Matteo Da Ros

638 total citations
12 papers, 496 citations indexed

About

Matteo Da Ros is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Matteo Da Ros has authored 12 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Matteo Da Ros's work include Chromosomal and Genetic Variations (6 papers), CRISPR and Genetic Engineering (5 papers) and Animal Genetics and Reproduction (3 papers). Matteo Da Ros is often cited by papers focused on Chromosomal and Genetic Variations (6 papers), CRISPR and Genetic Engineering (5 papers) and Animal Genetics and Reproduction (3 papers). Matteo Da Ros collaborates with scholars based in Finland, Switzerland and France. Matteo Da Ros's co-authors include Noora Kotaja, Oliver Meikar, Hanna Korhonen, Jorma Toppari, Ram Prakash Yadav, Serge Nef, Marilena D. Papaioannou, Yannick Romero, Pedro L. Herrera and Frédéric Chalmel and has published in prestigious journals such as PLoS ONE, Journal of Neurochemistry and Experimental Cell Research.

In The Last Decade

Matteo Da Ros

12 papers receiving 492 citations

Peers

Matteo Da Ros

MB

RM

CR

GENET

PS

Shangying Liao China

Oliver Meikar Finland

Yannick Romero Switzerland

So Maezawa Japan

Miaofei Xu China

Sabrina Z. Jan Netherlands

Yanan Hai China

Suming Yang China

Julio M Castaneda United States

Yoon Hee Jung United States

Shangying Liao China

Matteo Da Ros

449 ×1.2

MB

231 ×1.5

RM

129 ×0.9

CR

224 ×1.9

GENET

69 ×0.6

PS

Citations per year, relative to Matteo Da Ros Matteo Da Ros (= 1×) peers Shangying Liao

Countries citing papers authored by Matteo Da Ros

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Da Ros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Da Ros. 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 Matteo Da Ros. The network helps show where Matteo Da Ros may publish in the future.

Co-authorship network of co-authors of Matteo Da Ros

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

All Works

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12 of 12 papers shown

1.

Homolka, David, et al.. (2023). Intermitochondrial cement (IMC) harbors piRNA biogenesis machinery and exonuclease domain‐containing proteins EXD1 and EXD2 in mouse spermatocytes. Andrology. 11(4). 710–723. 9 indexed citations

2.

Ros, Matteo Da, et al.. (2020). Wild‐type and mutant SOD1 localizes to RNA‐rich structures in cells and mice but does not bind RNA. Journal of Neurochemistry. 156(4). 524–538. 9 indexed citations

3.

Ros, Matteo Da, et al.. (2019). Enrichment of Pachytene Spermatocytes and Spermatids from Mouse Testes Using Standard Laboratory Equipment. Journal of Visualized Experiments. 19 indexed citations

4.

Ros, Matteo Da, et al.. (2019). Enrichment of Pachytene Spermatocytes and Spermatids from Mouse Testes Using Standard Laboratory Equipment. Journal of Visualized Experiments. 3 indexed citations

5.

Ros, Matteo Da, Daniel Fischer, Fuping Zhang, et al.. (2016). FYCO1 and autophagy control the integrity of the haploid male germ cell-specific RNP granules. Autophagy. 13(2). 302–321. 20 indexed citations

6.

Korhonen, Hanna, Ram Prakash Yadav, Matteo Da Ros, et al.. (2015). DICER Regulates the Formation and Maintenance of Cell-Cell Junctions in the Mouse Seminiferous Epithelium1. Biology of Reproduction. 93(6). 139–139. 25 indexed citations

7.

Meikar, Oliver, Vasily V. Vagin, Frédéric Chalmel, et al.. (2014). An atlas of chromatoid body components. RNA. 20(4). 483–495. 89 indexed citations

8.

Ros, Matteo Da, et al.. (2014). Retromer vesicles interact with RNA granules in haploid male germ cells. Molecular and Cellular Endocrinology. 401. 73–83. 6 indexed citations

9.

Meikar, Oliver, Matteo Da Ros, & Noora Kotaja. (2012). Epigenetic Regulation of Male Germ Cell Differentiation. Sub-cellular biochemistry. 61. 119–138. 29 indexed citations

10.

Korhonen, Hanna, Oliver Meikar, Ram Prakash Yadav, et al.. (2011). Dicer Is Required for Haploid Male Germ Cell Differentiation in Mice. PLoS ONE. 6(9). e24821–e24821. 123 indexed citations

11.

Meikar, Oliver, Matteo Da Ros, Hanna Korhonen, & Noora Kotaja. (2011). Chromatoid body and small RNAs in male germ cells. Reproduction. 142(2). 195–209. 130 indexed citations

12.

Meikar, Oliver, Matteo Da Ros, Heidi Liljenbäck, Jorma Toppari, & Noora Kotaja. (2010). Accumulation of piRNAs in the chromatoid bodies purified by a novel isolation protocol. Experimental Cell Research. 316(9). 1567–1575. 34 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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