Suzanne A.W. Fuqua
- Cancer Research top 0.2%
- Breast Cancer Treatment Studies 18
- Cancer Genomics and Diagnostics 14
- Genetics top 0.05%
- Estrogen and related hormone effects 103
- Oncology top 0.2%
- HER2/EGFR in Cancer Research 38
- Cancer-related Molecular Pathways 20
- Cytokine Signaling Pathways and Interactions 14
- Molecular Biology top 0.5%
- Retinoids in leukemia and cellular processes 22
- Heat shock proteins research 21
- Toxicology top 0.5%
- Co-authors
- William McGuireGary C. ChamnessC. Kent OsborneGary M. ClarkSusan G. HilsenbeckSteffi OesterreichD. Craig AllredMatthew H. Herynk
- Cited by
- Cancer ResearchGeneticsOncology
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)Journal of Clinical Oncology (5 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Suzanne A.W. Fuqua
200 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Cancer Research 4.0k
- Genetics 6.6k
- Oncology 6.4k
- Molecular Biology 9.3k
- Toxicology 260
Countries citing papers authored by Suzanne A.W. Fuqua
This map shows the geographic impact of Suzanne A.W. Fuqua'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 Suzanne A.W. Fuqua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne A.W. Fuqua more than expected).
Fields of papers citing papers by Suzanne A.W. Fuqua
This network shows the impact of papers produced by Suzanne A.W. Fuqua. 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 Suzanne A.W. Fuqua. The network helps show where Suzanne A.W. Fuqua may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suzanne A.W. Fuqua, 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 | 2023 | 21 | |
| 3 | 2016 | 70 | |
| 4 | 2015 | 44 | |
| 5 | Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancerbreakdown → | 2014 | 936 |
| 6 | 2013 | 54 | |
| 7 | 2012 | 98 | |
| 8 | 2012 | 85 | |
| 9 | 2012 | 74 | |
| 10 | 2011 | 45 | |
| 11 | 2011 | 62 | |
| 12 | 2009 | 4 | |
| 13 | 2000 | 7 | |
| 14 | 1996 | 49 | |
| 15 | 1994 | 206 | |
| 16 | 1994 | 47 | |
| 17 | 1994 | 98 | |
| 18 | 1993 | 12 | |
| 19 | HER-2/neu amplification predicts poor survival in node-positive breast cancer. | 1990 | 393 |
| 20 | 1989 | 19 |
About Suzanne A.W. Fuqua
Suzanne A.W. Fuqua is a scholar working on Genetics, Oncology and Cancer Research, having authored 203 papers that have together received 16.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (103 papers), HER2/EGFR in Cancer Research (38 papers), Retinoids in leukemia and cellular processes (22 papers), Heat shock proteins research (21 papers), Cancer-related Molecular Pathways (20 papers), Breast Cancer Treatment Studies (18 papers), Cancer Genomics and Diagnostics (14 papers) and Cytokine Signaling Pathways and Interactions (14 papers). The work is most often cited by research in Cancer Research (4.0k citations), Genetics (6.6k citations) and Oncology (6.4k citations). Suzanne A.W. Fuqua has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include William McGuire, Gary C. Chamness, C. Kent Osborne, Gary M. Clark, Susan G. Hilsenbeck, Steffi Oesterreich, D. Craig Allred, D. Craig Allred, C. Kent Osborne and Matthew H. Herynk. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.