Lynda Sawyer
- Cancer Research top 1%
- Breast Cancer Treatment Studies 8
- Oncology top 2%
- HER2/EGFR in Cancer Research 4
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- Breast Lesions and Carcinomas 6
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- Lung Cancer Treatments and Mutations 2
- Molecular Biology top 10%
- Glutathione Transferases and Polymorphisms 2
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- Breast Implant and Reconstruction 4
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- BRCA gene mutations in cancer 2
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- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Lisa A. CareyCarolyn I. SartorDominic T. MooreMark L. GrahamDavid W. OllilaElizabeth Claire DeesCharles M. PerouFrances A. Collichio
- Journals
- JNCI Journal of the National Cancer Institute (1 paper)Annals of Surgery (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Lynda Sawyer
16 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 1.5k
- Oncology 1.5k
- Pathology and Forensic Medicine 552
- Pulmonary and Respiratory Medicine 375
- Molecular Biology 697
Countries citing papers authored by Lynda Sawyer
This map shows the geographic impact of Lynda 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 Lynda Sawyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynda Sawyer more than expected).
Fields of papers citing papers by Lynda Sawyer
This network shows the impact of papers produced by Lynda 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 Lynda Sawyer. The network helps show where Lynda Sawyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lynda Sawyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 2 | |
| 2 | 2019 | 1 | |
| 3 | 2019 | 0 | |
| 4 | 2019 | 0 | |
| 5 | 2012 | 62 | |
| 6 | 2010 | 19 | |
| 7 | 2008 | 41 | |
| 8 | 2007 | 222 | |
| 9 | 2007 | 19 | |
| 10 | The Triple Negative Paradox: Primary Tumor Chemosensitivity of Breast Cancer Subtypesbreakdown → | 2007 | 1623 |
| 11 | 2006 | 12 | |
| 12 | 2006 | 54 | |
| 13 | 2006 | 47 | |
| 14 | 2006 | 30 | |
| 15 | 2005 | 151 | |
| 16 | 2004 | 46 | |
| 17 | 2002 | 114 | |
| 18 | 2002 | 99 |
About Lynda Sawyer
Lynda Sawyer is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (6 papers), HER2/EGFR in Cancer Research (4 papers), Breast Implant and Reconstruction (4 papers), BRCA gene mutations in cancer (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (1.5k citations) and Pathology and Forensic Medicine (552 citations). Lynda Sawyer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lisa A. Carey, Carolyn I. Sartor, Dominic T. Moore, Mark L. Graham, David W. Ollila, Elizabeth Claire Dees, Charles M. Perou, Frances A. Collichio, Benjamin F. Calvo and Julian Rosenman. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Annals of Surgery and Clinical Cancer Research.
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.