Marina Danilenko

587 total citations
17 papers, 354 citations indexed

About

Marina Danilenko is a scholar working on Molecular Biology, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Marina Danilenko has authored 17 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Mechanical Engineering and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Marina Danilenko's work include RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers) and Advanced machining processes and optimization (4 papers). Marina Danilenko is often cited by papers focused on RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers) and Advanced machining processes and optimization (4 papers). Marina Danilenko collaborates with scholars based in United Kingdom, Russia and Netherlands. Marina Danilenko's co-authors include David J. Elliott, Caroline Dalgliesh, Ingrid Ehrmann, Sushma Nagaraja Grellscheid, Ian C. Eperon, Yilei Liu, Julian P. Venables, Gavin J. Clowry, Philippe Fort and Claudio Sette and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Marina Danilenko

15 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Danilenko United Kingdom 9 296 75 53 28 25 17 354
Meera Patel United States 5 211 0.7× 38 0.5× 66 1.2× 32 1.1× 17 0.7× 9 274
Jia-Chi Yeo Singapore 6 496 1.7× 69 0.9× 43 0.8× 21 0.8× 14 0.6× 6 534
Arigela Harikumar Israel 8 433 1.5× 42 0.6× 90 1.7× 18 0.6× 27 1.1× 11 475
Maria‐Eleni Lalioti Greece 9 215 0.7× 118 1.6× 42 0.8× 54 1.9× 12 0.5× 11 313
Jennifer N. Chousal United States 10 411 1.4× 58 0.8× 54 1.0× 11 0.4× 18 0.7× 12 474
Malgorzata E. Quinn United States 7 339 1.1× 72 1.0× 25 0.5× 25 0.9× 41 1.6× 7 386
Maggie Zi Ying Chow Hong Kong 8 553 1.9× 152 2.0× 46 0.9× 51 1.8× 19 0.8× 9 630
Davood Zare‐Abdollahi Iran 10 224 0.8× 61 0.8× 40 0.8× 12 0.4× 11 0.4× 26 308
Hemant Bengani United Kingdom 7 300 1.0× 135 1.8× 32 0.6× 13 0.5× 14 0.6× 10 358
Thong Teck Tan Singapore 9 217 0.7× 46 0.6× 34 0.6× 15 0.5× 29 1.2× 13 274

Countries citing papers authored by Marina Danilenko

Since Specialization
Citations

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

Fields of papers citing papers by Marina Danilenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Danilenko

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

All Works

17 of 17 papers shown
1.
Schwalbe, Ed C., Janet C. Lindsey, Marina Danilenko, et al.. (2024). Molecular and clinical heterogeneity within MYC-family amplified medulloblastoma is associated with survival outcomes: A multicenter cohort study. Neuro-Oncology. 27(1). 222–236. 8 indexed citations
2.
Danilenko, Marina, Stephen Crosier, Martina Finetti, et al.. (2022). Single-cell DNA sequencing identifies risk-associated clonal complexity and evolutionary trajectories in childhood medulloblastoma development. Acta Neuropathologica. 144(3). 565–578. 7 indexed citations
3.
Danilenko, Marina, Steven C. Clifford, & Ed C. Schwalbe. (2021). Inter and intra-tumoral heterogeneity as a platform for personalized therapies in medulloblastoma. Pharmacology & Therapeutics. 228. 107828–107828. 8 indexed citations
4.
5.
Danilenko, Marina, et al.. (2020). Mathematical simulation of cutting force during grinding using theory of Markov processes. Materials Today Proceedings. 38. 1602–1606. 2 indexed citations
6.
Danilenko, Marina, Elaine Stamp, Deborah Stocken, et al.. (2018). Targeting Tropomyosin Receptor Kinase in Cutaneous CYLD Defective Tumors With Pegcantratinib. JAMA Dermatology. 154(8). 913–913. 12 indexed citations
7.
8.
Danilenko, Marina, et al.. (2017). Dynamic Modeling of the Grain Peak Distribution on the Working Surface of Abrasive Tools when Grinding Using Transition Probabilities. Proceedings of Higher Educational Institutions Маchine Building.
9.
Feracci, Mikaël, Sushma Nagaraja Grellscheid, Marina Danilenko, et al.. (2016). Structural basis of RNA recognition and dimerization by the STAR proteins T-STAR and Sam68. Nature Communications. 7(1). 10355–10355. 50 indexed citations
10.
Danilenko, Marina, Caroline Dalgliesh, Vittoria Pagliarini, et al.. (2016). Binding site density enables paralog-specific activity of SLM2 and Sam68 proteins in Neurexin2 AS4 splicing control. Nucleic Acids Research. 45(7). gkw1277–gkw1277. 13 indexed citations
11.
Best, Andrew, Katherine James, Caroline Dalgliesh, et al.. (2014). Human Tra2 proteins jointly control a CHEK1 splicing switch among alternative and constitutive target exons. Nature Communications. 5(1). 4760–4760. 43 indexed citations
12.
Рева, Иван, et al.. (2014). Distribution of Antigen-Presenting Cells CD68 in Papillomavirus Infection in the Skin. Bulletin of Experimental Biology and Medicine. 157(1). 56–61. 3 indexed citations
13.
Hynes, Ann Marie, Rachel H. Giles, Shalabh Srivastava, et al.. (2014). Murine Joubert syndrome reveals Hedgehog signaling defects as a potential therapeutic target for nephronophthisis. Proceedings of the National Academy of Sciences. 111(27). 9893–9898. 62 indexed citations
14.
Ehrmann, Ingrid, Caroline Dalgliesh, Yilei Liu, et al.. (2013). The Tissue-Specific RNA Binding Protein T-STAR Controls Regional Splicing Patterns of Neurexin Pre-mRNAs in the Brain. PLoS Genetics. 9(4). e1003474–e1003474. 67 indexed citations
15.
Schmid, Ralf, Sushma Nagaraja Grellscheid, Ingrid Ehrmann, et al.. (2013). The splicing landscape is globally reprogrammed during male meiosis. Nucleic Acids Research. 41(22). 10170–10184. 69 indexed citations
16.
Nosenko, S. V., et al.. (2009). Probabilities of abrasive tool grain wearing during grinding. Journal of Machinery Manufacture and Reliability. 38(3). 270–276. 6 indexed citations
17.
Danilenko, Marina, et al.. (1974). Ultrastructure of lymphatic capillaries of the human myocardium in mitral stenosis. Bulletin of Experimental Biology and Medicine. 77(6). 695–698. 1 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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