C. Sawka

871 citations
13 papers · 652 · h-index 8

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Cancer Treatment and Pharmacology
    • Cancer survivorship and care
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery

Papers in

    • Cancer Treatment and Pharmacology 1
    • Cutaneous Melanoma Detection and Management 1
    • Multiple and Secondary Primary Cancers 2

C. Sawka

13 papers receiving 609 citations

Peers

C. Sawka
Comparison fields: 5 of 94
  • Oncology 357
  • Biomaterials 94
  • Genetics 76
  • Pathology and Forensic Medicine 112
  • Genetics 105
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C. Sawka relative to Carlos Alemany United States Carlos Alemany's profile →
Citations per field
00.5×2.6×
Carlos Alemany · 1×
Citations per year

Countries citing papers authored by C. Sawka

Since Specialization
Citations

This map shows the geographic impact of C. 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 C. Sawka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Sawka more than expected).

Fields of papers citing papers by C. Sawka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. 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 C. Sawka. The network helps show where C. Sawka may publish in the future.

Co-authors

The 25 scholars most cited alongside C. Sawka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Sawka Line = papers co-authored together C. Sawka links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1996319
2
Role and mechanism of action of tamoxifen in premenopausal women with metastatic breast carcinoma.
198686
3 201069
4 199661
5 199642
6
Information needs of women with metastatic breast cancer.
199836
7
An epidemiological review of red cell transfusions in cancer chemotherapy.
199915
8 200410
9 19957
10 20033
11 20062
12 20071
13 19851

About C. Sawka

C. Sawka is a scholar working on Oncology, Epidemiology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 13 papers that have together received 652 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Estrogen and related hormone effects (3 papers), Menopause: Health Impacts and Treatments (2 papers), Palliative Care and End-of-Life Issues (2 papers), Multiple and Secondary Primary Cancers (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Cancer Treatment and Pharmacology (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Oncology (357 citations), Biomaterials (94 citations), Genetics (76 citations), Pathology and Forensic Medicine (112 citations) and Genetics (105 citations). C. Sawka has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Philip Cohen, A. Myers, Parkash S. Gill, Michael E. Ross, Malcolm C. Pike, David T. Scadden, Ivan Silverberg, Mark U. Rarick, J Wernz and Geoffrey Mukwaya. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer Research and Treatment, The Lancet, European Journal of Cancer and The Breast.

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.

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