Marina Danilenko
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Renal and related cancers
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Single-cell and spatial transcriptomics 2
- RNA regulation and disease 2
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- Advanced machining processes and optimization 4
- Co-authors
- Caroline Dalgliesh (5 shared papers)David J. Elliott (5 shared papers)Ingrid Ehrmann (3 shared papers)Ian C. Eperon (2 shared papers)Sushma Nagaraja Grellscheid (2 shared papers)Yilei Liu (2 shared papers)Julian P. Venables (2 shared papers)Gavin J. Clowry (2 shared papers)
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)JAMA Dermatology (1 paper)Acta Neuropathologica (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United KingdomRussiaNetherlands
In The Last Decade
Marina Danilenko
15 papers receiving 352 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 296
- Cancer Research 53
- Genetics 75
- Genetics 25
- Cellular and Molecular Neuroscience 28
Countries citing papers authored by Marina Danilenko
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
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-authors
The 25 scholars most cited alongside Marina Danilenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 69 | |
| 2 | 2013 | 67 | |
| 3 | 2014 | 62 | |
| 4 | 2016 | 50 | |
| 5 | 2014 | 43 | |
| 6 | 2016 | 13 | |
| 7 | 2018 | 12 | |
| 8 | 2021 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2009 | 6 | |
| 12 | 2014 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 1974 | 1 | |
| 16 | 2021 | 0 | |
| 17 | 2017 | 0 |
About Marina Danilenko
Marina Danilenko is a scholar working on Molecular Biology, Mechanical Engineering, Industrial and Manufacturing Engineering, Genetics and Dermatology, having authored 17 papers that have together received 354 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Advanced machining processes and optimization (4 papers), Engineering Technology and Methodologies (4 papers), Glioma Diagnosis and Treatment (3 papers), Single-cell and spatial transcriptomics (2 papers), RNA regulation and disease (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Molecular Biology (296 citations), Cancer Research (53 citations), Genetics (75 citations), Genetics (25 citations) and Cellular and Molecular Neuroscience (28 citations). Marina Danilenko has collaborated with scholars based in United Kingdom, Russia and Netherlands. Frequent co-authors include Caroline Dalgliesh, David J. Elliott, Ingrid Ehrmann, Ian C. Eperon, Sushma Nagaraja Grellscheid, Yilei Liu, Julian P. Venables, Gavin J. Clowry, Philippe Fort and Claudio Sette. Their work appears in journals such as Nature Communications, Nucleic Acids Research, JAMA Dermatology, Acta Neuropathologica and PLoS Genetics.
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.