Suzanne A.W. Fuqua

21.7k total citations · 3 hit papers
203 papers, 16.6k citations indexed

About

Suzanne A.W. Fuqua is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Suzanne A.W. Fuqua has authored 203 papers receiving a total of 16.6k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 112 papers in Genetics and 85 papers in Oncology. Recurrent topics in Suzanne A.W. Fuqua's 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). Suzanne A.W. Fuqua is often cited by papers focused on Estrogen and related hormone effects (103 papers), HER2/EGFR in Cancer Research (38 papers) and Retinoids in leukemia and cellular processes (22 papers). Suzanne A.W. Fuqua collaborates with scholars based in United States, Italy and Canada. Suzanne A.W. Fuqua's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Suzanne A.W. Fuqua

200 papers receiving 16.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancer

2014 936 citations Matthew D. Burstein, Anna Tsimelzon et al. Clinical Cancer Research profile →
Association of p53 Protein Expression With Tumor Cell Proliferation Rate and Clinical Outcome in Node-Negative Breast Cancer

1993 683 citations D. Craig Allred, Gary M. Clark et al. profile →
Role of the Estrogen Receptor Coactivator AIB1 (SRC-3) and HER-2/neu in Tamoxifen Resistance in Breast Cancer

2003 642 citations C. Kent Osborne, Torsten Hopp et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Suzanne A.W. Fuqua United States	69	9.3k	6.6k	6.4k	4.0k	1.8k	203	16.6k
Robert L. Sutherland Australia	78	10.4k 1.1×	5.0k 0.8×	7.8k 1.2×	3.8k 1.0×	3.3k 1.8×	236	19.2k
Rosette Lidereau France	70	9.5k 1.0×	3.3k 0.5×	6.3k 1.0×	5.0k 1.3×	1.9k 1.0×	263	16.1k
Robert B. Dickson United States	73	8.9k 1.0×	4.3k 0.6×	5.9k 0.9×	3.6k 0.9×	871 0.5×	221	16.1k
Elizabeth A. Musgrove Australia	60	7.4k 0.8×	3.0k 0.5×	6.6k 1.0×	3.2k 0.8×	2.3k 1.3×	144	13.6k
Colin C. Collins Canada	59	10.2k 1.1×	4.6k 0.7×	2.6k 0.4×	4.5k 1.1×	3.5k 1.9×	201	16.6k
Ivan Bièche France	76	11.1k 1.2×	2.7k 0.4×	5.9k 0.9×	5.7k 1.4×	2.6k 1.4×	497	20.2k
Simak Ali United Kingdom	55	7.3k 0.8×	4.8k 0.7×	4.2k 0.7×	2.3k 0.6×	1.5k 0.8×	157	11.8k
Gary C. Chamness United States	48	4.9k 0.5×	3.6k 0.6×	5.7k 0.9×	3.4k 0.9×	1.2k 0.6×	95	11.3k
Lewis A. Chodosh United States	61	9.6k 1.0×	2.8k 0.4×	4.4k 0.7×	3.1k 0.8×	965 0.5×	153	14.4k
Kathryn B. Horwitz United States	70	6.9k 0.7×	10.4k 1.6×	4.8k 0.8×	2.2k 0.6×	949 0.5×	172	16.1k

Countries citing papers authored by Suzanne A.W. Fuqua

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Damodaran, Senthil, et al.. (2026). Personalizing therapies over the course of hormone receptor‐positive/HER2‐negative metastatic breast cancer. CA A Cancer Journal for Clinicians. 76(1). e70055–e70055.

Shafer, Paul, Mae Woods, Jong Min Choi, et al.. (2024). Incongruity between T cell receptor recognition of breast cancer hotspot mutations ESR1 Y537S and D538G following exogenous peptide loading versus endogenous antigen processing. Cytotherapy. 26(3). 266–275. 1 indexed citations

Park, Jun Hyoung, Sandra L. Grimm, Danthasinghe Waduge Badrajee Piyarathna, et al.. (2023). Metabolomic Rewiring Promotes Endocrine Therapy Resistance in Breast Cancer. Cancer Research. 84(2). 291–304. 21 indexed citations

Hollander, Petra den, Anna Tsimelzon, Jonathan H. Shepherd, et al.. (2016). Phosphatase PTP4A3 Promotes Triple-Negative Breast Cancer Growth and Predicts Poor Patient Survival. Cancer Research. 76(7). 1942–1953. 70 indexed citations

Burstein, Matthew D., Anna Tsimelzon, Graham M. Poage, et al.. (2014). Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancer. Clinical Cancer Research. 21(7). 1688–1698. 936 indexed citations breakdown →

Barone, Ines, Stefania Catalano, Luca Gelsomino, et al.. (2012). Leptin Mediates Tumor–Stromal Interactions That Promote the Invasive Growth of Breast Cancer Cells. Cancer Research. 72(6). 1416–1427. 98 indexed citations

Knutson, Todd P., Andrea R. Daniel, Danhua Fan, et al.. (2012). Phosphorylated and sumoylation-deficient progesterone receptors drive proliferative gene signatures during breast cancer progression. Breast Cancer Research. 14(3). R95–R95. 85 indexed citations

Eswaran, Jeyanthy, Dinesh Cyanam, Prakriti Mudvari, et al.. (2012). Transcriptomic landscape of breast cancers through mRNA sequencing. Scientific Reports. 2(1). 264–264. 71 indexed citations

Selever, Jennifer, Guowei Gu, Michael T. Lewis, et al.. (2011). Dicer-Mediated Upregulation of BCRP Confers Tamoxifen Resistance in Human Breast Cancer Cells. Clinical Cancer Research. 17(20). 6510–6521. 45 indexed citations

10.

Amicis, Francesca De, Francesca Giordano, Adele Vivacqua, et al.. (2011). Resveratrol, through NF‐Y/p53/Sin3/HDAC1 complex phosphorylation, inhibits estrogen receptor α gene expression via p38 ^MAPK /CK2 signaling in human breast cancer cells. The FASEB Journal. 25(10). 3695–3707. 62 indexed citations

11.

Ohshiro, Kazufumi, Prakriti Mudvari, Suresh K. Rayala, et al.. (2010). Identification of a Novel Estrogen Receptor-α Variant and Its Upstream Splicing Regulator. Molecular Endocrinology. 24(5). 914–922. 10 indexed citations

12.

Herynk, Matthew H., Michael T. Lewis, Torsten Hopp, et al.. (2009). Accelerated mammary maturation and differentiation, and delayed MMTVneu-induced tumorigenesis of K303R mutant ERα transgenic mice. Oncogene. 28(36). 3177–3187. 4 indexed citations

13.

Fuqua, Suzanne A.W., Rachel Schiff, Irma Parra, et al.. (2003). Estrogen receptor beta protein in human breast cancer: correlation with clinical tumor parameters.. PubMed. 63(10). 2434–9. 131 indexed citations

14.

Su, Jui‐Lan, David D. McKee, Byron Ellis, et al.. (2000). Production and Characterization of an Estrogen Receptor β Subtype-Specific Mouse Monoclonal Antibody. Hybridoma. 19(6). 481–487. 7 indexed citations

15.

Zhang, Qiuxia, Åke Borg, Douglas M. Wolf, Steffi Oesterreich, & Suzanne A.W. Fuqua. (1997). An estrogen receptor mutant with strong hormone-independent activity from a metastatic breast cancer.. PubMed. 57(7). 1244–9. 221 indexed citations

16.

Lemieux, Pierre & Suzanne A.W. Fuqua. (1996). The role of the estrogen receptor in tumor progression. The Journal of Steroid Biochemistry and Molecular Biology. 56(1-6). 87–91. 49 indexed citations

17.

Ravdin, Peter M., Amol Tandon, D. Craig Allred, et al.. (1994). Cathepsin D by western blotting and immunohistochemistry: failure to confirm correlations with prognosis in node-negative breast cancer.. Journal of Clinical Oncology. 12(3). 467–474. 47 indexed citations

18.

Stein, D. L., Jian Wu, Suzanne A.W. Fuqua, et al.. (1994). The SH2 domain protein GRB-7 is co-amplified, overexpressed and in a tight complex with HER2 in breast cancer.. The EMBO Journal. 13(6). 1331–1340. 206 indexed citations

19.

Borg, Åke, Amol Tandon, Helgi Sigurðsson, et al.. (1990). HER-2/neu amplification predicts poor survival in node-positive breast cancer.. PubMed. 50(14). 4332–7. 393 indexed citations

20.

McGuire, Sean E., et al.. (1989). Chromosomal assignments of human 27-kDa heat shock protein gene family. Somatic Cell and Molecular Genetics. 15(2). 167–171. 19 indexed citations

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.

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