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
- RNA and protein synthesis mechanisms
Papers in
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- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Advanced biosensing and bioanalysis techniques 2
- Pluripotent Stem Cells Research 2
- Genetics 3
- Animal Genetics and Reproduction 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Benjamin Davies (11 shared papers)Daniel Biggs (8 shared papers)Mira Kassouf (1 shared paper)A. Marieke Oudelaar (1 shared paper)Damien J. Downes (1 shared paper)Jim R. Hughes (1 shared paper)Matthew Gosden (1 shared paper)Lars L. P. Hanssen (1 shared paper)
- Journals
- Stem Cells (1 paper)Nature Cell Biology (1 paper)Scientific Reports (1 paper)Molecular Biology and Evolution (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Chris Preece
12 papers receiving 446 citations
Peers
Comparison fields: 5 of 69
- Aging 11
- Molecular Biology 350
- Genetics 124
- Business and International Management 5
- Plant Science 94
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 | 150 | |
| 2 | 2016 | 146 | |
| 3 | 2018 | 62 | |
| 4 | 2020 | 34 | |
| 5 | 2016 | 22 | |
| 6 | 2021 | 10 | |
| 7 | 2013 | 8 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 5 | |
| 10 | In-House Design and Construction of G-TEM Cell | 2007 | 1 |
| 11 | 2023 | 1 | |
| 12 | 2025 | 1 |
About Chris Preece
Chris Preece is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Cell Biology and Oncology, having authored 12 papers that have together received 446 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Reproductive Biology and Fertility (2 papers), Pluripotent Stem Cells Research (2 papers), Animal Genetics and Reproduction (2 papers) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Aging (11 citations), Molecular Biology (350 citations), Genetics (124 citations), Business and International Management (5 citations) and Plant Science (94 citations). Chris Preece has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Benjamin Davies, Daniel Biggs, Mira Kassouf, A. Marieke Oudelaar, Damien J. Downes, Jim R. Hughes, Matthew Gosden, Lars L. P. Hanssen, Jacqueline A. Sharpe and Jacqueline A. Sloane-Stanley. Their work appears in journals such as Stem Cells, Nature Cell Biology, Scientific Reports, Molecular Biology and Evolution and Nature Structural & Molecular Biology.
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.