Pietá Schofield
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
- Genetics 4
- Evolution and Genetic Dynamics 4
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- Insect symbiosis and bacterial influences 2
- Co-authors
- Geoffrey John Barton (5 shared papers)Tom Owen‐Hughes (4 shared papers)Vijender Singh (4 shared papers)Marek Gierliński (3 shared papers)Sónia Rocha (2 shared papers)Nick Schurch (2 shared papers)Mark Blaxter (2 shared papers)Nicola Wrobel (2 shared papers)
- Journals
- Journal of Theoretical Biology (2 papers)Science (2 papers)PLoS ONE (2 papers)The Lancet Healthy Longevity (1 paper)Methods in Ecology and Evolution (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Pietá Schofield
26 papers receiving 2.0k citations
Pietá Schofield's Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 293
- Molecular Biology 1.2k
- Modeling and Simulation 35
- Genetics 185
- Plant Science 242
Countries citing papers authored by Pietá Schofield
This map shows the geographic impact of Pietá Schofield'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 Pietá Schofield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietá Schofield more than expected).
Fields of papers citing papers by Pietá Schofield
This network shows the impact of papers produced by Pietá Schofield. 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 Pietá Schofield. The network helps show where Pietá Schofield may publish in the future.
Co-authors
The 25 scholars most cited alongside Pietá Schofield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use? Hit paper breakdown → | 2016 | 618 |
| 2 | 2019 | 300 | |
| 3 | 2010 | 250 | |
| 4 | 2011 | 219 | |
| 5 | 2021 | 114 | |
| 6 | 2016 | 90 | |
| 7 | 2015 | 76 | |
| 8 | 2014 | 70 | |
| 9 | 2019 | 65 | |
| 10 | 2015 | 56 | |
| 11 | 2007 | 25 | |
| 12 | 2006 | 22 | |
| 13 | 2024 | 15 | |
| 14 | 1997 | 12 | |
| 15 | 2016 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2009 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2016 | 5 |
About Pietá Schofield
Pietá Schofield is a scholar working on Genetics, Insect Science, Cancer Research, Plant Science and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (4 papers), Genomics and Chromatin Dynamics (3 papers), Chronic Disease Management Strategies (2 papers), Plant and animal studies (2 papers), Insect symbiosis and bacterial influences (2 papers), RNA modifications and cancer (2 papers), Chromosomal and Genetic Variations (2 papers) and Evolutionary Game Theory and Cooperation (2 papers). The work is most often cited by research in Cancer Research (293 citations), Molecular Biology (1.2k citations), Modeling and Simulation (35 citations), Genetics (185 citations) and Plant Science (242 citations). Pietá Schofield has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Geoffrey John Barton, Tom Owen‐Hughes, Vijender Singh, Marek Gierliński, Sónia Rocha, Nick Schurch, Mark Blaxter, Nicola Wrobel, Karim Gharbi and Alexander Sherstnev. Their work appears in journals such as Journal of Theoretical Biology, Science, PLoS ONE, The Lancet Healthy Longevity and Methods in Ecology and Evolution.
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.