Natalie Webster
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
Papers in
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- RNA modifications and cancer 6
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Cancer-related gene regulation 1
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- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Byron Andrews (4 shared papers)Alan G. Hendrick (2 shared papers)Luca Pandolfini (2 shared papers)Valentina Migliori (1 shared paper)Andrej Alendar (1 shared paper)Pia Mach (1 shared paper)Tony Kouzarides (2 shared papers)Rossella Brandi (1 shared paper)
- Journals
- Leukemia (2 papers)Molecular Cell (1 paper)Journal of Medicinal Chemistry (1 paper)PLoS ONE (1 paper)Molecular Therapy — Nucleic Acids (1 paper)
- Partner nations
- United KingdomItalyJapan
In The Last Decade
Natalie Webster
5 papers receiving 405 citations
Natalie Webster's Hit Papers
Peers
Comparison fields: 5 of 34
- Cancer Research 246
- Molecular Biology 374
- Energy Engineering and Power Technology 5
- Oncology 32
- Aging 1
Countries citing papers authored by Natalie Webster
This map shows the geographic impact of Natalie Webster'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 Natalie Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Webster more than expected).
Fields of papers citing papers by Natalie Webster
This network shows the impact of papers produced by Natalie Webster. 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 Natalie Webster. The network helps show where Natalie Webster may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalie Webster, 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 | METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation Hit paper breakdown → | 2019 | 349 |
| 2 | 2017 | 28 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 7 | |
| 6 | 2024 | 0 |
About Natalie Webster
Natalie Webster is a scholar working on Molecular Biology, Cancer Research, Oncology, Electrical and Electronic Engineering and Infectious Diseases, having authored 6 papers that have together received 407 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer-related gene regulation (1 paper), MicroRNA in disease regulation (1 paper), HVDC Systems and Fault Protection (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (246 citations), Molecular Biology (374 citations), Energy Engineering and Power Technology (5 citations), Oncology (32 citations) and Aging (1 citation). Natalie Webster has collaborated with scholars based in United Kingdom, Italy and Japan. Frequent co-authors include Byron Andrews, Alan G. Hendrick, Luca Pandolfini, Valentina Migliori, Andrej Alendar, Pia Mach, Tony Kouzarides, Rossella Brandi, Andrew J. Bannister and Pierre Murat. Their work appears in journals such as Leukemia, Molecular Cell, Journal of Medicinal Chemistry, PLoS ONE and Molecular Therapy — Nucleic Acids.
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.