Neil Cameron
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
- Race, Genetics, and Society
- Genetic Mapping and Diversity in Plants and Animals
- Dermatology top 5%
- Skin Protection and Aging
Papers in
- Co-authors
- J. M. Tanner (1 shared paper)R. H. Whitehouse (1 shared paper)Tabitha Jackson (1 shared paper)S. Dios (1 shared paper)Clive Hoggart (1 shared paper)George Argyropoulos (1 shared paper)Paul McKeigue (1 shared paper)Jin Li (1 shared paper)
- Journals
- Journal für die reine und angewandte Mathematik (Crelles Journal) (1 paper)Human Genetics (1 paper)Higher Education (1 paper)Journal of the Chemical Society Dalton Transactions (1 paper)Polymer preprints (1 paper)
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Neil Cameron
8 papers receiving 690 citations
Peers
Comparison fields: 5 of 122
- Genetics 371
- Dermatology 75
- Cell Biology 104
- Archeology 53
- Nutrition and Dietetics 62
Countries citing papers authored by Neil Cameron
This map shows the geographic impact of Neil Cameron'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 Neil Cameron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Cameron more than expected).
Fields of papers citing papers by Neil Cameron
This network shows the impact of papers produced by Neil Cameron. 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 Neil Cameron. The network helps show where Neil Cameron may publish in the future.
Co-authors
The 23 scholars most cited alongside Neil Cameron, 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 | 2003 | 394 | |
| 2 | Assessment of skeletal maturity and prediction of adult height | 1975 | 166 |
| 3 | 1997 | 138 | |
| 4 | 1986 | 23 | |
| 5 | 1987 | 4 | |
| 6 | 1993 | 3 | |
| 7 | 1975 | 3 | |
| 8 | Smart assembly of hybrid biolpolymers: a new enzyme immobilization tecnique | 2003 | 2 |
About Neil Cameron
Neil Cameron is a scholar working on Organic Chemistry, Molecular Biology, Numerical Analysis, Automotive Engineering and Dermatology, having authored 8 papers that have together received 733 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (1 paper), Innovative Teaching and Learning Methods (1 paper), Optimization and Variational Analysis (1 paper), Advanced Numerical Analysis Techniques (1 paper), Visual and Cognitive Learning Processes (1 paper), melanin and skin pigmentation (1 paper), Additive Manufacturing and 3D Printing Technologies (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Genetics (371 citations), Dermatology (75 citations), Cell Biology (104 citations), Archeology (53 citations) and Nutrition and Dietetics (62 citations). Neil Cameron has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include J. M. Tanner, R. H. Whitehouse, Tabitha Jackson, S. Dios, Clive Hoggart, George Argyropoulos, Paul McKeigue, Jin Li, Esteban J. Parra and Carolina Bonilla. Their work appears in journals such as Journal für die reine und angewandte Mathematik (Crelles Journal), Human Genetics, Higher Education, Journal of the Chemical Society Dalton Transactions and Polymer preprints.
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.