Maria Ninova

2.2k total citations
23 papers, 887 citations indexed

About

Maria Ninova is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Maria Ninova has authored 23 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Plant Science and 7 papers in Cancer Research. Recurrent topics in Maria Ninova's work include Chromosomal and Genetic Variations (8 papers), Genomics and Chromatin Dynamics (6 papers) and RNA modifications and cancer (5 papers). Maria Ninova is often cited by papers focused on Chromosomal and Genetic Variations (8 papers), Genomics and Chromatin Dynamics (6 papers) and RNA modifications and cancer (5 papers). Maria Ninova collaborates with scholars based in United States, United Kingdom and Russia. Maria Ninova's co-authors include Alexei A. Aravin, Katalin Fejes Tóth, Sam Griffiths‐Jones, Matthew Ronshaugen, Yicheng Luo, Yung-Chia Ariel Chen, Andrey Kulbachinskiy, Anton Kuzmenko, Daria Esyunina and Petrova Ma and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Maria Ninova

23 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Ninova United States	16	744	340	132	112	80	23	887
Laure Teysset France	16	801 1.1×	510 1.5×	157 1.2×	106 0.9×	46 0.6×	23	916
Ally Yang Canada	15	842 1.1×	529 1.6×	151 1.1×	35 0.3×	51 0.6×	23	1.2k
Alissa Resch United States	14	906 1.2×	149 0.4×	210 1.6×	91 0.8×	75 0.9×	18	1.0k
M. Tanguy United Kingdom	9	481 0.6×	257 0.8×	94 0.7×	188 1.7×	32 0.4×	12	731
Sachi Inagaki Japan	11	1.0k 1.4×	571 1.7×	169 1.3×	160 1.4×	30 0.4×	13	1.2k
Sergei Ryazansky Russia	16	982 1.3×	549 1.6×	149 1.1×	97 0.9×	152 1.9×	33	1.1k
Alexandre Webster United States	8	714 1.0×	493 1.4×	124 0.9×	90 0.8×	19 0.2×	8	951
Antti Aalto Finland	13	475 0.6×	201 0.6×	85 0.6×	122 1.1×	92 1.1×	14	697
Paloma M. Guzzardo United States	9	737 1.0×	362 1.1×	119 0.9×	59 0.5×	22 0.3×	9	818

Countries citing papers authored by Maria Ninova

Since Specialization

Citations

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

Fields of papers citing papers by Maria Ninova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Ninova

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

All Works

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20 of 20 papers shown

Frazier, Jean A., T. Brian, Kun Wu, et al.. (2025). Histone chaperones coupled to DNA replication and transcription control divergent chromatin elements to maintain cell fate. Genes & Development. 39(9-10). 652–675. 1 indexed citations

Carranza, Francisco, et al.. (2024). Current state and future prospects of spatial biology in colorectal cancer. Frontiers in Oncology. 14. 1513821–1513821. 14 indexed citations

Ninova, Maria, et al.. (2023). SUMOylation of Bonus, the Drosophila homolog of Transcription Intermediary Factor 1, safeguards germline identity by recruiting repressive chromatin complexes to silence tissue-specific genes. eLife. 12. 2 indexed citations

Ninova, Maria, et al.. (2023). Pervasive SUMOylation of heterochromatin and piRNA pathway proteins. Cell Genomics. 3(7). 100329–100329. 6 indexed citations

Kuzmenko, Anton, et al.. (2020). Genome-wide DNA sampling by Ago nuclease from the cyanobacterium Synechococcus elongatus. RNA Biology. 17(5). 677–688. 44 indexed citations

Luo, Yicheng, et al.. (2020). Repression of interrupted and intact rDNA by the SUMO pathway in Drosophila melanogaster. eLife. 9. 13 indexed citations

Kuzmenko, Anton, Daria Esyunina, Denis Yudin, et al.. (2020). DNA targeting and interference by a bacterial Argonaute nuclease. Nature. 587(7835). 632–637. 136 indexed citations

Ninova, Maria, Yung-Chia Ariel Chen, Yicheng Luo, et al.. (2019). The SUMO Ligase Su(var)2-10 Controls Hetero- and Euchromatic Gene Expression via Establishing H3K9 Trimethylation and Negative Feedback Regulation. Molecular Cell. 77(3). 571–585.e4. 39 indexed citations

Ninova, Maria, Yung-Chia Ariel Chen, Alicia Rogers, et al.. (2019). Su(var)2-10 and the SUMO Pathway Link piRNA-Guided Target Recognition to Chromatin Silencing. Molecular Cell. 77(3). 556–570.e6. 70 indexed citations

10.

Kotov, Alexei A., et al.. (2019). piRNA silencing contributes to interspecies hybrid sterility and reproductive isolation in Drosophila melanogaster. Nucleic Acids Research. 47(8). 4255–4271. 36 indexed citations

11.

Ciabrelli, Filippo, Federico Comoglio, Simon Fellous, et al.. (2017). Stable Polycomb-dependent transgenerational inheritance of chromatin states in Drosophila. Nature Genetics. 49(6). 876–886. 73 indexed citations

12.

Ninova, Maria, Sam Griffiths‐Jones, & Matthew Ronshaugen. (2017). Abundant expression of somatic transposon-derived piRNAs throughout Tribolium castaneum embryogenesis. Genome biology. 18(1). 184–184. 20 indexed citations

13.

Chen, Yung-Chia Ariel, Yicheng Luo, Maria Ninova, et al.. (2016). Cutoff Suppresses RNA Polymerase II Termination to Ensure Expression of piRNA Precursors. Molecular Cell. 63(1). 97–109. 96 indexed citations

14.

Hur, Junho K., Yicheng Luo, Sungjin Moon, et al.. (2016). Splicing-independent loading of TREX on nascent RNA is required for efficient expression of dual-strand piRNA clusters in Drosophila. Genes & Development. 30(7). 840–855. 64 indexed citations

15.

Ninova, Maria, Matthew Ronshaugen, & Sam Griffiths‐Jones. (2015). MicroRNA evolution, expression, and function during short germband development in Tribolium castaneum. Genome Research. 26(1). 85–96. 34 indexed citations

16.

Gardner, Paul P., Mario Fasold, Sarah Burge, et al.. (2015). Conservation and Losses of Non-Coding RNAs in Avian Genomes. PLoS ONE. 10(3). e0121797–e0121797. 13 indexed citations

17.

Ninova, Maria, Matthew Ronshaugen, & Sam Griffiths‐Jones. (2014). Conserved Temporal Patterns of MicroRNA Expression in Drosophila Support a Developmental Hourglass Model. Genome Biology and Evolution. 6(9). 2459–2467. 16 indexed citations

18.

Kozomara, Ana, et al.. (2014). Target Repression Induced by Endogenous microRNAs: Large Differences, Small Effects. PLoS ONE. 9(8). e104286–e104286. 26 indexed citations

19.

Ninova, Maria, Matthew Ronshaugen, & Sam Griffiths‐Jones. (2014). Fast-evolving microRNAs are highly expressed in the early embryo of Drosophila virilis. RNA. 20(3). 360–372. 29 indexed citations

20.

Marco, Antonio De, Maria Ninova, & Sam Griffiths‐Jones. (2013). Multiple products from microRNA transcripts. Biochemical Society Transactions. 41(4). 850–854. 19 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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