & Evolution. 6(12). 1921–1939. 17 indexed citations
8.
Somerville, Vincent, Michaela Schwaiger, Philipp Emanuel Hirsch, et al.. (2019). DNA Methylation Patterns in the Round Goby Hypothalamus Support an On-The-Spot Decision Scenario for Territorial Behavior. Genes. 10(3). 219–219. 8 indexed citations
9.
Adrian‐Kalchhauser, Irene, Jean‐Claude Walser, Michaela Schwaiger, & Patricia Burkhardt‐Holm. (2018). RNA sequencing of early round goby embryos reveals that maternal experiences can shape the maternal RNA contribution in a wild vertebrate. BMC Evolutionary Biology. 18(1). 34–34. 12 indexed citations
10.
Technau, Ulrich & Michaela Schwaiger. (2015). Recent advances in genomics and transcriptomics of cnidarians. Marine Genomics. 24. 131–138. 22 indexed citations
11.
Schwaiger, Michaela, Anna Schönauer, André F. Rendeiro, et al.. (2014). Evolutionary conservation of the eumetazoan gene regulatory landscape. Genome Research. 24(4). 639–650. 116 indexed citations
12.
Schwaiger, Michaela, Hubertus Kohler, Edward J. Oakeley, Michael Stadler, & Dirk Schübeler. (2010). Heterochromatin protein 1 (HP1) modulates replication timing of the Drosophila genome. Genome Research. 20(6). 771–780. 74 indexed citations
13.
Bell, Oliver, Michaela Schwaiger, Edward J. Oakeley, et al.. (2010). Accessibility of the Drosophila genome discriminates PcG repression, H4K16 acetylation and replication timing. Nature Structural & Molecular Biology. 17(7). 894–900. 91 indexed citations
14.
Schwaiger, Michaela, Dirk Schübeler, Hubertus Kohler, Edward J. Oakeley, & Michael Stadler. (2010). Heterochromatin protein 1 (HP1) modulates replication timing of the Drosophila genome. 2 indexed citations
15.
Schwaiger, Michaela, Michael Stadler, Oliver Bell, et al.. (2009). Chromatin state marks cell-type- and gender-specific replication of the Drosophila genome. Genes & Development. 23(5). 589–601. 129 indexed citations
16.
Hiratani, Ichiro, Tyrone Ryba, Tomoki Yokochi, et al.. (2008). Global Reorganization of Replication Domains During Embryonic Stem Cell Differentiation. PLoS Biology. 6(10). e245–e245. 424 indexed citations
17.
Bell, Oliver, C Wirbelauer, Marc Hild, et al.. (2007). Localized H3K36 methylation states define histone H4K16 acetylation during transcriptional elongation in Drosophila. The EMBO Journal. 26(24). 4974–4984. 136 indexed citations
18.
Schwaiger, Michaela & Dirk Schübeler. (2006). A question of timing: emerging links between transcription and replication. Current Opinion in Genetics & Development. 16(2). 177–183. 58 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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