Nathan Archer
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
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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 4
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 2
- Cancer-related gene regulation 2
- Single-cell and spatial transcriptomics 1
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- Milk Quality and Mastitis in Dairy Cows 2
- Co-authors
- Rupert G. Fray (5 shared papers)Zsuzsanna Bódi (3 shared papers)Eugenio Sánchez‐Morán (1 shared paper)Matthias Soller (1 shared paper)Nigel P. Mongan (2 shared papers)Irmgard U. Haussmann (1 shared paper)Sean May (1 shared paper)Andrew Bottley (1 shared paper)
- Journals
- PLoS ONE (1 paper)Cell Systems (1 paper)Plant Biology (1 paper)Nature (1 paper)Pathogens (1 paper)
- Partner nations
- United KingdomItaly
In The Last Decade
Nathan Archer
8 papers receiving 582 citations
Nathan Archer's Hit Papers
Peers
Comparison fields: 5 of 44
- Cancer Research 210
- Molecular Biology 550
- Energy Engineering and Power Technology 8
- Electrical and Electronic Engineering 110
- Agronomy and Crop Science 13
Countries citing papers authored by Nathan Archer
This map shows the geographic impact of Nathan Archer'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 Nathan Archer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Archer more than expected).
Fields of papers citing papers by Nathan Archer
This network shows the impact of papers produced by Nathan Archer. 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 Nathan Archer. The network helps show where Nathan Archer may publish in the future.
Co-authors
The 22 scholars most cited alongside Nathan Archer, 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 | m6A potentiates Sxl alternative pre-mRNA splicing for robust Drosophila sex determination Hit paper breakdown → | 2016 | 476 |
| 2 | 2015 | 70 | |
| 3 | 2016 | 21 | |
| 4 | 2020 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 |
About Nathan Archer
Nathan Archer is a scholar working on Molecular Biology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Nutrition and Dietetics and Endocrinology, having authored 9 papers that have together received 583 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (2 papers), Cancer-related gene regulation (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers), Plant and Fungal Interactions Research (1 paper), Hymenoptera taxonomy and phylogeny (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (210 citations), Molecular Biology (550 citations), Energy Engineering and Power Technology (8 citations), Electrical and Electronic Engineering (110 citations) and Agronomy and Crop Science (13 citations). Nathan Archer has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Rupert G. Fray, Zsuzsanna Bódi, Eugenio Sánchez‐Morán, Matthias Soller, Nigel P. Mongan, Irmgard U. Haussmann, Sean May, Andrew Bottley, Mark D. Walsh and Vahid Shahrezaei. Their work appears in journals such as PLoS ONE, Cell Systems, Plant Biology, Nature and Pathogens.
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.