Ilya Lukonin

1.3k total citations · 1 hit paper
12 papers, 835 citations indexed

About

Ilya Lukonin is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ilya Lukonin has authored 12 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Ilya Lukonin's work include 3D Printing in Biomedical Research (3 papers), Cancer Cells and Metastasis (3 papers) and Pluripotent Stem Cells Research (2 papers). Ilya Lukonin is often cited by papers focused on 3D Printing in Biomedical Research (3 papers), Cancer Cells and Metastasis (3 papers) and Pluripotent Stem Cells Research (2 papers). Ilya Lukonin collaborates with scholars based in Switzerland, Germany and United Kingdom. Ilya Lukonin's co-authors include Prisca Liberali, Michael Stadler, Denise Serra, Ludivine Challet Meylan, Guglielmo Roma, Annick Waldt, Urs Mayr, Markus Rempfler, Petr Strnad and Panagiotis Papasaikas and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Ilya Lukonin

12 papers receiving 830 citations

Hit Papers

Self-organization and symmetry breaking in intestinal org... 2019 2026 2021 2023 2019 100 200 300

Peers

Ilya Lukonin
Dennis J. Eastburn United States
Néstor Saiz United States
Judith Vivié Netherlands
Marta N. Shahbazi United Kingdom
Ilya Lukonin
Citations per year, relative to Ilya Lukonin Ilya Lukonin (= 1×) peers Ludivine Challet Meylan

Countries citing papers authored by Ilya Lukonin

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Lukonin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Lukonin

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

All Works

12 of 12 papers shown
1.
Aizarani, Nadim, Ilya Lukonin, Raphaël Ortiz, et al.. (2023). Multimodal characterization of murine gastruloid development. Cell stem cell. 30(6). 867–884.e11. 36 indexed citations
2.
Lee, Jasmine, Christopher Coté, Margaret C. Dunagin, et al.. (2022). Systematically quantifying morphological features reveals constraints on organoid phenotypes. Cell Systems. 13(7). 547–560.e3. 12 indexed citations
3.
Anwar, Muhammad, Oksana A. Sergeeva, Laurence Abrami, et al.. (2022). ER-Golgi-localized proteins TMED2 and TMED10 control the formation of plasma membrane lipid nanodomains. Developmental Cell. 57(19). 2334–2346.e8. 22 indexed citations
4.
Olivieri, Daniel, Yumiko Kawamura, Panagiotis Papasaikas, et al.. (2021). Cooperation between HDAC3 and DAX1 mediates lineage restriction of embryonic stem cells. The EMBO Journal. 40(12). e106818–e106818. 8 indexed citations
5.
Lukonin, Ilya, et al.. (2021). Organoids in image-based phenotypic chemical screens. Experimental & Molecular Medicine. 53(10). 1495–1502. 63 indexed citations
6.
Lukonin, Ilya, Denise Serra, Ludivine Challet Meylan, et al.. (2020). Phenotypic landscape of intestinal organoid regeneration. Nature. 586(7828). 275–280. 180 indexed citations
7.
Lukonin, Ilya, et al.. (2020). Design principles of tissue organisation: How single cells coordinate across scales. Current Opinion in Cell Biology. 67. 37–45. 30 indexed citations
8.
Serra, Denise, Urs Mayr, Andrea Boni, et al.. (2019). Self-organization and symmetry breaking in intestinal organoid development. Nature. 569(7754). 66–72. 372 indexed citations breakdown →
9.
Lehmann, Martin, Ilya Lukonin, Frank Noé, et al.. (2019). Nanoscale coupling of endocytic pit growth and stability. Science Advances. 5(11). eaax5775–eaax5775. 15 indexed citations
10.
Mayer, Daniela, Michael Stadler, Daniel Heß, et al.. (2019). Zfp281 orchestrates interconversion of pluripotent states by engaging Ehmt1 and Zic2. The EMBO Journal. 39(2). e102591–e102591. 20 indexed citations
11.
Horbelt, Daniel, Jan H. Boergermann, A. Chaikuad, et al.. (2014). Small Molecules Dorsomorphin and LDN-193189 Inhibit Myostatin/GDF8 Signaling and Promote Functional Myoblast Differentiation. Journal of Biological Chemistry. 290(6). 3390–3404. 46 indexed citations
12.
Hiepen, Christian, Andreas Benn, Ilya Lukonin, et al.. (2014). BMP2-induced chemotaxis requires PI3K p55γ/p110α-dependent phosphatidylinositol (3,4,5)-triphosphate production and LL5β recruitment at the cytocortex. BMC Biology. 12(1). 43–43. 31 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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