Aaron Taudt

1.7k total citations
13 papers, 931 citations indexed

About

Aaron Taudt is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Aaron Taudt has authored 13 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Aaron Taudt's work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (5 papers) and Single-cell and spatial transcriptomics (4 papers). Aaron Taudt is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (5 papers) and Single-cell and spatial transcriptomics (4 papers). Aaron Taudt collaborates with scholars based in Germany, Netherlands and Canada. Aaron Taudt's co-authors include Maria Colomé‐Tatché, Frank Johannes, René Wardenaar, Victor Guryev, Ruth G. Shaw, Drexel A. Neumann, Ritsert C. Jansen, Adriaan van der Graaf, Robert J. Schmitz and Peter M. Lansdorp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Nature Reviews Genetics.

In The Last Decade

Aaron Taudt

13 papers receiving 925 citations

Peers

Aaron Taudt

MB

GENET

PS

CR

CB

Vanja Haberle Austria

Ragnhild Eskeland Norway

Sari Pennings United Kingdom

Audra Johnson United States

Alejandra Loyola Chile

Nicolas Simonis Belgium

Anca M. Farcas United Kingdom

Martin Leeb United Kingdom

Galt P Barber United States

Agnès Le Saux France

Vanja Haberle Austria

Aaron Taudt

1.2k ×1.9

MB

240 ×1.0

GENET

179 ×0.9

PS

134 ×0.8

CR

27 ×0.3

CB

Citations per year, relative to Aaron Taudt Aaron Taudt (= 1×) peers Vanja Haberle

Countries citing papers authored by Aaron Taudt

Since Specialization

Citations

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

Fields of papers citing papers by Aaron Taudt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Taudt

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

All Works

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13 of 13 papers shown

1.

Porubský, David, Ashley D. Sanders, Aaron Taudt, et al.. (2019). breakpointR: an R/Bioconductor package to localize strand state changes in Strand-seq data. Bioinformatics. 36(4). 1260–1261. 20 indexed citations

2.

Roquis, David, Aaron Taudt, Kathrin K. Geyer, et al.. (2018). Histone methylation changes are required for life cycle progression in the human parasite Schistosoma mansoni. PLoS Pathogens. 14(5). e1007066–e1007066. 29 indexed citations

3.

Bos, Hilda van den, Björn Bakker, Aaron Taudt, et al.. (2018). Quantification of Aneuploidy in Mammalian Systems. Methods in molecular biology. 1896. 159–190. 23 indexed citations

4.

Taudt, Aaron, David Roquis, Amaryllis Vidalis, et al.. (2018). METHimpute: imputation-guided construction of complete methylomes from WGBS data. BMC Genomics. 19(1). 444–444. 27 indexed citations

5.

Kebede, Adam F, Lara Zorro Shahidian, Stéphanie Le Gras, et al.. (2017). Histone propionylation is a mark of active chromatin. Nature Structural & Molecular Biology. 24(12). 1048–1056. 143 indexed citations

6.

Hanna, Courtney W., Aaron Taudt, Jiahao Huang, et al.. (2017). MLL2 conveys transcription-independent H3K4 trimethylation in oocytes. Nature Structural & Molecular Biology. 25(1). 73–82. 117 indexed citations

7.

Bos, Hilda van den, Diana C.J. Spierings, Aaron Taudt, et al.. (2016). Single-cell whole genome sequencing reveals no evidence for common aneuploidy in normal and Alzheimer’s disease neurons. Genome biology. 17(1). 116–116. 93 indexed citations

8.

Taudt, Aaron, Maria Colomé‐Tatché, & Frank Johannes. (2016). Genetic sources of population epigenomic variation. Nature Reviews Genetics. 17(6). 319–332. 105 indexed citations

9.

Bakker, Björn, Aaron Taudt, Mirjam E. Belderbos, et al.. (2016). Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies. Genome biology. 17(1). 115–115. 142 indexed citations

10.

Taudt, Aaron, Axel Arnold, & Jürgen Pleiss. (2015). Simulation of protein association: Kinetic pathways towards crystal contacts. Physical Review E. 91(3). 33311–33311. 13 indexed citations

11.

Heinig, Matthias, Maria Colomé‐Tatché, Aaron Taudt, et al.. (2015). histoneHMM: Differential analysis of histone modifications with broad genomic footprints. BMC Bioinformatics. 16(1). 60–60. 13 indexed citations

12.

Graaf, Adriaan van der, René Wardenaar, Drexel A. Neumann, et al.. (2015). Rate, spectrum, and evolutionary dynamics of spontaneous epimutations. Proceedings of the National Academy of Sciences. 112(21). 6676–6681. 192 indexed citations

13.

Berryman, Joshua T., et al.. (2014). The Flexible Rare Event Sampling Harness System (FRESHS). Computer Physics Communications. 185(7). 1875–1885. 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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