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 modifications and cancer 5
- RNA Research and Splicing 5
- Single-cell and spatial transcriptomics 2
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- Advanced machining processes and optimization 5
- Surface Treatment and Coatings 2
- Co-authors
- Caroline Dalgliesh (5 shared papers)David J. Elliott (5 shared papers)Ingrid Ehrmann (3 shared papers)Sushma Nagaraja Grellscheid (2 shared papers)Ian C. Eperon (2 shared papers)Yilei Liu (2 shared papers)Julian P. Venables (2 shared papers)Gavin J. Clowry (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Nature Communications (2 papers)JAMA Dermatology (1 paper)Pharmacology & Therapeutics (1 paper)Neuropathology and Applied Neurobiology (1 paper)
- Partner nations
- United KingdomRussiaUnited States
In The Last Decade
Marina Danilenko
17 papers receiving 382 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 291
- Cancer Research 54
- Genetics 37
- Genetics 76
- Cellular and Molecular Neuroscience 29
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 | 69 | |
| 3 | 2014 | 64 | |
| 4 | 2016 | 51 | |
| 5 | 2014 | 45 | |
| 6 | 2024 | 13 | |
| 7 | 2016 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2009 | 7 | |
| 13 | 2014 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 1974 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2021 | 0 | |
| 20 | 2017 | 0 |
About Marina Danilenko
Marina Danilenko is a scholar working on Molecular Biology, Mechanical Engineering, Industrial and Manufacturing Engineering, Genetics and Cancer Research, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Engineering Technology and Methodologies (5 papers), Advanced machining processes and optimization (5 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Glioma Diagnosis and Treatment (4 papers), Surface Treatment and Coatings (2 papers), Cancer Genomics and Diagnostics (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Molecular Biology (291 citations), Cancer Research (54 citations), Genetics (37 citations), Genetics (76 citations) and Cellular and Molecular Neuroscience (29 citations). Marina Danilenko has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Caroline Dalgliesh, David J. Elliott, Ingrid Ehrmann, Sushma Nagaraja Grellscheid, Ian C. Eperon, Yilei Liu, Julian P. Venables, Gavin J. Clowry, Claudio Sette and Philippe Fort. Their work appears in journals such as Nucleic Acids Research, Nature Communications, JAMA Dermatology, Pharmacology & Therapeutics and Neuropathology and Applied Neurobiology.
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.