Maria Dermit
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 5
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 1
- Histone Deacetylase Inhibitors Research 1
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Faraz K. Mardakheh (9 shared papers)Martin Dodel (6 shared papers)Jernej Ule (2 shared papers)Sarah P. Blagden (1 shared paper)Trenton M. Peters-Clarke (1 shared paper)Evgenia Shishkova (1 shared paper)Lisa Fish (2 shared papers)J. Louise Jones (1 shared paper)
- Journals
- Nature Methods (1 paper)The EMBO Journal (1 paper)Science (1 paper)Development (1 paper)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Maria Dermit
11 papers receiving 291 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 61
- Molecular Biology 243
- Spectroscopy 28
- Cell Biology 23
- Physiology 6
Countries citing papers authored by Maria Dermit
This map shows the geographic impact of Maria Dermit'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 Maria Dermit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Dermit more than expected).
Fields of papers citing papers by Maria Dermit
This network shows the impact of papers produced by Maria Dermit. 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 Maria Dermit. The network helps show where Maria Dermit may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Dermit, 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 | 2020 | 58 | |
| 2 | 2021 | 52 | |
| 3 | 2020 | 38 | |
| 4 | 2016 | 26 | |
| 5 | 2020 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2021 | 19 | |
| 8 | 2024 | 17 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2017 | 7 | |
| 12 | 2021 | 0 |
About Maria Dermit
Maria Dermit is a scholar working on Molecular Biology, Spectroscopy, Genetics, Cancer Research and Ecology, having authored 12 papers that have together received 292 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), interferon and immune responses (1 paper), Machine Learning in Bioinformatics (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Cancer Research (61 citations), Molecular Biology (243 citations), Spectroscopy (28 citations), Cell Biology (23 citations) and Physiology (6 citations). Maria Dermit has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Faraz K. Mardakheh, Martin Dodel, Jernej Ule, Sarah P. Blagden, Trenton M. Peters-Clarke, Evgenia Shishkova, Lisa Fish, J. Louise Jones, Jesse G. Meyer and Hani Goodarzi. Their work appears in journals such as Nature Methods, The EMBO Journal, Science, Development and FEBS Letters.
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.