Sarah Sawyer

1.2k total citations
17 papers, 727 citations indexed

About

Sarah Sawyer is a scholar working on Genetics, Cancer Research and Oncology. According to data from OpenAlex, Sarah Sawyer has authored 17 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Sarah Sawyer's work include BRCA gene mutations in cancer (10 papers), Cancer Genomics and Diagnostics (8 papers) and Genetic factors in colorectal cancer (5 papers). Sarah Sawyer is often cited by papers focused on BRCA gene mutations in cancer (10 papers), Cancer Genomics and Diagnostics (8 papers) and Genetic factors in colorectal cancer (5 papers). Sarah Sawyer collaborates with scholars based in Australia, United States and United Kingdom. Sarah Sawyer's co-authors include P D Phelan, Glenn Bowes, Robert Gasperini, Bruce Taylor, Michelle A. Keske, Lisa Foa, Adrian K. West, Dino Premilovac, Paul A. James and Gillian Mitchell and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Sarah Sawyer

17 papers receiving 713 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah Sawyer Australia 11 265 203 148 140 113 17 727
M.D. Mann United States 12 114 0.4× 254 1.3× 245 1.7× 102 0.7× 79 0.7× 43 855
Junko Nagata Japan 15 286 1.1× 196 1.0× 267 1.8× 65 0.5× 50 0.4× 66 869
Jason P. Sinnwell United States 17 324 1.2× 136 0.7× 273 1.8× 136 1.0× 40 0.4× 58 867
Arti Tandon United States 15 1.1k 4.0× 113 0.6× 359 2.4× 163 1.2× 127 1.1× 21 1.6k
Albert Min‐Shan Ko Taiwan 24 493 1.9× 83 0.4× 461 3.1× 106 0.8× 114 1.0× 47 1.8k
H Schmidt Germany 23 89 0.3× 218 1.1× 317 2.1× 137 1.0× 81 0.7× 48 1.3k
Sofia Cividini United Kingdom 10 116 0.4× 203 1.0× 191 1.3× 168 1.2× 37 0.3× 15 759
Stephanie M. Smith United States 17 74 0.3× 322 1.6× 256 1.7× 159 1.1× 113 1.0× 55 1.1k
Angelena Crown United States 14 127 0.5× 237 1.2× 241 1.6× 205 1.5× 120 1.1× 47 1.0k
K.-D. Schulz Germany 20 419 1.6× 243 1.2× 266 1.8× 179 1.3× 97 0.9× 68 1.2k

Countries citing papers authored by Sarah Sawyer

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Sawyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Sawyer

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Sawyer. A scholar is included among the top collaborators of Sarah Sawyer 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 Sarah Sawyer. Sarah Sawyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kasi, Pashtoon Murtaza, Sakti Chakrabarti, Sarah Sawyer, et al.. (2022). BESPOKE IO protocol: a multicentre, prospective observational study evaluating the utility of ctDNA in guiding immunotherapy in patients with advanced solid tumours. BMJ Open. 12(5). e060342–e060342. 9 indexed citations
2.
Kasi, Pashtoon Murtaza, Sarah Sawyer, Michelle L. Munro, et al.. (2021). BESPOKE study protocol: a multicentre, prospective observational study to evaluate the impact of circulating tumour DNA guided therapy on patients with colorectal cancer. BMJ Open. 11(9). e047831–e047831. 33 indexed citations
3.
Kasi, Pashtoon Murtaza, Sarah Sawyer, Michelle L. Munro, et al.. (2020). 520TiP A multicenter study to evaluate the impact of circulating tumor DNA guided therapy (BESPOKE) in patients with stage II and III colorectal cancer. Annals of Oncology. 31. S459–S459. 2 indexed citations
4.
Shieh, Yiwey, Laura Fejerman, Sarah Sawyer, et al.. (2019). Abstract 2419: A polygenic risk score predicts breast cancer risk in Latinas. Cancer Research. 79(13_Supplement). 2419–2419. 1 indexed citations
5.
Forrest, Laura, Sarah Sawyer, Nina Hallowell, Paul A. James, & Mary‐Anne Young. (2018). High-risk women’s risk perception after receiving personalized polygenic breast cancer risk information. Journal of Community Genetics. 10(2). 197–206. 24 indexed citations
6.
Premilovac, Dino, Robert Gasperini, Sarah Sawyer, et al.. (2017). A New Method for Targeted and Sustained Induction of Type 2 Diabetes in Rodents. Scientific Reports. 7(1). 14158–14158. 184 indexed citations
7.
Young, Mary‐Anne, Laura Forrest, Paul A. James, et al.. (2017). Making Sense of SNPs: Women's Understanding and Experiences of Receiving a Personalized Profile of Their Breast Cancer Risks. Journal of Genetic Counseling. 27(3). 702–708. 32 indexed citations
8.
Shieh, Yiwey, Martin Eklund, Lisa Madlensky, et al.. (2016). Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial. JNCI Journal of the National Cancer Institute. 109(5). djw290–djw290. 148 indexed citations
9.
Kaplan, Celia P., Sarah Sawyer, Jeffrey A. Tice, et al.. (2016). The WISDOM study pilot: Evaluating a preference-tolerant RCT of risk-based vs. annual breast cancer screening.. Journal of Clinical Oncology. 34(15_suppl). e13035–e13035. 2 indexed citations
10.
James, Paul A., Sarah Sawyer, Mary‐Anne Young, et al.. (2015). Large genomic rearrangements in the familial breast and ovarian cancer gene BRCA1 are associated with an increased frequency of high risk features. Familial Cancer. 14(2). 287–295. 19 indexed citations
11.
Thompson, Ella R., Simone M. Rowley, Sarah Sawyer, et al.. (2013). Analysis of RAD51D in Ovarian Cancer Patients and Families with a History of Ovarian or Breast Cancer. PLoS ONE. 8(1). e54772–e54772. 30 indexed citations
12.
Teo, Zhi L., Sarah Sawyer, Paul A. James, et al.. (2013). The incidence of PALB2 c.3113G>A in women with a strong family history of breast and ovarian cancer attending familial cancer centres in Australia. Familial Cancer. 12(4). 587–595. 9 indexed citations
13.
Johnson, Julie K., Sarah Sawyer, Georgia Chenevix‐Trench, et al.. (2012). Analysis of RAD51C germline mutations in high-risk breast and ovarian cancer families and ovarian cancer patients. Hereditary Cancer in Clinical Practice. 10(Suppl 2). A84–A84. 5 indexed citations
14.
Sawyer, Sarah, Gillian Mitchell, Joanne McKinley, et al.. (2012). A Role for Common Genomic Variants in the Assessment of Familial Breast Cancer. Journal of Clinical Oncology. 30(35). 4330–4336. 60 indexed citations
15.
Warrier, Satish K., Alison H. Trainer, A. Craig Lynch, et al.. (2011). Preoperative Diagnosis of Lynch Syndrome With DNA Mismatch Repair Immunohistochemistry on a Diagnostic Biopsy. Diseases of the Colon & Rectum. 54(12). 1480–1487. 28 indexed citations
16.
Thompson, Ella R., Samantha E. Boyle, Julie K. Johnson, et al.. (2011). Analysis of RAD51C germline mutations in high-risk breast and ovarian cancer families and ovarian cancer patients. Human Mutation. 33(1). 95–99. 53 indexed citations
17.
Sawyer, Sarah, P D Phelan, & Glenn Bowes. (1995). Reproductive health in young women with cystic fibrosis: Knowledge, behavior and attitudes. Journal of Adolescent Health. 17(1). 46–50. 88 indexed citations

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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