Nigel Carter
Impact in
- Genetics top 2%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 4
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Charles Lee (1 shared paper)Claude Beazley (1 shared paper)Catherine Ingle (1 shared paper)Natalie Thorne (1 shared paper)Matthew E. Hurles (1 shared paper)Simon Tavaré (1 shared paper)Richard Redon (1 shared paper)Matthew S. Forrest (1 shared paper)
- Journals
- Transplantation (2 papers)Safety Science (1 paper)Science (1 paper)The EMBO Journal (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Nigel Carter
16 papers receiving 1.8k citations
Nigel Carter's Hit Papers
Peers
Comparison fields: 5 of 123
- Genetics 872
- Cancer Research 251
- Molecular Biology 874
- Aging 14
- Cellular and Molecular Neuroscience 135
Countries citing papers authored by Nigel Carter
This map shows the geographic impact of Nigel Carter'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 Nigel Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Carter more than expected).
Fields of papers citing papers by Nigel Carter
This network shows the impact of papers produced by Nigel Carter. 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 Nigel Carter. The network helps show where Nigel Carter may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Carter, 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 | Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes Hit paper breakdown → | 2007 | 1276 |
| 2 | 2002 | 152 | |
| 3 | 1995 | 127 | |
| 4 | 2011 | 76 | |
| 5 | 2007 | 75 | |
| 6 | 2005 | 43 | |
| 7 | 2023 | 12 | |
| 8 | 2024 | 10 | |
| 9 | 1987 | 10 | |
| 10 | 1997 | 8 | |
| 11 | 1997 | 4 | |
| 12 | 1987 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2009 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 0 |
About Nigel Carter
Nigel Carter is a scholar working on Molecular Biology, Genetics, Periodontics, Plant Science and General Dentistry, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Chromosomal and Genetic Variations (3 papers), Dental Health and Care Utilization (3 papers), Dental Research and COVID-19 (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), T-cell and B-cell Immunology (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Genetics (872 citations), Cancer Research (251 citations), Molecular Biology (874 citations), Aging (14 citations) and Cellular and Molecular Neuroscience (135 citations). Nigel Carter has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Charles Lee, Claude Beazley, Catherine Ingle, Natalie Thorne, Matthew E. Hurles, Simon Tavaré, Richard Redon, Matthew S. Forrest, Anna Grassi and Christine Bird. Their work appears in journals such as Transplantation, Safety Science, Science, The EMBO Journal and Nature Cell 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.