Stefanie S. Jeffrey
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics 31
- Breast Cancer Treatment Studies 26
- Oncology top 0.05%
- Cancer Cells and Metastasis 31
- Molecular Biology top 0.1%
- Gene expression and cancer classification 17
- Molecular Biology Techniques and Applications 11
- Pathology and Forensic Medicine top 0.1%
- Breast Lesions and Carcinomas 15
- Genetics top 0.1%
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- Microfluidic and Bio-sensing Technologies 15
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- MRI in cancer diagnosis 11
- Co-authors
- David BotsteinPatrick O. BrownCharles M. PerouMichael B. EisenMatt van de RijnPer Eystein LønningThérese SørlieHilde Johnsen
- Journals
- Breast Cancer Research (6 papers)Proceedings of the National Academy of Sciences (6 papers)Radiology (4 papers)
- Partner nations
- United StatesNorwaySouth Korea
In The Last Decade
Stefanie S. Jeffrey
132 papers receiving 32.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 14.9k
- Oncology 13.8k
- Molecular Biology 16.6k
- Pathology and Forensic Medicine 4.2k
- Genetics 4.7k
Countries citing papers authored by Stefanie S. Jeffrey
This map shows the geographic impact of Stefanie S. Jeffrey'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 Stefanie S. Jeffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanie S. Jeffrey more than expected).
Fields of papers citing papers by Stefanie S. Jeffrey
This network shows the impact of papers produced by Stefanie S. Jeffrey. 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 Stefanie S. Jeffrey. The network helps show where Stefanie S. Jeffrey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefanie S. Jeffrey, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 4 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 50 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 7 | |
| 10 | 2018 | 148 | |
| 11 | 2017 | 46 | |
| 12 | 2015 | 288 | |
| 13 | 2014 | 21 | |
| 14 | 2009 | 9 | |
| 15 | 2008 | 43 | |
| 16 | 2007 | 28 | |
| 17 | 2006 | 17 | |
| 18 | 2000 | 17 | |
| 19 | Distinctive gene expression patterns in human mammary epithelial cells and breast cancersbreakdown → | 1999 | 1087 |
| 20 | 1998 | 154 |
About Stefanie S. Jeffrey
Stefanie S. Jeffrey is a scholar working on Cancer Research, Oncology and Biophysics, having authored 138 papers that have together received 33.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (31 papers), Cancer Cells and Metastasis (31 papers), Breast Cancer Treatment Studies (26 papers), Gene expression and cancer classification (17 papers), Microfluidic and Bio-sensing Technologies (15 papers), Breast Lesions and Carcinomas (15 papers), MRI in cancer diagnosis (11 papers) and Molecular Biology Techniques and Applications (11 papers). The work is most often cited by research in Cancer Research (14.9k citations), Oncology (13.8k citations) and Molecular Biology (16.6k citations). Stefanie S. Jeffrey has collaborated with scholars based in United States, Norway and South Korea. Frequent co-authors include David Botstein, Patrick O. Brown, Charles M. Perou, Michael B. Eisen, Matt van de Rijn, Per Eystein Lønning, Thérese Sørlie, Hilde Johnsen, Alexander Pergamenschikov and Christian A. Rees. Their work appears in journals such as Breast Cancer Research, Proceedings of the National Academy of Sciences, Radiology, Nano Letters and 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.