Stefanie S. Jeffrey
- Molecular Biology top 0.1%
- Cancer Research top 0.01%
- Oncology top 0.05%
- Genetics top 0.1%
- Pathology and Forensic Medicine top 0.1%
- Co-authors
- David BotsteinPatrick O. BrownCharles M. PerouMichael B. EisenMatt van de RijnPer Eystein LønningThérese SørlieHilde Johnsen
- Topics
- Cancer Genomics and Diagnostics (31 papers)Cancer Cells and Metastasis (31 papers)Breast Cancer Treatment Studies (26 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
- Molecular Biology 16.6k
- Cancer Research 14.9k
- Oncology 13.8k
- Genetics 4.7k
- Pathology and Forensic Medicine 4.2k
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 of co-authors of Stefanie S. Jeffrey
This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie S. Jeffrey. A scholar is included among the top collaborators of Stefanie S. Jeffrey 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 Stefanie S. Jeffrey. Stefanie S. Jeffrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 20 | |
| 7 | 50 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 148 | |
| 11 | 46 | |
| 12 | 288 | |
| 13 | 21 | |
| 14 | 9 | |
| 15 | 43 | |
| 16 | 28 | |
| 17 | 17 | |
| 18 | 17 | |
| 19 | Distinctive gene expression patterns in human mammary epithelial cells and breast cancersbreakdown → | 1087 |
| 20 | 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) and Breast Cancer Treatment Studies (26 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 Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.