George Nicholson
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
- Genetic Associations and Epidemiology
- Genetic diversity and population structure
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- RNA Research and Splicing 2
- RNA modifications and cancer 2
- Genetics 4
- Genetic Associations and Epidemiology 4
- Co-authors
- Peter Donnelly (2 shared papers)Thomas H. Gillingwater (1 shared paper)Sheena Lee (1 shared paper)Dirk Bäumer (1 shared paper)Olaf Ansorge (1 shared paper)Kevin Talbot (1 shared paper)Nick Parkinson (1 shared paper)Kay E. Davies (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Journal of Animal Ecology (1 paper)Journal of Clinical Oncology (1 paper)Genetics (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
George Nicholson
23 papers receiving 708 citations
Peers
Comparison fields: 5 of 105
- Genetics 177
- Modeling and Simulation 40
- Genetics 156
- Molecular Biology 317
- Developmental Biology 7
Countries citing papers authored by George Nicholson
This map shows the geographic impact of George Nicholson'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 George Nicholson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Nicholson more than expected).
Fields of papers citing papers by George Nicholson
This network shows the impact of papers produced by George Nicholson. 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 George Nicholson. The network helps show where George Nicholson may publish in the future.
Co-authors
The 25 scholars most cited alongside George Nicholson, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 193 | |
| 2 | 2013 | 120 | |
| 3 | 2003 | 68 | |
| 4 | 2012 | 63 | |
| 5 | 2009 | 47 | |
| 6 | 2019 | 40 | |
| 7 | 2000 | 34 | |
| 8 | 2021 | 24 | |
| 9 | 2022 | 20 | |
| 10 | 2011 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2015 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2008 | 10 | |
| 17 | 2016 | 8 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2018 | 4 |
About George Nicholson
George Nicholson is a scholar working on Molecular Biology, Genetics, Modeling and Simulation, Statistics and Probability and Infectious Diseases, having authored 23 papers that have together received 719 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), COVID-19 epidemiological studies (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Colorectal Cancer Treatments and Studies (2 papers), RNA Research and Splicing (2 papers), SARS-CoV-2 detection and testing (2 papers), Data-Driven Disease Surveillance (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (177 citations), Modeling and Simulation (40 citations), Genetics (156 citations), Molecular Biology (317 citations) and Developmental Biology (7 citations). George Nicholson has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Peter Donnelly, Thomas H. Gillingwater, Sheena Lee, Dirk Bäumer, Olaf Ansorge, Kevin Talbot, Nick Parkinson, Kay E. Davies, Lyndsay M. Murray and Agnar Helgason. Their work appears in journals such as PLoS Genetics, Journal of Animal Ecology, Journal of Clinical Oncology, Genetics and Nature Microbiology.
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.