Chris Preece
Impact in
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- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
Papers in
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- CRISPR and Genetic Engineering 5
- Genomics and Chromatin Dynamics 3
- Pluripotent Stem Cells Research 2
- DNA Repair Mechanisms 2
- Advanced biosensing and bioanalysis techniques 2
- Genetics 3
- Animal Genetics and Reproduction 2
- Co-authors
- Benjamin Davies (10 shared papers)Daniel Biggs (7 shared papers)Douglas R. Higgs (1 shared paper)Lars Hanssen (1 shared paper)Matthew E. Gosden (1 shared paper)Jacqueline A. Sloane-Stanley (1 shared paper)Aukje Marieke Oudelaar (1 shared paper)Damien J. Downes (1 shared paper)
- Journals
- Nature (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Scientific Reports (1 paper)Nature Cell Biology (1 paper)Stem Cells (1 paper)
- Partner nations
- United KingdomUnited StatesSlovakia
In The Last Decade
Chris Preece
13 papers receiving 483 citations
Peers
Comparison fields: 5 of 73
- Aging 13
- Molecular Biology 353
- Genetics 129
- Plant Science 95
- Cell Biology 39
Countries citing papers authored by Chris Preece
This map shows the geographic impact of Chris Preece'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 Chris Preece with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Preece more than expected).
Fields of papers citing papers by Chris Preece
This network shows the impact of papers produced by Chris Preece. 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 Chris Preece. The network helps show where Chris Preece may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Preece, 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 | 2017 | 158 | |
| 2 | 2016 | 156 | |
| 3 | 2018 | 69 | |
| 4 | 2020 | 35 | |
| 5 | 2016 | 26 | |
| 6 | 2024 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2013 | 8 | |
| 9 | 2021 | 5 | |
| 10 | 2013 | 2 | |
| 11 | 2025 | 2 | |
| 12 | Problems of Ambiguity in EMC Testing | 2007 | 1 |
| 13 | In-House Design and Construction of G-TEM Cell | 2007 | 1 |
About Chris Preece
Chris Preece is a scholar working on Molecular Biology, Genetics, Aging, Public Health, Environmental and Occupational Health and Management Science and Operations Research, having authored 13 papers that have together received 486 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (3 papers), Animal Genetics and Reproduction (2 papers), Pluripotent Stem Cells Research (2 papers), DNA Repair Mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Reproductive Biology and Fertility (2 papers) and Sustainable Building Design and Assessment (1 paper). The work is most often cited by research in Aging (13 citations), Molecular Biology (353 citations), Genetics (129 citations), Plant Science (95 citations) and Cell Biology (39 citations). Chris Preece has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Benjamin Davies, Daniel Biggs, Douglas R. Higgs, Lars Hanssen, Matthew E. Gosden, Jacqueline A. Sloane-Stanley, Aukje Marieke Oudelaar, Damien J. Downes, Jim R. Hughes and Jacqueline A. Sharpe. Their work appears in journals such as Nature, Molecular Therapy — Nucleic Acids, Scientific Reports, Nature Cell Biology and Stem Cells.
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.