Pamela Whittaker
- Molecular Biology top 10%
- Genetics top 5%
- Pharmacology top 1%
- Immunology
- Agronomy and Crop Science top 5%
- Co-authors
- Panos DeloukasSiarhei MaslauTsun-Po YangSarah FinerThomas A. DownToby AndrewVardhman K. RakyanOwen T McCann
- Topics
- Reproductive Physiology in Livestock (7 papers)Genetic and phenotypic traits in livestock (6 papers)Genetic Associations and Epidemiology (4 papers)
- Cited by
- PharmacologyAgingGenetics
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Pamela Whittaker
21 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 853
- Genetics 671
- Pharmacology 382
- Immunology 197
- Agronomy and Crop Science 180
Countries citing papers authored by Pamela Whittaker
This map shows the geographic impact of Pamela Whittaker'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 Pamela Whittaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Whittaker more than expected).
Fields of papers citing papers by Pamela Whittaker
This network shows the impact of papers produced by Pamela Whittaker. 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 Pamela Whittaker. The network helps show where Pamela Whittaker may publish in the future.
Co-authorship network of co-authors of Pamela Whittaker
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Whittaker. A scholar is included among the top collaborators of Pamela Whittaker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pamela Whittaker. Pamela Whittaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 64 | |
| 6 | Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domainsbreakdown → | 556 |
| 7 | A Genome-Wide Association Study Confirms VKORC1, CYP2C9, and CYP4F2 as Principal Genetic Determinants of Warfarin Dosebreakdown → | 475 |
| 8 | 59 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 84 | |
| 12 | 110 | |
| 13 | 35 | |
| 14 | 192 | |
| 15 | 141 | |
| 16 | 36 | |
| 17 | 66 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 112 |
About Pamela Whittaker
Pamela Whittaker is a scholar working on Agronomy and Crop Science, Genetics and Conservation, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Pharmacology (382 citations), Aging (57 citations) and Genetics (671 citations). Pamela Whittaker has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Panos Deloukas, Siarhei Maslau, Tsun-Po Yang, Sarah Finer, Thomas A. Down, Toby Andrew, Vardhman K. Rakyan, Owen T McCann, Huriya Beyan and Timothy D. Spector. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Oncogene.
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.