Philip Ewels
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Endocrinology top 2%
Papers in
-
- Vibrio bacteria research studies 2
- Co-authors
- Max KällerSverker LundinMåns MagnussonSimon AndrewsPeter FraserSteven WingettStefan SchoenfelderCameron S. Osborne
- Journals
- Clinical Epigenetics (1 paper)Nature Genetics (1 paper)Microscopy and Microanalysis (1 paper)Journal of Proteome Research (1 paper)Nature Communications (1 paper)
- Partner nations
- SwedenUnited KingdomGermany
In The Last Decade
Philip Ewels
19 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Molecular Biology 3.3k
- Endocrinology 218
- Cancer Research 563
- Aging 62
- Genetics 860
Countries citing papers authored by Philip Ewels
This map shows the geographic impact of Philip Ewels'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 Philip Ewels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Ewels more than expected).
Fields of papers citing papers by Philip Ewels
This network shows the impact of papers produced by Philip Ewels. 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 Philip Ewels. The network helps show where Philip Ewels may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip Ewels, 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 | 2023 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 0 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 113 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 1 | |
| 11 | 2016 | 91 | |
| 12 | 2016 | 26 | |
| 13 | 2016 | 15 | |
| 14 | MultiQC: summarize analysis results for multiple tools and samples in a single report Hit paper breakdown → | 2016 | 4533 |
| 15 | Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C Hit paper breakdown → | 2015 | 623 |
| 16 | 2015 | 225 | |
| 17 | 2014 | 70 | |
| 18 | 2011 | 7 | |
| 19 | 2008 | 84 | |
| 20 | 2008 | 57 |
About Philip Ewels
Philip Ewels is a scholar working on Structural Biology, Endocrinology, Cancer Research, Molecular Biology and Surfaces, Coatings and Films, having authored 20 papers that have together received 5.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (3 papers), Single-cell and spatial transcriptomics (2 papers), Vibrio bacteria research studies (2 papers), RNA modifications and cancer (2 papers), Chromosomal and Genetic Variations (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Endocrinology (218 citations), Cancer Research (563 citations), Aging (62 citations) and Genetics (860 citations). Philip Ewels has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Max Käller, Sverker Lundin, Måns Magnusson, Simon Andrews, Peter Fraser, Steven Wingett, Stefan Schoenfelder, Cameron S. Osborne, Lauren Ferreira and R. Sugar. Their work appears in journals such as Clinical Epigenetics, Nature Genetics, Microscopy and Microanalysis, Journal of Proteome Research and Nature Communications.
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.