Carol Sawka
- Oncology top 0.5%
- Cancer Research top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Kathleen I. PritchardMaureen TrudeauWedad HannaL. LickleyPing SunSteven A. NarodEllen RawlinsonRebecca Dent
- Topics
- Breast Cancer Treatment Studies (19 papers)Clinical practice guidelines implementation (15 papers)Global Cancer Incidence and Screening (15 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Carol Sawka
68 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Oncology 3.8k
- Cancer Research 2.5k
- Molecular Biology 1.5k
- Pulmonary and Respiratory Medicine 1.0k
- Pathology and Forensic Medicine 935
Countries citing papers authored by Carol Sawka
This map shows the geographic impact of Carol Sawka'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 Carol Sawka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Sawka more than expected).
Fields of papers citing papers by Carol Sawka
This network shows the impact of papers produced by Carol Sawka. 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 Carol Sawka. The network helps show where Carol Sawka may publish in the future.
Co-authorship network of co-authors of Carol Sawka
This figure shows the co-authorship network connecting the top 25 collaborators of Carol Sawka. A scholar is included among the top collaborators of Carol Sawka 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 Carol Sawka. Carol Sawka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Primary care providers' experiences with and perceptions of personalized genomic medicine. | 87 |
| 2 | 41 | |
| 3 | 5 | |
| 4 | 29 | |
| 5 | Triple-Negative Breast Cancer: Clinical Features and Patterns of Recurrencebreakdown → | 3772 |
| 6 | 35 | |
| 7 | 2 | |
| 8 | 37 | |
| 9 | 67 | |
| 10 | 61 | |
| 11 | Patterns of initial management of node-negative breast cancer in two Canadian provinces. British Columbia/Ontario Working Group. | 61 |
| 12 | 3 | |
| 13 | 49 | |
| 14 | 46 | |
| 15 | 30 | |
| 16 | 39 | |
| 17 | 1 | |
| 18 | 45 | |
| 19 | 4 | |
| 20 | 8 |
About Carol Sawka
Carol Sawka is a scholar working on Issues, ethics and legal aspects, Cancer Research and Oncology, having authored 70 papers that have together received 7.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (19 papers), Clinical practice guidelines implementation (15 papers) and Global Cancer Incidence and Screening (15 papers). The work is most often cited by research in Cancer Research (2.5k citations), Oncology (3.8k citations) and Pathology and Forensic Medicine (935 citations). Carol Sawka has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Kathleen I. Pritchard, Maureen Trudeau, Wedad Hanna, L. Lickley, Ping Sun, Steven A. Narod, Ellen Rawlinson, Rebecca Dent, Vivek Goel and Elaine C. Thiel. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer.
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.