Suzanne A.W. Fuqua
- Molecular Biology top 0.5%
- Genetics top 0.05%
- Oncology top 0.2%
- Cancer Research top 0.2%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- William McGuireGary C. ChamnessC. Kent OsborneGary M. ClarkSusan G. HilsenbeckSteffi OesterreichD. Craig AllredMatthew H. Herynk
- Topics
- Estrogen and related hormone effects (103 papers)HER2/EGFR in Cancer Research (38 papers)Retinoids in leukemia and cellular processes (22 papers)
- Cited by
- Cancer ResearchGeneticsOncology
- 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
- Molecular Biology 9.3k
- Genetics 6.6k
- Oncology 6.4k
- Cancer Research 4.0k
- Pulmonary and Respiratory Medicine 1.8k
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 of co-authors of Suzanne A.W. Fuqua
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne A.W. Fuqua. A scholar is included among the top collaborators of Suzanne A.W. Fuqua 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 Suzanne A.W. Fuqua. Suzanne A.W. Fuqua 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 | 21 | |
| 3 | 70 | |
| 4 | 44 | |
| 5 | Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancerbreakdown → | 936 |
| 6 | 54 | |
| 7 | 98 | |
| 8 | 85 | |
| 9 | 74 | |
| 10 | 45 | |
| 11 | 62 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 49 | |
| 15 | 206 | |
| 16 | 47 | |
| 17 | 98 | |
| 18 | 12 | |
| 19 | HER-2/neu amplification predicts poor survival in node-positive breast cancer. | 393 |
| 20 | 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) and Retinoids in leukemia and cellular processes (22 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.