Anya E. R. Prince
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Pediatrics, Perinatology and Child Health
- Molecular Biology
- Physiology
- Co-authors
- Daniel SchwarczMyra I. RocheJun XuTuya PalWendy R. UhlmannR. Jean CadiganKaren LewisArlene M. Davis
- Topics
- BRCA gene mutations in cancer (21 papers)Ethics in Clinical Research (19 papers)Biomedical Ethics and Regulation (14 papers)
- Journals
- ScienceJAMANature Genetics
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Anya E. R. Prince
47 papers receiving 615 citations
Peers
Comparison fields: 5 of 98
- Genetics 310
- Public Health, Environmental and Occupational Health 207
- Pediatrics, Perinatology and Child Health 83
- Molecular Biology 82
- Physiology 82
Countries citing papers authored by Anya E. R. Prince
This map shows the geographic impact of Anya E. R. Prince'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 Anya E. R. Prince with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anya E. R. Prince more than expected).
Fields of papers citing papers by Anya E. R. Prince
This network shows the impact of papers produced by Anya E. R. Prince. 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 Anya E. R. Prince. The network helps show where Anya E. R. Prince may publish in the future.
Co-authorship network of co-authors of Anya E. R. Prince
This figure shows the co-authorship network connecting the top 25 collaborators of Anya E. R. Prince. A scholar is included among the top collaborators of Anya E. R. Prince 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 Anya E. R. Prince. Anya E. R. Prince 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 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 32 | |
| 6 | 54 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 18 | |
| 13 | Proxy Discrimination in the Age of Artificial Intelligence and Big Data | 68 |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 11 | |
| 17 | 10 | |
| 18 | 15 | |
| 19 | Comprehensive Protection of Genetic Information: One Size Privacy or Property Models May Not Fit All | 6 |
| 20 | 15 |
About Anya E. R. Prince
Anya E. R. Prince is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Management of Technology and Innovation, having authored 53 papers that have together received 644 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (21 papers), Ethics in Clinical Research (19 papers) and Biomedical Ethics and Regulation (14 papers). The work is most often cited by research in Genetics (310 citations), Health Informatics (11 citations) and Public Health, Environmental and Occupational Health (207 citations). Anya E. R. Prince has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Daniel Schwarcz, Myra I. Roche, Jun Xu, Tuya Pal, Wendy R. Uhlmann, R. Jean Cadigan, Karen Lewis, Arlene M. Davis, Gabriel Lázaro‐Muñoz and Joon‐Ho Yu. Their work appears in journals such as Science, JAMA and Nature Genetics.
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.