Suzanne D. Conzen

8.5k total citations · 3 hit papers
118 papers, 6.4k citations indexed

About

Suzanne D. Conzen is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Suzanne D. Conzen has authored 118 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Genetics, 46 papers in Oncology and 37 papers in Molecular Biology. Recurrent topics in Suzanne D. Conzen's work include Estrogen and related hormone effects (44 papers), MRI in cancer diagnosis (13 papers) and Prostate Cancer Treatment and Research (10 papers). Suzanne D. Conzen is often cited by papers focused on Estrogen and related hormone effects (44 papers), MRI in cancer diagnosis (13 papers) and Prostate Cancer Treatment and Research (10 papers). Suzanne D. Conzen collaborates with scholars based in United States, United Kingdom and Canada. Suzanne D. Conzen's co-authors include Min Zou, Deanna R. Brickley, Masha Kocherginsky, Nissim Hay, Andrew J. Wagner, Alfonso Bellacosa, Joaquı́n Jordán, Scott Kennedy, P N Tsichlis and Christina A. Mikosz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Suzanne D. Conzen

115 papers receiving 6.3k citations

Hit Papers

align trajectories

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.

The PI 3-kinase/Akt signaling pathway delivers an anti-apoptotic signal.

1997 972 citations Andrew J. Wagner, Suzanne D. Conzen et al. profile →
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

2016 373 citations Suzanne D. Conzen et al. profile →
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set

2016 287 citations Suzanne D. Conzen 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 D. Conzen United States	40	2.8k	1.6k	1.3k	995	943	118	6.4k
Michael J. Schell United States	49	3.5k 1.3×	1.5k 0.9×	555 0.4×	269 0.3×	750 0.8×	121	8.8k
Johan Hartman Sweden	34	2.7k 1.0×	2.4k 1.5×	1.9k 1.5×	835 0.8×	1.9k 2.0×	113	6.7k
David W. Craig United States	41	4.0k 1.5×	774 0.5×	2.0k 1.6×	257 0.3×	1.8k 1.9×	138	7.9k
Sergio E. Baranzini United States	53	5.5k 2.0×	1.3k 0.8×	1.1k 0.9×	433 0.4×	1.1k 1.2×	166	13.0k
Jonathan L. Haines United States	75	8.4k 3.1×	756 0.5×	3.6k 2.9×	2.5k 2.6×	465 0.5×	412	21.3k
Mark A. Goldberg United States	42	4.3k 1.6×	927 0.6×	957 0.8×	646 0.6×	3.5k 3.7×	97	9.1k
Anna Sapino Italy	56	3.3k 1.2×	4.1k 2.5×	901 0.7×	1.1k 1.1×	3.6k 3.9×	336	11.0k
Liewei Wang United States	48	4.7k 1.7×	2.0k 1.2×	1.5k 1.2×	202 0.2×	1.6k 1.7×	233	8.7k
Donald G. Payan United States	57	4.5k 1.6×	1.2k 0.7×	365 0.3×	483 0.5×	619 0.7×	159	9.7k
Jeanne Kowalski United States	40	2.2k 0.8×	2.1k 1.3×	329 0.3×	309 0.3×	949 1.0×	186	6.9k

Countries citing papers authored by Suzanne D. Conzen

Since Specialization

Citations

This map shows the geographic impact of Suzanne D. Conzen'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 D. Conzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne D. Conzen more than expected).

Fields of papers citing papers by Suzanne D. Conzen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne D. Conzen. 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 D. Conzen. The network helps show where Suzanne D. Conzen may publish in the future.

Co-authorship network of co-authors of Suzanne D. Conzen

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne D. Conzen. A scholar is included among the top collaborators of Suzanne D. Conzen 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 D. Conzen. Suzanne D. Conzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Nan, Margarite D. Matossian, Murtuza Rampurwala, et al.. (2025). A randomized phase II trial of nab-paclitaxel with or without mifepristone for advanced triple-negative breast cancer. Breast Cancer Research and Treatment. 211(1). 111–119. 1 indexed citations

Dowell, Jonathan E., et al.. (2024). Ten-year atherosclerotic cardiovascular disease risk trajectories among women veteran cancer patients. 2(1). 4 indexed citations

Bennett, Lynda, Praveen Kumar Jaiswal, Tiha M. Long, et al.. (2023). Glucocorticoid Receptor (GR) Activation Is Associated with Increased cAMP/PKA Signaling in Castration-Resistant Prostate Cancer. Molecular Cancer Therapeutics. 23(4). 552–563. 8 indexed citations

Polley, Eric C., Peter H. O’Donnell, Frederick M. Howard, et al.. (2023). Retrospective evaluation of adjuvant capecitabine dosing patterns in triple negative breast cancer.. Journal of Clinical Oncology. 41(16_suppl). e12515–e12515. 1 indexed citations

Kurnit, Katherine C., Ricardo R. Lastra, S. John Weroha, et al.. (2022). High glucocorticoid receptor expression in the sarcomatous versus carcinomatous elements of Mullerian carcinosarcomas. Gynecologic Oncology Reports. 41. 100987–100987. 2 indexed citations

You, Hannah, Ricardo R. Lastra, Sully Fernandez, et al.. (2018). Psychosocial Stress Exposure Disrupts Mammary Gland Development. Journal of Mammary Gland Biology and Neoplasia. 23(1-2). 59–73. 2 indexed citations

Kach, Jacob, Tiha M. Long, Eva Tonsing-Carter, et al.. (2017). Selective Glucocorticoid Receptor Modulators (SGRMs) Delay Castrate-Resistant Prostate Cancer Growth. Molecular Cancer Therapeutics. 16(8). 1680–1692. 37 indexed citations

House, Larry, Michael J. Seminerio, Snezana Mirkov, et al.. (2017). Metabolism of megestrol acetate in vitro and the role of oxidative metabolites. Xenobiotica. 48(10). 973–983. 5 indexed citations

West, Diana C., Deng Pan, Eva Tonsing-Carter, et al.. (2016). GR and ER Coactivation Alters the Expression of Differentiation Genes and Associates with Improved ER+ Breast Cancer Outcome. Molecular Cancer Research. 14(8). 707–719. 80 indexed citations

10.

Volden, Paul A., Maxwell N. Skor, Christopher M. Carmean, et al.. (2013). Chronic Social Isolation Is Associated with Metabolic Gene Expression Changes Specific to Mammary Adipose Tissue. Cancer Prevention Research. 6(7). 634–645. 33 indexed citations

11.

Skor, Maxwell N., Masha Kocherginsky, Anju Goyal, et al.. (2013). Glucocorticoid Receptor Antagonism as a Novel Therapy for Triple-Negative Breast Cancer. Clinical Cancer Research. 19(22). 6163–6172. 152 indexed citations

12.

Pan, Deng, Masha Kocherginsky, & Suzanne D. Conzen. (2011). Activation of the Glucocorticoid Receptor Is Associated with Poor Prognosis in Estrogen Receptor-Negative Breast Cancer. Cancer Research. 71(20). 6360–6370. 210 indexed citations

13.

Williams, James B., Diana Pang, Bertha Delgado, et al.. (2009). A Model of Gene-Environment Interaction Reveals Altered Mammary Gland Gene Expression and Increased Tumor Growth following Social Isolation. Cancer Prevention Research. 2(10). 850–861. 91 indexed citations

14.

Yamada, S. Diane, Gini F. Fleming, Bertha Delgado, et al.. (2009). Administration of Glucocorticoids to Ovarian Cancer Patients Is Associated with Expression of the Anti-apoptotic Genes SGK1 and MKP1/DUSP1 in Ovarian Tissues. Clinical Cancer Research. 15(9). 3196–3204. 68 indexed citations

15.

Brickley, Deanna R., et al.. (2008). Hsp90 Regulates the Phosphorylation and Activity of Serum- and Glucocorticoid-regulated Kinase-1. Journal of Biological Chemistry. 283(27). 18821–18831. 14 indexed citations

16.

Conzen, Suzanne D., Xiaobing Fan, Thomas Krausz, et al.. (2008). Detection ofin situmammary cancer in a transgenic mouse model:in vitroandin vivoMRI studies demonstrate histopathologic correlation. Physics in Medicine and Biology. 53(19). 5481–5493. 20 indexed citations

17.

Nantel, André, Anouk Emadali, G. Tzimas, et al.. (2008). The MAP Kinase Phosphatase-1 MKP-1/DUSP1 Is a Regulator of Human Liver Response to Transplantation. American Journal of Transplantation. 8(12). 2558–2568. 22 indexed citations

18.

Conzen, Suzanne D.. (2003). Current Status of Selective Estrogen Receptor Modulators (SERMs). The Cancer Journal. 9(1). 4–14. 11 indexed citations

19.

Conzen, Suzanne D., et al.. (2000). Induction of Cell Cycle Progression and Acceleration of Apoptosis Are Two Separable Functions of c-Myc: Transrepression Correlates with Acceleration of Apoptosis. Molecular and Cellular Biology. 20(16). 6008–6018. 94 indexed citations

20.

Lü, Meiling, Suzanne D. Conzen, Charles N. Cole, & Bradley A. Arrick. (1996). Characterization of functional messenger RNA splice variants of BRCA1 expressed in nonmalignant and tumor-derived breast cells.. PubMed. 56(20). 4578–81. 69 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.

Explore authors with similar magnitude of impact