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 5
- Genomic variations and chromosomal abnormalities 4
- Co-authors
- Chris Tyler‐Smith (1 shared paper)Christine Bird (1 shared paper)Emmanouil T. Dermitzakis (1 shared paper)Claude Beazley (1 shared paper)Matthew S. Forrest (1 shared paper)Mark Dunning (1 shared paper)Barbara E. Stranger (1 shared paper)Anna Grassi (1 shared paper)
- Journals
- Transplantation (2 papers)Genome Research (1 paper)Clinical Gastroenterology and Hepatology (1 paper)BDJ (1 paper)Energy Reports (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Nigel Carter
17 papers receiving 1.8k citations
Nigel Carter's Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 917
- Cancer Research 265
- Molecular Biology 929
- Aging 14
- Cellular and Molecular Neuroscience 139
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 | 1327 |
| 2 | 2002 | 156 | |
| 3 | 1995 | 137 | |
| 4 | 2011 | 86 | |
| 5 | 2007 | 78 | |
| 6 | 2005 | 45 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 12 | |
| 9 | 1987 | 10 | |
| 10 | 1997 | 8 | |
| 11 | 1997 | 4 | |
| 12 | 1987 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2009 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2023 | 0 |
About Nigel Carter
Nigel Carter is a scholar working on Molecular Biology, Genetics, Periodontics, Plant Science and General Dentistry, having authored 19 papers that have together received 1.9k 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 Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Genetics (917 citations), Cancer Research (265 citations), Molecular Biology (929 citations), Aging (14 citations) and Cellular and Molecular Neuroscience (139 citations). Nigel Carter has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Chris Tyler‐Smith, Christine Bird, Emmanouil T. Dermitzakis, Claude Beazley, Matthew S. Forrest, Mark Dunning, Barbara E. Stranger, Anna Grassi, Charles Lee and Natalie Thorne. Their work appears in journals such as Transplantation, Genome Research, Clinical Gastroenterology and Hepatology, BDJ and Energy Reports.
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.