Suzanne M. O’Neill
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 10%
- Oncology
- General Health Professions top 10%
- Sociology and Political Science
- Co-authors
- Wendy S. RubinsteinMack T. RuffinCatharine WangLouise S. AchesonNan RothrockRobert GramlingDonald E. NeaseJennifer L. Beaumont
- Topics
- BRCA gene mutations in cancer (12 papers)Global Cancer Incidence and Screening (6 papers)Family Support in Illness (4 papers)
- Cited by
- Applied PsychologyGeneticsPharmacy
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Preventive MedicinePreventive Medicine
- Partner nations
- United StatesPhilippinesGermany
In The Last Decade
Suzanne M. O’Neill
21 papers receiving 629 citations
Peers
Comparison fields: 5 of 82
- Genetics 344
- Public Health, Environmental and Occupational Health 170
- Oncology 146
- General Health Professions 109
- Sociology and Political Science 84
Countries citing papers authored by Suzanne M. O’Neill
This map shows the geographic impact of Suzanne M. O’Neill'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 Suzanne M. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne M. O’Neill more than expected).
Fields of papers citing papers by Suzanne M. O’Neill
This network shows the impact of papers produced by Suzanne M. O’Neill. 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 Suzanne M. O’Neill. The network helps show where Suzanne M. O’Neill may publish in the future.
Co-authorship network of co-authors of Suzanne M. O’Neill
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne M. O’Neill. A scholar is included among the top collaborators of Suzanne M. O’Neill 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 Suzanne M. O’Neill. Suzanne M. O’Neill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 21 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | Evaluation of a One-Call Center for Utah's Wasatch Front Region | 0 |
| 7 | 2 | |
| 8 | 25 | |
| 9 | 37 | |
| 10 | 70 | |
| 11 | 45 | |
| 12 | 19 | |
| 13 | 15 | |
| 14 | 68 | |
| 15 | 92 | |
| 16 | 108 | |
| 17 | 41 | |
| 18 | 28 | |
| 19 | Mathematical Modeling for Breast Cancer Risk Assessment | 6 |
| 20 | Mathematical modeling for breast cancer risk assessment. State of the art and role in medicine. | 17 |
About Suzanne M. O’Neill
Suzanne M. O’Neill is a scholar working on Pharmacy, Applied Psychology and Genetics, having authored 23 papers that have together received 650 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (12 papers), Global Cancer Incidence and Screening (6 papers) and Family Support in Illness (4 papers). The work is most often cited by research in Applied Psychology (63 citations), Genetics (344 citations) and Pharmacy (31 citations). Suzanne M. O’Neill has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Wendy S. Rubinstein, Mack T. Ruffin, Catharine Wang, Louise S. Acheson, Nan Rothrock, Robert Gramling, Donald E. Nease, Jennifer L. Beaumont, Ananda Sen and June A. Peters. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Preventive Medicine and Preventive Medicine.
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.