Maria Mircea

1.9k total citations · 1 hit paper
5 papers, 646 citations indexed

About

Maria Mircea is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Maria Mircea has authored 5 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Cell Biology. Recurrent topics in Maria Mircea's work include Single-cell and spatial transcriptomics (3 papers), Pluripotent Stem Cells Research (2 papers) and Cancer Cells and Metastasis (1 paper). Maria Mircea is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Pluripotent Stem Cells Research (2 papers) and Cancer Cells and Metastasis (1 paper). Maria Mircea collaborates with scholars based in Netherlands, Italy and Germany. Maria Mircea's co-authors include Lukas M. Simon, Fabian J. Theis, Nikola S. Mueller, Gökçen Eraslan, Stefan Semrau, Mazène Hochane, Roeland M. H. Merks, Sander J. Tans, Timon Idema and Patrick R. van den Berg and has published in prestigious journals such as Nature Communications, Genome biology and Stem Cells.

In The Last Decade

Maria Mircea

5 papers receiving 642 citations

Hit Papers

Single-cell RNA-seq denoising using a deep count autoencoder 2019 2026 2021 2023 2019 200 400 600
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.

  1. Single-cell RNA-seq denoising using a deep count autoencoder
    2019 611 citations Gökçen Eraslan, Lukas M. Simon et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Mircea Netherlands 4 587 162 146 57 49 5 646
Lieke Michielsen Netherlands 4 390 0.7× 96 0.6× 124 0.8× 30 0.5× 65 1.3× 8 413
Ren Qi China 8 527 0.9× 132 0.8× 101 0.7× 76 1.3× 46 0.9× 14 638
F. William Townes United States 8 624 1.1× 150 0.9× 108 0.7× 32 0.6× 62 1.3× 15 730
Zhi‐Jie Cao China 5 414 0.7× 86 0.5× 74 0.5× 22 0.4× 61 1.2× 5 467
Haotian Cui Canada 5 400 0.7× 59 0.4× 82 0.6× 43 0.8× 34 0.7× 9 537
Jiaqiang Zhu China 9 612 1.0× 101 0.6× 95 0.7× 26 0.5× 101 2.1× 16 729
Mohsen Naghipourfar United States 3 360 0.6× 62 0.4× 125 0.9× 22 0.4× 65 1.3× 4 412
Anna Danese Germany 5 593 1.0× 120 0.7× 163 1.1× 16 0.3× 114 2.3× 8 690
Daniel Sumner Magruder Germany 5 251 0.4× 97 0.6× 52 0.4× 38 0.7× 25 0.5× 7 359
Svetlana Gribkova France 4 367 0.6× 117 0.7× 64 0.4× 23 0.4× 36 0.7× 4 434

Countries citing papers authored by Maria Mircea

Since Specialization
Citations

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

Fields of papers citing papers by Maria Mircea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Mircea

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

All Works

5 of 5 papers shown
1.
Mircea, Maria, et al.. (2024). The shapes of elongating gastruloids are consistent with convergent extension driven by a combination of active cell crawling and differential adhesion. PLoS Computational Biology. 20(2). e1011825–e1011825. 12 indexed citations
2.
Cao, Xu, Maria Mircea, Gopala Krishna Yakala, et al.. (2022). ETV2 Upregulation Marks the Specification of Early Cardiomyocytes and Endothelial Cells During Co-differentiation. Stem Cells. 41(2). 140–152. 1 indexed citations
3.
Mircea, Maria, Mazène Hochane, Xueying Fan, et al.. (2022). Phiclust: a clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations. Genome biology. 23(1). 18–18. 7 indexed citations
4.
Mircea, Maria, Patrick R. van den Berg, Mazène Hochane, et al.. (2022). A gastruloid model of the interaction between embryonic and extra-embryonic cell types. Journal of Tissue Engineering. 13. 1768593346–1768593346. 15 indexed citations
5.
Eraslan, Gökçen, Lukas M. Simon, Maria Mircea, Nikola S. Mueller, & Fabian J. Theis. (2019). Single-cell RNA-seq denoising using a deep count autoencoder. Nature Communications. 10(1). 390–390. 611 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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