Ilan Davis

6.8k total citations
99 papers, 4.3k citations indexed

About

Ilan Davis is a scholar working on Molecular Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ilan Davis has authored 99 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 25 papers in Biophysics and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ilan Davis's work include RNA Research and Splicing (43 papers), Advanced Fluorescence Microscopy Techniques (22 papers) and Genomics and Chromatin Dynamics (19 papers). Ilan Davis is often cited by papers focused on RNA Research and Splicing (43 papers), Advanced Fluorescence Microscopy Techniques (22 papers) and Genomics and Chromatin Dynamics (19 papers). Ilan Davis collaborates with scholars based in United Kingdom, United States and France. Ilan Davis's co-authors include Richard M. Parton, Gavin S. Wilkie, Carine Meignin, Ian M. Dobbie, David Ish‐Horowicz, Alejandra Clark, Russell S. Hamilton, Aino I. Järvelin, Timothy T Weil and Hille Tekotte and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ilan Davis

98 papers receiving 4.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ilan Davis 3.2k 956 581 547 362 99 4.3k
Nathalie Daigle 3.5k 1.1× 915 1.0× 620 1.1× 303 0.6× 442 1.2× 31 4.4k
Jay R. Unruh 3.1k 1.0× 1.4k 1.5× 453 0.8× 354 0.6× 252 0.7× 111 4.4k
Peter M. Carlton 2.6k 0.8× 872 0.9× 1.5k 2.6× 417 0.8× 252 0.7× 40 4.6k
Alistair N. Boettiger 5.3k 1.6× 402 0.4× 738 1.3× 898 1.6× 560 1.5× 44 6.1k
Dawen Cai 1.9k 0.6× 1.5k 1.5× 715 1.2× 180 0.3× 281 0.8× 54 3.8k
Marko Kaksonen 5.0k 1.5× 4.4k 4.6× 656 1.1× 401 0.7× 298 0.8× 63 7.3k
Timothée Lionnet 4.2k 1.3× 343 0.4× 1.1k 1.8× 247 0.5× 373 1.0× 50 5.4k
Roland Wedlich‐Söldner 3.6k 1.1× 3.0k 3.1× 598 1.0× 552 1.0× 547 1.5× 60 6.3k
Khuloud Jaqaman 2.4k 0.7× 1.3k 1.3× 800 1.4× 161 0.3× 211 0.6× 42 3.6k
Oded Tour 2.3k 0.7× 630 0.7× 806 1.4× 211 0.4× 330 0.9× 9 3.1k

Countries citing papers authored by Ilan Davis

Since Specialization
Citations

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

Fields of papers citing papers by Ilan Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilan Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Ilan Davis. A scholar is included among the top collaborators of Ilan Davis 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 Ilan Davis. Ilan Davis 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.
Lee, Young Seok, et al.. (2025). Imp/IGF2BP and Syp/SYNCRIP temporal RNA interactomes uncover combinatorial networks of regulators of Drosophila brain development. Science Advances. 11(6). eadr6682–eadr6682. 2 indexed citations
2.
Lee, Young Seok, et al.. (2024). Optimization of hybridization chain reaction for imaging single RNA molecules in Drosophila larvae. Fly. 18(1). 2409968–2409968.
3.
Hu, Qi, Jingyu Wang, Huriye Atilgan, et al.. (2023). Universal adaptive optics for microscopy through embedded neural network control. Light Science & Applications. 12(1). 270–270. 27 indexed citations
4.
Titlow, Josh, Catherine Maclachlan, Michel Gho, et al.. (2023). Co-option of epidermal cells enables touch sensing. Nature Cell Biology. 25(4). 540–549. 4 indexed citations
5.
Thompson, Mary Kay, et al.. (2023). Dynamically regulated transcription factors are encoded by highly unstable mRNAs in the Drosophila larval brain. RNA. 29(7). 1020–1032. 2 indexed citations
6.
Pinto, David Miguel Susano, Michael A. Phillips, Julio Mateos‐Langerak, et al.. (2021). Python-Microscope – a new open-source Python library for the control of microscopes. Journal of Cell Science. 134(19). 9 indexed citations
7.
Smith, Carlas, Josh Titlow, Nils Otto, et al.. (2021). Selective dendritic localization of mRNA in Drosophila mushroom body output neurons. eLife. 10. 3 indexed citations
8.
Lee, Young Seok, Peter A. C. Wing, Marko Noerenberg, et al.. (2021). Absolute quantitation of individual SARS-CoV-2 RNA molecules provides a new paradigm for infection dynamics and variant differences. eLife. 11. 31 indexed citations
9.
Järvelin, Aino I., et al.. (2020). HIV Rev-isited. Open Biology. 10(12). 200320–200320. 24 indexed citations
10.
Hussain, Syed Asad, Karen M. Hampson, Richard M. Parton, et al.. (2020). Wavefront‐sensorless adaptive optics with a laser‐free spinning disk confocal microscope. Journal of Microscopy. 288(2). 106–116. 8 indexed citations
11.
Waithe, Dominic, Yang Lu, Ita Costello, et al.. (2020). CytoCensus, mapping cell identity and division in tissues and organs using machine learning. eLife. 9. 15 indexed citations
12.
Thompson, Mary Kay, et al.. (2020). Ribo-Pop: simple, cost-effective, and widely applicable ribosomal RNA depletion. RNA. 26(11). 1731–1742. 9 indexed citations
13.
Parton, Richard M., et al.. (2019). Testing Models of mRNA Localization Reveals Robustness Regulated by Reducing Transport between Cells. Biophysical Journal. 117(11). 2154–2165. 2 indexed citations
14.
Yang, Ching-Po, Ya‐Ling Huang, Yang Lu, et al.. (2017). Imp and Syp RNA-binding proteins govern decommissioning of Drosophila neural stem cells. Development. 144(19). 3454–3464. 48 indexed citations
15.
Sigurbjörnsdóttir, Sara, Renjith Mathew, Ana María Vallés, et al.. (2016). A Genome-Wide Screen for Dendritically Localized RNAs Identifies Genes Required for Dendrite Morphogenesis. G3 Genes Genomes Genetics. 6(8). 2397–2405. 11 indexed citations
16.
Titlow, Josh, Ilan Davis, A. Barker, et al.. (2016). Drosophila sensory cilia lacking MKS proteins exhibit striking defects in development but only subtle defects in adults. Journal of Cell Science. 129(20). 3732–3743. 23 indexed citations
17.
Ball, Graeme, Justin Demmerle, Rainer Kaufmann, et al.. (2015). SIMcheck: a Toolbox for Successful Super-resolution Structured Illumination Microscopy. Scientific Reports. 5(1). 15915–15915. 219 indexed citations
18.
Weil, Timothy T, Despina Xanthakis, Richard M. Parton, et al.. (2009). Distinguishing direct from indirect roles for bicoid mRNA localization factors. Development. 137(1). 169–176. 29 indexed citations
19.
Delanoue, Rénald, Bram Herpers, Jan Soetaert, Ilan Davis, & Cathérine Rabouille. (2007). Drosophila Squid/hnRNP Helps Dynein Switch from a gurken mRNA Transport Motor to an Ultrastructural Static Anchor in Sponge Bodies. Developmental Cell. 13(4). 523–538. 94 indexed citations
20.
Kumar, Justin P., Gavin S. Wilkie, Hille Tekotte, Kevin Moses, & Ilan Davis. (2001). Perturbing Nuclear Transport in Drosophila Eye Imaginal Discs Causes Specific Cell Adhesion and Axon Guidance Defects. Developmental Biology. 240(2). 315–325. 15 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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