Anne‐Ruxandra Carvunis

7.8k total citations · 1 hit paper
35 papers, 1.9k citations indexed

About

Anne‐Ruxandra Carvunis is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Anne‐Ruxandra Carvunis has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Anne‐Ruxandra Carvunis's work include RNA and protein synthesis mechanisms (10 papers), Fungal and yeast genetics research (9 papers) and Bioinformatics and Genomic Networks (8 papers). Anne‐Ruxandra Carvunis is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Fungal and yeast genetics research (9 papers) and Bioinformatics and Genomic Networks (8 papers). Anne‐Ruxandra Carvunis collaborates with scholars based in United States, France and Ireland. Anne‐Ruxandra Carvunis's co-authors include Trey Ideker, S. Branden Van Oss, Sanath Kumar Ramesh, Marc Vidal, Michael E. Cusick, Nicolas Simonis, Nikolaos Vakirlis, Aoife McLysaght, Ilan Wapinski and Aviv Regev and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Anne‐Ruxandra Carvunis

34 papers receiving 1.9k citations

Hit Papers

Integrative approaches for finding modular structure in b... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne‐Ruxandra Carvunis United States 17 1.6k 344 254 131 122 35 1.9k
Sylvain Poux Switzerland 18 1.6k 1.0× 301 0.9× 254 1.0× 103 0.8× 149 1.2× 28 2.0k
Daniel Barrell United Kingdom 12 1.6k 1.0× 230 0.7× 255 1.0× 140 1.1× 103 0.8× 14 2.1k
Benoît Charloteaux Belgium 23 1.4k 0.9× 222 0.6× 164 0.6× 84 0.6× 100 0.8× 35 1.8k
Nomi L. Harris United States 18 1.7k 1.1× 494 1.4× 304 1.2× 63 0.5× 102 0.8× 44 2.4k
Rasmus Wernersson Denmark 15 1.1k 0.7× 264 0.8× 204 0.8× 63 0.5× 137 1.1× 27 1.6k
Andrew Yates United Kingdom 14 1.1k 0.7× 317 0.9× 321 1.3× 43 0.3× 93 0.8× 30 1.6k
Kengo Sato Japan 22 2.2k 1.4× 303 0.9× 346 1.4× 150 1.1× 303 2.5× 64 2.7k
Sébastien Moretti Switzerland 16 1.6k 1.0× 362 1.1× 357 1.4× 63 0.5× 217 1.8× 28 2.3k
John W. Pinney United Kingdom 21 1.3k 0.9× 227 0.7× 242 1.0× 124 0.9× 86 0.7× 39 2.1k
Emily Dimmer United Kingdom 14 1.4k 0.9× 177 0.5× 163 0.6× 122 0.9× 65 0.5× 19 1.7k

Countries citing papers authored by Anne‐Ruxandra Carvunis

Since Specialization
Citations

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

Fields of papers citing papers by Anne‐Ruxandra Carvunis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Ruxandra Carvunis. 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 Anne‐Ruxandra Carvunis. The network helps show where Anne‐Ruxandra Carvunis may publish in the future.

Co-authorship network of co-authors of Anne‐Ruxandra Carvunis

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

All Works

20 of 20 papers shown
1.
Skinnider, Michael A., Katja Luck, M. Shahid Mukhtar, et al.. (2025). What is the current bottleneck in mapping molecular interaction networks?. Cell Systems. 16(5). 101295–101295.
2.
Vakirlis, Nikolaos, et al.. (2024). Ancestral Sequence Reconstruction as a Tool to Detect and Study De Novo Gene Emergence. Genome Biology and Evolution. 16(8). 11 indexed citations
3.
Lee, Jiwon, et al.. (2024). Integrative detection of genome-wide translation using iRibo. STAR Protocols. 5(1). 102826–102826. 1 indexed citations
4.
Wacholder, Aaron, et al.. (2024). Constructive neutral evolution of homodimer to heterodimer transition. Trends in Biochemical Sciences. 49(12). 1036–1038. 1 indexed citations
5.
Wacholder, Aaron, et al.. (2023). A vast evolutionarily transient translatome contributes to phenotype and fitness. Cell Systems. 14(5). 363–381.e8. 31 indexed citations
6.
Wacholder, Aaron & Anne‐Ruxandra Carvunis. (2023). Biological factors and statistical limitations prevent detection of most noncanonical proteins by mass spectrometry. PLoS Biology. 21(12). e3002409–e3002409. 17 indexed citations
7.
Zhang, She, et al.. (2022). Elastic network modeling of cellular networks unveils sensor and effector genes that control information flow. PLoS Computational Biology. 18(5). e1010181–e1010181. 5 indexed citations
8.
Guénolé, Aude, Aymeric Chartier, Anne‐Ruxandra Carvunis, et al.. (2022). RNF219 regulates CCR4-NOT function in mRNA translation and deadenylation. Scientific Reports. 12(1). 9288–9288. 4 indexed citations
9.
Coelho, Nelson Castilho, et al.. (2021). LI Detector: a framework for sensitive colony-based screens regardless of the distribution of fitness effects. G3 Genes Genomes Genetics. 11(2). 3 indexed citations
10.
Vakirlis, Nikolaos, Brian Hsu, Nelson Castilho Coelho, et al.. (2021). Author Correction: De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences. Nature Communications. 12(1). 200–200. 1 indexed citations
11.
Vakirlis, Nikolaos, Brian Hsu, Nelson Castilho Coelho, et al.. (2020). De novo emergence of adaptive membrane proteins from thymine-rich genomic sequences. Nature Communications. 11(1). 781–781. 81 indexed citations
12.
Vakirlis, Nikolaos, Anne‐Ruxandra Carvunis, & Aoife McLysaght. (2020). Synteny-based analyses indicate that sequence divergence is not the main source of orphan genes. eLife. 9. 96 indexed citations
13.
Nartey, Charisse M., et al.. (2019). The meanings of 'function' in biology and the problematic case of de novo gene emergence. eLife. 8. 48 indexed citations
14.
Oss, S. Branden Van & Anne‐Ruxandra Carvunis. (2019). De novo gene birth. PLoS Genetics. 15(5). e1008160–e1008160. 189 indexed citations
15.
Domazet‐Lošo, Tomislav, Anne‐Ruxandra Carvunis, M. Mar Albà, et al.. (2016). No evidence for phylostratigraphic bias impacting inferences on patterns of gene emergence and evolution. Molecular Biology and Evolution. 34(4). msw284–msw284. 55 indexed citations
16.
Carvunis, Anne‐Ruxandra & Trey Ideker. (2014). Siri of the Cell: What Biology Could Learn from the iPhone. Cell. 157(3). 534–538. 21 indexed citations
17.
Carvunis, Anne‐Ruxandra, et al.. (2013). Integrative approaches for finding modular structure in biological networks. Nature Reviews Genetics. 14(10). 719–732. 362 indexed citations breakdown →
18.
Feinbaum, Rhonda, Jonathan M. Urbach, Nicole T. Liberati, et al.. (2012). Genome-Wide Identification of Pseudomonas aeruginosa Virulence-Related Genes Using a Caenorhabditis elegans Infection Model. PLoS Pathogens. 8(7). e1002813–e1002813. 137 indexed citations
19.
Cusick, Michael E., Haiyuan Yu, Alex Smolyar, et al.. (2008). Literature-curated protein interaction datasets. Nature Methods. 6(1). 39–46. 212 indexed citations
20.
Li, Qianru, Anne‐Ruxandra Carvunis, Haiyuan Yu, et al.. (2008). Revisiting the Saccharomyces cerevisiae predicted ORFeome. Genome Research. 18(8). 1294–1303. 23 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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