David Read
Impact in
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- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- Cancer-related gene regulation
Papers in
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- Genomics and Chromatin Dynamics 4
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 1
- Advanced biosensing and bioanalysis techniques 1
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- Chromosomal and Genetic Variations 4
- Co-authors
- Ian R. Adams (6 shared papers)Wendy A. Bickmore (2 shared papers)Robert S. Illingworth (1 shared paper)Chris Hunter (1 shared paper)Madapura M. Pradeepa (1 shared paper)Pierluigi Nicotera (1 shared paper)Laura Berliocchi (1 shared paper)Eugenio Fava (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Genes & Development (2 papers)Chromosoma (1 paper)Human Molecular Genetics (1 paper)eLife (1 paper)
- Partner nations
- United KingdomGermanyNorway
In The Last Decade
David Read
8 papers receiving 354 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 256
- Cellular and Molecular Neuroscience 51
- Neurology 35
- Genetics 45
- Cell Biology 25
Countries citing papers authored by David Read
This map shows the geographic impact of David Read'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 David Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Read more than expected).
Fields of papers citing papers by David Read
This network shows the impact of papers produced by David Read. 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 David Read. The network helps show where David Read may publish in the future.
Co-authors
The 25 scholars most cited alongside David Read, 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 | 2015 | 125 | |
| 2 | 2005 | 71 | |
| 3 | 2017 | 63 | |
| 4 | 2016 | 33 | |
| 5 | 2013 | 32 | |
| 6 | 2017 | 20 | |
| 7 | 2018 | 8 | |
| 8 | 2020 | 7 |
About David Read
David Read is a scholar working on Molecular Biology, Plant Science, Neurology, Cell Biology and Genetics, having authored 8 papers that have together received 359 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Neurological disorders and treatments (1 paper), Cancer-related gene regulation (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Molecular Biology (256 citations), Cellular and Molecular Neuroscience (51 citations), Neurology (35 citations), Genetics (45 citations) and Cell Biology (25 citations). David Read has collaborated with scholars based in United Kingdom, Germany and Norway. Frequent co-authors include Ian R. Adams, Wendy A. Bickmore, Robert S. Illingworth, Chris Hunter, Madapura M. Pradeepa, Pierluigi Nicotera, Laura Berliocchi, Eugenio Fava, Marcel Leist and David Dinsdale. Their work appears in journals such as The Journal of Cell Biology, Genes & Development, Chromosoma, Human Molecular Genetics and eLife.
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.