Salah Ayoub

3.4k total citations · 2 hit papers
10 papers, 2.0k citations indexed

About

Salah Ayoub is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Salah Ayoub has authored 10 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Ecology, Evolution, Behavior and Systematics and 1 paper in Ecology. Recurrent topics in Salah Ayoub's work include RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA modifications and cancer (2 papers). Salah Ayoub is often cited by papers focused on RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA modifications and cancer (2 papers). Salah Ayoub collaborates with scholars based in Germany, United States and Spain. Salah Ayoub's co-authors include Nikolaus Rajewsky, Christine Kocks, Petar Glažar, Mireya Plass, Jonathan Alles, Luisa Schreyer, Carmen Birchmeier, Nikos Karaiskos, Filippos Klironomos and Vera Zywitza and has published in prestigious journals such as Science, The EMBO Journal and Nature Methods.

In The Last Decade

Salah Ayoub

10 papers receiving 1.9k citations

Hit Papers

Loss of a mammalian circular RNA locus causes miRNA dereg... 2017 2026 2020 2023 2017 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salah Ayoub Germany 10 1.8k 956 169 115 100 10 2.0k
Mireya Plass Spain 17 2.8k 1.6× 1.3k 1.4× 331 2.0× 96 0.8× 173 1.7× 26 3.1k
Jonas Maaskola United States 13 1.9k 1.1× 1.1k 1.1× 267 1.6× 30 0.3× 150 1.5× 13 2.4k
Gary L. Mantalas United States 10 1.5k 0.9× 360 0.4× 249 1.5× 127 1.1× 133 1.3× 11 2.1k
Petar Glažar Germany 10 4.8k 2.7× 4.0k 4.1× 140 0.8× 89 0.8× 50 0.5× 12 4.9k
Miler T. Lee United States 13 2.0k 1.1× 688 0.7× 109 0.6× 28 0.2× 25 0.3× 22 2.3k
Aviezer Lifshitz Israel 13 939 0.5× 195 0.2× 581 3.4× 51 0.4× 91 0.9× 20 1.6k
Dave Gennert United States 3 1.5k 0.9× 375 0.4× 439 2.6× 14 0.1× 144 1.4× 3 1.9k
David Lara‐Astiaso Spain 12 1.5k 0.9× 201 0.2× 533 3.2× 27 0.2× 86 0.9× 16 2.0k
Tetsutaro Hayashi Japan 25 2.2k 1.2× 515 0.5× 184 1.1× 725 6.3× 112 1.1× 65 2.7k
Jordi Solana United Kingdom 13 1.5k 0.8× 164 0.2× 263 1.6× 523 4.5× 176 1.8× 21 1.8k

Countries citing papers authored by Salah Ayoub

Since Specialization
Citations

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

Fields of papers citing papers by Salah Ayoub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salah Ayoub

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

All Works

10 of 10 papers shown
1.
Fromm, Bastian, Ivano Legnini, Salah Ayoub, et al.. (2022). MicroRNAs are deeply linked to the emergence of the complex octopus brain. Science Advances. 8(47). eadd9938–eadd9938. 21 indexed citations
2.
Graf, Robin, Jane Seagal, Kevin L. Otipoby, et al.. (2019). BCR-dependent lineage plasticity in mature B cells. Science. 363(6428). 748–753. 65 indexed citations
3.
Legnini, Ivano, Jonathan Alles, Nikos Karaiskos, Salah Ayoub, & Nikolaus Rajewsky. (2019). FLAM-seq: full-length mRNA sequencing reveals principles of poly(A) tail length control. Nature Methods. 16(9). 879–886. 101 indexed citations
4.
Schilling, Marcel, et al.. (2018). Spatiotemporal m(i)RNA Architecture and 3′ UTR Regulation in the C. elegans Germline. Developmental Cell. 47(6). 785–800.e8. 25 indexed citations
5.
Plass, Mireya, Jordi Solana, F. Alexander Wolf, et al.. (2018). Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics. Science. 360(6391). 288 indexed citations breakdown →
6.
Karaiskos, Nikos, Philipp Wahle, Jonathan Alles, et al.. (2017). The Drosophila embryo at single-cell transcriptome resolution. Science. 358(6360). 194–199. 249 indexed citations
7.
Piwecka, Monika, Petar Glažar, Luis R. Hernández-Miranda, et al.. (2017). Loss of a mammalian circular RNA locus causes miRNA deregulation and affects brain function. Science. 357(6357). 959 indexed citations breakdown →
8.
Alles, Jonathan, Nikos Karaiskos, Samantha D. Praktiknjo, et al.. (2017). Cell fixation and preservation for droplet-based single-cell transcriptomics. BMC Biology. 15(1). 44–44. 146 indexed citations
9.
Solana, Jordi, Manuel Irimia, Salah Ayoub, et al.. (2016). Conserved functional antagonism of CELF and MBNL proteins controls stem cell-specific alternative splicing in planarians. eLife. 5. 44 indexed citations
10.
Stoeckius, Marlon, Dominic Grün, Marieluise Kirchner, et al.. (2014). Global characterization of the oocyte‐to‐embryo transition in C aenorhabditis elegans uncovers a novel m RNA clearance mechanism. The EMBO Journal. 33(16). 1751–1766. 58 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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