Maria Colomé‐Tatché

8.5k total citations · 3 hit papers
44 papers, 2.8k citations indexed

About

Maria Colomé‐Tatché is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Maria Colomé‐Tatché has authored 44 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Plant Science and 10 papers in Genetics. Recurrent topics in Maria Colomé‐Tatché's work include Plant Molecular Biology Research (12 papers), Single-cell and spatial transcriptomics (11 papers) and Epigenetics and DNA Methylation (11 papers). Maria Colomé‐Tatché is often cited by papers focused on Plant Molecular Biology Research (12 papers), Single-cell and spatial transcriptomics (11 papers) and Epigenetics and DNA Methylation (11 papers). Maria Colomé‐Tatché collaborates with scholars based in Germany, Netherlands and France. Maria Colomé‐Tatché's co-authors include Frank Johannes, Aaron Taudt, Fabian J. Theis, René Wardenaar, Ritsert C. Jansen, Anna Danese, Kridsadakorn Chaichoompu, Daniel Strobl, Marta Interlandi and Martin Dugas and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Maria Colomé‐Tatché

42 papers receiving 2.8k citations

Hit Papers

Benchmarking atlas-level data integ... 2014 2026 2018 2022 2021 2014 2019 100 200 300 400 500

Peers

Maria Colomé‐Tatché
Hervé Pagès United States
Ivan D. Bochkov United States
Nezar Abdennur United States
Rachel Patton McCord United States
Ye Zhan United States
Adrian L. Sanborn United States
Elena K. Stamenova United States
Hervé Pagès United States
Maria Colomé‐Tatché
Citations per year, relative to Maria Colomé‐Tatché Maria Colomé‐Tatché (= 1×) peers Hervé Pagès

Countries citing papers authored by Maria Colomé‐Tatché

Since Specialization
Citations

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

Fields of papers citing papers by Maria Colomé‐Tatché

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Colomé‐Tatché

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

All Works

20 of 20 papers shown
1.
Masserdotti, Giacomo, Tatiana Simon, Tamás Schauer, et al.. (2024). Direct neuronal reprogramming of mouse astrocytes is associated with multiscale epigenome remodeling and requires Yy1. Nature Neuroscience. 27(7). 1260–1273. 14 indexed citations
2.
Iturbide, Ane, Richard C. V. Tyser, Anna Danese, et al.. (2023). CIARA: a cluster-independent algorithm for identifying markers of rare cell types from single-cell sequencing data. Development. 150(11). 4 indexed citations
3.
Colomé‐Tatché, Maria, et al.. (2023). Single-cell metabolic profiling reveals subgroups of primary human hepatocytes with heterogeneous responses to drug challenge. Genome biology. 24(1). 234–234. 7 indexed citations
4.
Danese, Anna, et al.. (2021). EpiScanpy: integrated single-cell epigenomic analysis. Nature Communications. 12(1). 5228–5228. 73 indexed citations
5.
Luecken, Malte D., Maren Büttner, Kridsadakorn Chaichoompu, et al.. (2021). Benchmarking atlas-level data integration in single-cell genomics. Nature Methods. 19(1). 41–50. 544 indexed citations breakdown →
6.
Johannes, Frank, et al.. (2021). Region-level epimutation rates in Arabidopsis thaliana. Heredity. 127(2). 190–202. 28 indexed citations
7.
Yin, Kelvin, Anna Danese, Paul Coupland, et al.. (2021). Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy. Nature Communications. 12(1). 4264–4264. 47 indexed citations
8.
Schukken, Klaske M., Yu‐Chih Lin, Petra L. Bakker, et al.. (2020). Altering microtubule dynamics is synergistically toxic with spindle assembly checkpoint inhibition. Life Science Alliance. 3(2). e201900499–e201900499. 17 indexed citations
9.
Hanna, Courtney W., Raquel Pérez-Palacios, Lenka Gahurová, et al.. (2019). Endogenous retroviral insertions drive non-canonical imprinting in extra-embryonic tissues. Genome biology. 20(1). 225–225. 63 indexed citations
10.
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
11.
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
12.
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
13.
Taudt, Aaron, Maria Colomé‐Tatché, & Frank Johannes. (2016). Genetic sources of population epigenomic variation. Nature Reviews Genetics. 17(6). 319–332. 105 indexed citations
14.
Colomé‐Tatché, Maria & Frank Johannes. (2015). Signatures of Dobzhansky–Muller Incompatibilities in the Genomes of Recombinant Inbred Lines. Genetics. 202(2). 825–841. 10 indexed citations
15.
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
16.
Cortijo, Sandra, René Wardenaar, Maria Colomé‐Tatché, Frank Johannes, & Vincent Colot. (2014). Genome-Wide Analysis of DNA Methylation in Arabidopsis Using MeDIP-Chip. Methods in molecular biology. 1112. 125–149. 9 indexed citations
17.
Colomé‐Tatché, Maria, Sandra Cortijo, René Wardenaar, et al.. (2012). Features of the Arabidopsis recombination landscape resulting from the combined loss of sequence variation and DNA methylation. Proceedings of the National Academy of Sciences. 109(40). 16240–16245. 106 indexed citations
18.
Colomé‐Tatché, Maria & D. S. Petrov. (2011). Parametric Excitation of a 1D Gas in Integrable and Nonintegrable Cases. Physical Review Letters. 106(12). 125302–125302. 5 indexed citations
19.
Roux, Fabrice, Maria Colomé‐Tatché, René Wardenaar, et al.. (2011). Genome-Wide Epigenetic Perturbation Jump-Starts Patterns of Heritable Variation Found in Nature. Genetics. 188(4). 1015–1017. 83 indexed citations
20.
Colomé‐Tatché, Maria, et al.. (2010). Mott-Insulator Phases of Spin-3/2Fermions in the Presence of Quadratic Zeeman Coupling. Physical Review Letters. 105(5). 50402–50402. 20 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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