Daniel Olivieri

903 total citations
7 papers, 581 citations indexed

About

Daniel Olivieri is a scholar working on Molecular Biology, Plant Science and Global and Planetary Change. According to data from OpenAlex, Daniel Olivieri has authored 7 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 1 paper in Global and Planetary Change. Recurrent topics in Daniel Olivieri's work include CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers) and Epigenetics and DNA Methylation (2 papers). Daniel Olivieri is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers) and Epigenetics and DNA Methylation (2 papers). Daniel Olivieri collaborates with scholars based in Austria, Switzerland and United States. Daniel Olivieri's co-authors include Julius Brennecke, Ravi Sachidanandam, Karl Mechtler, Kirsten-André Senti, Sai Lakshmi Subramanian, Katharina Meixner, Franz Gruber, Alexander Stark, Maria Novatchkova and Dominik Handler and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

Daniel Olivieri

7 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Olivieri Austria 7 514 365 71 47 29 7 581
Amit Anand Singapore 12 402 0.8× 203 0.6× 125 1.8× 29 0.6× 17 0.6× 16 492
Kin Chung Lam Germany 5 736 1.4× 265 0.7× 164 2.3× 45 1.0× 19 0.7× 5 815
Ai Khim Lim Singapore 6 515 1.0× 349 1.0× 84 1.2× 58 1.2× 17 0.6× 7 575
Paloma M. Guzzardo United States 9 737 1.4× 362 1.0× 119 1.7× 59 1.3× 26 0.9× 9 818
Monika Syrzycka Canada 7 758 1.5× 408 1.1× 71 1.0× 47 1.0× 27 0.9× 11 832
Adrien Le Thomas United States 9 738 1.4× 579 1.6× 69 1.0× 85 1.8× 95 3.3× 10 887
Alicia Rogers United States 8 563 1.1× 428 1.2× 58 0.8× 49 1.0× 10 0.3× 9 698
Yuzo Niki Japan 13 426 0.8× 237 0.6× 158 2.2× 22 0.5× 27 0.9× 19 531
Prashanth Rangan United States 18 923 1.8× 204 0.6× 169 2.4× 27 0.6× 45 1.6× 33 1.0k
Stephen Butcher United States 8 431 0.8× 94 0.3× 145 2.0× 22 0.5× 30 1.0× 9 569

Countries citing papers authored by Daniel Olivieri

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Olivieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Olivieri

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

All Works

7 of 7 papers shown
1.
Olivieri, Daniel, Yumiko Kawamura, Panagiotis Papasaikas, et al.. (2021). Cooperation between HDAC3 and DAX1 mediates lineage restriction of embryonic stem cells. The EMBO Journal. 40(12). e106818–e106818. 8 indexed citations
2.
Olivieri, Daniel, Anaïs F. Bardet, Daniel Heß, et al.. (2021). The BTB-domain transcription factor ZBTB2 recruits chromatin remodelers and a histone chaperone during the exit from pluripotency. Journal of Biological Chemistry. 297(2). 100947–100947. 15 indexed citations
3.
Ustyantsev, Kirill, Katrien De Mulder, Magda Grudniewska, et al.. (2017). Efficient transgenesis and annotated genome sequence of the regenerative flatworm model Macrostomum lignano. Nature Communications. 8(1). 2120–2120. 49 indexed citations
4.
Olivieri, Daniel, Kirsten-André Senti, Sai Lakshmi Subramanian, Ravi Sachidanandam, & Julius Brennecke. (2012). The Cochaperone Shutdown Defines a Group of Biogenesis Factors Essential for All piRNA Populations in Drosophila. Molecular Cell. 47(6). 954–969. 107 indexed citations
5.
Handler, Dominik, Daniel Olivieri, Maria Novatchkova, et al.. (2011). A systematic analysis of Drosophila TUDOR domain‐containing proteins identifies Vreteno and the Tdrd12 family as essential primary piRNA pathway factors. The EMBO Journal. 30(19). 3977–3993. 145 indexed citations
6.
Herranz, Héctor, Xin Hong, Lídia Pérez, et al.. (2010). The miRNA machinery targets Mei‐P26 and regulates Myc protein levels in the Drosophila wing. The EMBO Journal. 29(10). 1688–1698. 41 indexed citations
7.
Olivieri, Daniel, et al.. (2010). An in vivo RNAi assay identifies major genetic and cellular requirements for primary piRNA biogenesis in Drosophila. The EMBO Journal. 29(19). 3301–3317. 216 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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