D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Genetics D-index 71 Citations 37,158 164 World Ranking 1462 National Ranking 26

Research.com Recognitions

Awards & Achievements

2014 - Member of Academia Europaea

Member of the European Molecular Biology Organization (EMBO)

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • DNA
  • Gene expression

Mihaela Zavolan mainly investigates Genetics, microRNA, RNA, Small RNA and Genome. Genetics is closely attributed to Computational biology in her work. Mihaela Zavolan has included themes like Regulation of gene expression, Gene silencing and Gene expression profiling in her microRNA study.

Her work carried out in the field of Regulation of gene expression brings together such families of science as IsomiR, Gene expression and Mirtron. Her Small RNA research includes elements of Non-coding RNA, RNA silencing and Zebrafish. Her Transcriptome study incorporates themes from Human genome and Genomics.

Her most cited work include:

  • A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing (3057 citations)
  • A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing (3057 citations)
  • The Transcriptional Landscape of the Mammalian Genome (2876 citations)

What are the main themes of her work throughout her whole career to date?

Her primary scientific interests are in Genetics, Computational biology, RNA, microRNA and Cell biology. Her work is connected to Gene, Untranslated region, Genome, Alternative splicing and Gene expression profiling, as a part of Genetics. As part of her studies on Genome, she frequently links adjacent subjects like Small RNA.

Her research on Computational biology also deals with topics like

  • Human genome that connect with fields like Genomics,
  • DNA microarray and related Conserved sequence. Her research in RNA focuses on subjects like Immunoprecipitation, which are connected to Plasma protein binding and Coding region. Her microRNA research is multidisciplinary, incorporating perspectives in Gene expression, Argonaute, Molecular biology, Regulation of gene expression and Gene silencing.

She most often published in these fields:

  • Genetics (46.63%)
  • Computational biology (44.38%)
  • RNA (34.27%)

What were the highlights of her more recent work (between 2018-2021)?

  • Cell biology (28.65%)
  • RNA (34.27%)
  • Transcriptome (12.92%)

In recent papers she was focusing on the following fields of study:

Her scientific interests lie mostly in Cell biology, RNA, Transcriptome, RNA splicing and Cell type. The various areas that she examines in her Cell biology study include Argonaute, microRNA, Gene, RNA-binding protein and Ribosome. Her RNA research is multidisciplinary, incorporating elements of Transcription, Computational biology and Immunoprecipitation.

Her studies in Computational biology integrate themes in fields like Polyadenylation and Gene isoform. The Transcriptome study combines topics in areas such as Regulation of gene expression and Exon. Mihaela Zavolan has researched RNA splicing in several fields, including HEK 293 cells, Binding site and Alternative splicing.

Between 2018 and 2021, her most popular works were:

  • Alternative cleavage and polyadenylation in health and disease (89 citations)
  • Protein synthesis rates and ribosome occupancies reveal determinants of translation elongation rates. (53 citations)
  • PolyASite 2.0: a consolidated atlas of polyadenylation sites from 3′ end sequencing (25 citations)

In her most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Gene expression

Mihaela Zavolan focuses on Cell biology, Protein biosynthesis, Gene isoform, Computational biology and RNA splicing. Her Cell biology research incorporates themes from Translational readthrough, Nuclear localization sequence, RNA silencing and microRNA. Her biological study spans a wide range of topics, including Human genome and RNA, Polyadenylation, Messenger RNA, Cleavage and polyadenylation specificity factor.

Her research on RNA frequently links to adjacent areas such as Cleavage. Her study in Computational biology is interdisciplinary in nature, drawing from both Transcriptome, Genome, Directionality, Exon and Sequence analysis. Her RNA splicing research incorporates elements of 7SK RNA, RNA-binding protein, Small nuclear RNA, Small nucleolar RNA and RNA polymerase II.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A mammalian microRNA expression atlas based on small RNA library sequencing.

Pablo Landgraf;Mirabela Rusu;Robert Sheridan;Alain Sewer;Alain Sewer.
Cell (2007)

4233 Citations

The Transcriptional Landscape of the Mammalian Genome

P. Carninci;T. Kasukawa;S. Katayama;J. Gough.
Science (2005)

3849 Citations

Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP

Markus Hafner;Markus Landthaler;Lukas Burger;Mohsen Khorshid.
Cell (2010)

2926 Citations

Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

Y. Okazaki;M. Furuno;T. Kasukawa;J. Adachi.
Nature (2002)

2008 Citations

Identification of Virus-Encoded MicroRNAs

Sébastien Pfeffer;Mihaela Zavolan;Friedrich A. Grässer;Minchen Chien.
Science (2004)

1971 Citations

A novel class of small RNAs bind to MILI protein in mouse testes

Alexei Aravin;Dimos Gaidatzis;Sébastien Pfeffer;Sébastien Pfeffer;Sébastien Pfeffer;Mariana Lagos-Quintana.
Nature (2006)

1536 Citations

Identification of microRNAs of the herpesvirus family

Sébastien Pfeffer;Alain Sewer;Mariana Lagos-Quintana;Robert Sheridan.
Nature Methods (2005)

1437 Citations

The small RNA profile during Drosophila melanogaster development

Alexei A. Aravin;Mariana Lagos-Quintana;Abdullah Yalcin;Mihaela Zavolan.
Developmental Cell (2003)

1222 Citations

MicroRNAs 103 and 107 regulate insulin sensitivity

Mirko Trajkovski;Jean Hausser;Jean Hausser;Jiirgen Soutschek;Bal Bhat.
Nature (2011)

983 Citations

miR-375 maintains normal pancreatic α- and β-cell mass

Matthew N. Poy;Jean Hausser;Mirko Trajkovski;Matthias Braun.
Proceedings of the National Academy of Sciences of the United States of America (2009)

843 Citations

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