Maya Burri

2.6k citations
10 papers · 2.2k indexed · 2 hit papers · h-index 10

Maya Burri

10 papers receiving 2.2k citations

Hit Papers

The role of localization of bicoid RNA in organizing the ...6441986202619992012200400600

Peers

Maya Burri
Comparison fields: 5 of 82
  • Aging 69
  • Molecular Biology 2.0k
  • Genetics 594
  • Cell Biology 265
  • Cellular and Molecular Neuroscience 291
Replace Gabriella Frigerio with:
Gabriella Frigerio United Kingdom
Urs Kloter Switzerland
Stephen Kerridge France
Rahul Warrior United States
H. Kluding Germany
Siu-Kwong Chan United States
Nadine McGinnis United States
Jacques Pradel France
Yacine Graba France
J. Robert S. Whittle United Kingdom
Maya Burri relative to Gabriella Frigerio United Kingdom Gabriella Frigerio's profile →
Citations per field
00.5×1.7×
Gabriella Frigerio · 1×
Citations per year

Countries citing papers authored by Maya Burri

Since Specialization
Citations

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

Fields of papers citing papers by Maya Burri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Maya Burri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Burri Line = papers co-authored together Maya Burri links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1992117
2 199126
3 1989176
4 1989143
5 198842
6
The role of localization of bicoid RNA in organizing the anterior pattern of the Drosophila embryo.breakdown →
1988644
7 1987192
8
Conservation of a large protein domain in the segmentation gene paired and in functionally related genes of Drosophilabreakdown →
1986429
9 1986435
10 198519

About Maya Burri

Maya Burri is a scholar working on Genetics, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Plant Science, having authored 10 papers that have together received 2.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Genomics and Chromatin Dynamics (5 papers), Animal Genetics and Reproduction (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), RNA Research and Splicing (2 papers), Plant Molecular Biology Research (1 paper), RNA modifications and cancer (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Aging (69 citations), Molecular Biology (2.0k citations), Genetics (594 citations), Cell Biology (265 citations) and Cellular and Molecular Neuroscience (291 citations). Maya Burri has collaborated with scholars based in Switzerland, Germany and Belgium. Frequent co-authors include Markus Noll, Daniel Bopp, Gabriella Frigerio, Stefan Baumgartner, Christiane Nüsslein‐Volhard, Élisabeth Jamet, Yvonne Tromvoukis, Alain Ghysen, Christine Dambly‐Chaudière and Patrick Spielmann. Their work appears in journals such as The EMBO Journal, Cell, Genes & Development, Cold Spring Harbor Symposia on Quantitative Biology and Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression.

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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