Steffi Oesterreich

16.4k total citations · 1 hit paper
216 papers, 7.8k citations indexed

About

Steffi Oesterreich is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Steffi Oesterreich has authored 216 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Molecular Biology, 76 papers in Oncology and 71 papers in Genetics. Recurrent topics in Steffi Oesterreich's work include Estrogen and related hormone effects (58 papers), Breast Cancer Treatment Studies (36 papers) and Cancer Genomics and Diagnostics (27 papers). Steffi Oesterreich is often cited by papers focused on Estrogen and related hormone effects (58 papers), Breast Cancer Treatment Studies (36 papers) and Cancer Genomics and Diagnostics (27 papers). Steffi Oesterreich collaborates with scholars based in United States, China and Germany. Steffi Oesterreich's co-authors include Adrian V. Lee, Suzanne A.W. Fuqua, Nancy E. Davidson, Gary C. Chamness, Susan G. Hilsenbeck, Daniel R. Ciocca, William McGuire, Xiaojiang Cui, Yi Huang and Matthew J. Sikora and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Steffi Oesterreich

207 papers receiving 7.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Immune Landscape of Viral- and Carcinogen-Driven Head and Neck Cancer

2020 452 citations Steffi Oesterreich et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steffi Oesterreich United States	49	4.7k	2.5k	1.8k	1.8k	1.1k	216	7.8k
Valerie Speirs United Kingdom	46	3.7k 0.8×	3.1k 1.2×	2.2k 1.2×	2.5k 1.4×	682 0.6×	194	8.0k
Craig Robson United Kingdom	58	7.1k 1.5×	2.4k 1.0×	1.5k 0.9×	1.1k 0.6×	2.2k 2.1×	197	9.6k
Pearlly S. Yan United States	50	6.5k 1.4×	1.7k 0.7×	1.7k 1.0×	1.3k 0.8×	640 0.6×	139	8.6k
Onno Kranenburg Netherlands	52	5.4k 1.2×	3.0k 1.2×	1.5k 0.9×	1.0k 0.6×	612 0.6×	188	9.8k
Lisa M. Butler Australia	41	4.0k 0.8×	1.6k 0.6×	2.1k 1.2×	806 0.5×	1.8k 1.7×	149	6.7k
Simak Ali United Kingdom	55	7.3k 1.5×	4.2k 1.7×	2.3k 1.3×	4.8k 2.7×	1.5k 1.4×	157	11.8k
Dan Mercola United States	55	6.0k 1.3×	2.0k 0.8×	1.4k 0.8×	755 0.4×	831 0.8×	130	8.4k
Hui‐Kuan Lin United States	53	7.6k 1.6×	2.3k 0.9×	2.4k 1.4×	1.0k 0.6×	1.8k 1.7×	120	10.7k
Ben Ho Park United States	43	5.2k 1.1×	2.5k 1.0×	2.2k 1.3×	1.1k 0.6×	1.5k 1.4×	142	8.0k
Daniel Medina United States	51	3.9k 0.8×	4.3k 1.7×	1.7k 0.9×	1.3k 0.8×	559 0.5×	184	7.7k

Countries citing papers authored by Steffi Oesterreich

Since Specialization

Citations

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

Fields of papers citing papers by Steffi Oesterreich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steffi Oesterreich. 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 Steffi Oesterreich. The network helps show where Steffi Oesterreich may publish in the future.

Co-authorship network of co-authors of Steffi Oesterreich

This figure shows the co-authorship network connecting the top 25 collaborators of Steffi Oesterreich. A scholar is included among the top collaborators of Steffi Oesterreich 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 Steffi Oesterreich. Steffi Oesterreich 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

Cosgrove, Nicola, Damir Varešlija, Stephen Keelan, et al.. (2022). Mapping molecular subtype specific alterations in breast cancer brain metastases identifies clinically relevant vulnerabilities. Nature Communications. 13(1). 514–514. 53 indexed citations

Oesterreich, Steffi, Azadeh Nasrazadani, Jian Zou, et al.. (2022). Clinicopathological Features and Outcomes Comparing Patients With Invasive Ductal and Lobular Breast Cancer. JNCI Journal of the National Cancer Institute. 114(11). 1511–1522. 31 indexed citations

Li, Zheqi, Nicole S. Spoelstra, Matthew J. Sikora, et al.. (2022). Mutual exclusivity of ESR1 and TP53 mutations in endocrine resistant metastatic breast cancer. npj Breast Cancer. 8(1). 62–62. 17 indexed citations

Nunes, Raquel, Tal Sella, Kai Treuner, et al.. (2021). Prognostic Utility of Breast Cancer Index to Stratify Distant Recurrence Risk in Invasive Lobular Carcinoma. Clinical Cancer Research. 27(20). 5688–5696. 13 indexed citations

Chen, Fangyuan, Kai Ding, Nolan Priedigkeit, et al.. (2020). Single-Cell Transcriptomic Heterogeneity in Invasive Ductal and Lobular Breast Cancer Cells. Cancer Research. 81(2). 268–281. 28 indexed citations

Zhu, Li, Jennifer M. Atkinson, Sushil Beriwal, et al.. (2020). Patient treatment and outcome after breast cancer orbital and periorbital metastases: a comprehensive case series including analysis of lobular versus ductal tumor histology. Breast Cancer Research. 22(1). 70–70. 14 indexed citations

Park, Sunghee, Rachid Safi, Sandeep Artham, et al.. (2020). The Dysregulated Pharmacology of Clinically Relevant ESR1 Mutants is Normalized by Ligand-activated WT Receptor. Molecular Cancer Therapeutics. 19(7). 1395–1405. 27 indexed citations

Sokol, Ethan, Dexter X. Jin, Ahmed Basudan, et al.. (2018). Loss of function of NF1 is a mechanism of acquired resistance to endocrine therapy in lobular breast cancer. Annals of Oncology. 30(1). 115–123. 58 indexed citations

Tasdemir, Nilgun, Zheqi Li, Li Zhu, et al.. (2018). Comprehensive Phenotypic Characterization of Human Invasive Lobular Carcinoma Cell Lines in 2D and 3D Cultures. Cancer Research. 78(21). 6209–6222. 44 indexed citations

10.

Zhao, Yuechao, Mary J. Laws, Valeria Sanabria Guillen, et al.. (2017). Structurally Novel Antiestrogens Elicit Differential Responses from Constitutively Active Mutant Estrogen Receptors in Breast Cancer Cells and Tumors. Cancer Research. 77(20). 5602–5613. 44 indexed citations

11.

Ekambaram, Prasanna, Dong Hu, Saigopalakrishna S. Yerneni, et al.. (2017). The CARMA3–Bcl10–MALT1 Signalosome Drives NFκB Activation and Promotes Aggressiveness in Angiotensin II Receptor–Positive Breast Cancer. Cancer Research. 78(5). 1225–1240. 67 indexed citations

12.

Andersen, Courtney L., Matthew J. Sikora, M.M. Boisen, et al.. (2017). Active Estrogen Receptor-alpha Signaling in Ovarian Cancer Models and Clinical Specimens. Clinical Cancer Research. 23(14). 3802–3812. 38 indexed citations

13.

Gyanchandani, Rekha, Yan Lin, Hui‐Min Lin, et al.. (2016). Intratumor Heterogeneity Affects Gene Expression Profile Test Prognostic Risk Stratification in Early Breast Cancer. Clinical Cancer Research. 22(21). 5362–5369. 53 indexed citations

14.

Dennison, Jennifer B., Maria Shahmoradgoli, Wenbin Liu, et al.. (2016). High Intratumoral Stromal Content Defines Reactive Breast Cancer as a Low-risk Breast Cancer Subtype. Clinical Cancer Research. 22(20). 5068–5078. 26 indexed citations

15.

Oesterreich, Steffi, et al.. (2015). MCF-7 Cells--Changing the Course of Breast Cancer Research and Care for 45 Years. JNCI Journal of the National Cancer Institute. 107(7). djv073–djv073. 231 indexed citations

16.

Santa‐Maria, Cesar A., Amanda L. Blackford, Anne Nguyen, et al.. (2015). Association of Variants in Candidate Genes with Lipid Profiles in Women with Early Breast Cancer on Adjuvant Aromatase Inhibitor Therapy. Clinical Cancer Research. 22(6). 1395–1402. 18 indexed citations

17.

Katz, Tiffany A., Serena G. Liao, Robert K. Dearth, et al.. (2015). Targeted DNA Methylation Screen in the Mouse Mammary Genome Reveals a Parity-Induced Hypermethylation of Igf1r That Persists Long after Parturition. Cancer Prevention Research. 8(10). 1000–1009. 18 indexed citations

18.

Sikora, Matthew J., Kristine Cooper, Amir Bahreini, et al.. (2014). Invasive Lobular Carcinoma Cell Lines Are Characterized by Unique Estrogen-Mediated Gene Expression Patterns and Altered Tamoxifen Response. Cancer Research. 74(5). 1463–1474. 87 indexed citations

19.

Pathiraja, Thushangi N., Priya B. Shetty, Jaroslav Jelı́nek, et al.. (2011). Progesterone Receptor Isoform-Specific Promoter Methylation: Association of PRA Promoter Methylation with Worse Outcome in Breast Cancer Patients. Clinical Cancer Research. 17(12). 4177–4186. 42 indexed citations

20.

Dearth, Robert K., David A. Delgado, Jill K. Hiney, et al.. (2010). Parity-Induced Decrease in Systemic Growth Hormone Alters Mammary Gland Signaling: A Potential Role in Pregnancy Protection from Breast Cancer. Cancer Prevention Research. 3(3). 312–321. 15 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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