Saskia C. Sanderson
- Public Health, Environmental and Occupational Health top 0.1%
- Clinical Psychology top 0.2%
- Genetics top 0.5%
- General Health Professions top 0.5%
- Psychiatry and Mental health top 0.5%
- Co-authors
- Natalie LippaJane WardleJulian P. T. HigginsLorna RapoportRobert PlominAnn Louise KinmonthStephen SuttonColleen M. McBride
- Topics
- BRCA gene mutations in cancer (56 papers)Genomics and Rare Diseases (28 papers)Nutrition, Genetics, and Disease (18 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaThe Science of The Total Environment
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Saskia C. Sanderson
102 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Public Health, Environmental and Occupational Health 4.4k
- Clinical Psychology 3.9k
- Genetics 2.4k
- General Health Professions 1.8k
- Psychiatry and Mental health 1.6k
Countries citing papers authored by Saskia C. Sanderson
This map shows the geographic impact of Saskia C. Sanderson'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 Saskia C. Sanderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saskia C. Sanderson more than expected).
Fields of papers citing papers by Saskia C. Sanderson
This network shows the impact of papers produced by Saskia C. Sanderson. 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 Saskia C. Sanderson. The network helps show where Saskia C. Sanderson may publish in the future.
Co-authorship network of co-authors of Saskia C. Sanderson
This figure shows the co-authorship network connecting the top 25 collaborators of Saskia C. Sanderson. A scholar is included among the top collaborators of Saskia C. Sanderson 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 Saskia C. Sanderson. Saskia C. Sanderson 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 29 | |
| 13 | 14 | |
| 14 | 16 | |
| 15 | 36 | |
| 16 | 139 | |
| 17 | Population based testing for high-penetrance dominant gene mutations: initial results from the pilot phase of GCaPPS | 2 |
| 18 | 30 | |
| 19 | 30 | |
| 20 | 430 |
About Saskia C. Sanderson
Saskia C. Sanderson is a scholar working on Genetics, Applied Psychology and Pharmacy, having authored 103 papers that have together received 12.4k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (56 papers), Genomics and Rare Diseases (28 papers) and Nutrition, Genetics, and Disease (18 papers). The work is most often cited by research in Pharmacy (1.6k citations), Clinical Psychology (3.9k citations) and Public Health, Environmental and Occupational Health (4.4k citations). Saskia C. Sanderson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Natalie Lippa, Jane Wardle, Julian P. T. Higgins, Lorna Rapoport, Robert Plomin, Ann Louise Kinmonth, Stephen Sutton, Colleen M. McBride, Steve E. Humphries and Jo Waller. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and The Science of The Total Environment.
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.