Katherine A. Hoadley

165.8k total citations · 4 hit papers
140 papers, 8.1k citations indexed

About

Katherine A. Hoadley is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Katherine A. Hoadley has authored 140 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cancer Research, 63 papers in Molecular Biology and 53 papers in Oncology. Recurrent topics in Katherine A. Hoadley's work include Cancer Genomics and Diagnostics (47 papers), Breast Cancer Treatment Studies (25 papers) and HER2/EGFR in Cancer Research (17 papers). Katherine A. Hoadley is often cited by papers focused on Cancer Genomics and Diagnostics (47 papers), Breast Cancer Treatment Studies (25 papers) and HER2/EGFR in Cancer Research (17 papers). Katherine A. Hoadley collaborates with scholars based in United States, Canada and Spain. Katherine A. Hoadley's co-authors include Charles M. Perou, Joel S. Parker, Huihui Fan, Melissa A. Troester, Jen Jen Yeh, Lisa A. Carey, Eric F. Lock, Xiaping He, J. S. Marron and Andrew B. Nobel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Katherine A. Hoadley

127 papers receiving 8.0k citations

Hit Papers

Virtual microdissection identifies distinct tumor- and st... 2014 2026 2018 2022 2015 2014 2016 2016 400 800 1.2k

Peers

Katherine A. Hoadley
Heike I. Grabsch United Kingdom
Robert L. Camp United States
Gyungyub Gong South Korea
Craig H. Mermel United States
Katherine A. Hoadley
Citations per year, relative to Katherine A. Hoadley Katherine A. Hoadley (= 1×) peers Julien Caldéraro

Countries citing papers authored by Katherine A. Hoadley

Since Specialization
Citations

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

Fields of papers citing papers by Katherine A. Hoadley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine A. Hoadley. 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 Katherine A. Hoadley. The network helps show where Katherine A. Hoadley may publish in the future.

Co-authorship network of co-authors of Katherine A. Hoadley

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

All Works

20 of 20 papers shown
1.
Fernández-Martínez, Aranzazu, Cheng Fan, Adam D. Pfefferle, et al.. (2025). Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasets. npj Breast Cancer. 11(1). 24–24.
2.
Mukherjee, Angana, Aaron Ebbs, Daniel P. Hollern, et al.. (2024). DAB2IP loss in luminal a breast cancer leads to NF-κB–associated aggressive oncogenic phenotypes. JCI Insight. 9(23). 1 indexed citations
3.
Walens, Andrea, et al.. (2024). Diffsig: Associating Risk Factors with Mutational Signatures. Cancer Epidemiology Biomarkers & Prevention. 33(5). 721–730.
4.
McClure, Marni B., Yasunori Kogure, Naser Ansari‐Pour, et al.. (2023). Landscape of Genetic Alterations Underlying Hallmark Signature Changes in Cancer RevealsTP53Aneuploidy–driven Metabolic Reprogramming. Cancer Research Communications. 3(2). 281–296. 11 indexed citations
5.
Shi, Yifeng, Katherine A. Hoadley, Benjamin C. Calhoun, et al.. (2023). Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study. npj Breast Cancer. 9(1). 92–92. 9 indexed citations
6.
Tovey, Holly, Joel S. Parker, Katherine A. Hoadley, et al.. (2023). Integrated Multimodal Analyses of DNA Damage Response and Immune Markers as Predictors of Response in Metastatic Triple-Negative Breast Cancer in the TNT Trial (NCT00532727). Clinical Cancer Research. 29(18). 3691–3705. 3 indexed citations
7.
Walens, Andrea, Xiaohua Gao, Alina M. Hamilton, et al.. (2022). RNA-Based Classification of Homologous Recombination Deficiency in Racially Diverse Patients with Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 31(12). 2136–2147. 9 indexed citations
8.
Damrauer, Jeffrey S., Jeffrey A. Klomp, Mi Zhou, et al.. (2022). Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer. Nature Communications. 13(1). 6658–6658. 27 indexed citations
9.
Hamilton, Alina M., Xiaohua Gao, Benjamin C. Calhoun, et al.. (2022). Incorporating RNA-based Risk Scores for Genomic Instability to Predict Breast Cancer Recurrence and Immunogenicity in a Diverse Population. Cancer Research Communications. 3(1). 12–20. 4 indexed citations
10.
Hurson, Amber N., Mustapha Abubakar, Alina M. Hamilton, et al.. (2022). Prognostic significance of RNA-based TP53 pathway function among estrogen receptor positive and negative breast cancer cases. npj Breast Cancer. 8(1). 74–74. 3 indexed citations
11.
Damrauer, Jeffrey S., Vonn Walter, Aatish Thennavan, et al.. (2021). Genomic characterization of rare molecular subclasses of hepatocellular carcinoma. Communications Biology. 4(1). 1150–1150. 5 indexed citations
12.
Jo, Heejoon, Xiaobei Zhao, Katherine A. Hoadley, et al.. (2021). SCISSOR: a framework for identifying structural changes in RNA transcripts. Nature Communications. 12(1). 286–286. 6 indexed citations
13.
Thennavan, Aatish, Francisco Beça, Susana García‐Recio, et al.. (2021). Molecular analysis of TCGA breast cancer histologic types. Cell Genomics. 1(3). 100067–100067. 62 indexed citations
14.
Bhattacharya, Arjun, Alina M. Hamilton, Helena Furberg, et al.. (2020). An approach for normalization and quality control for NanoString RNA expression data. Briefings in Bioinformatics. 22(3). 70 indexed citations
15.
Wang, Xianxi, Rochelle L. Tiedemann, Thomas Bonacci, et al.. (2020). In silico APC/C substrate discovery reveals cell cycle-dependent degradation of UHRF1 and other chromatin regulators. PLoS Biology. 18(12). e3000975–e3000975. 9 indexed citations
16.
Hoadley, Katherine A., Dereje D. Jima, Michael S. Bereman, et al.. (2016). Nuclear Localized LSR: A Novel Regulator of Breast Cancer Behavior and Tumorigenesis. Molecular Cancer Research. 15(2). 165–178. 21 indexed citations
17.
Iglesia, Michael D., Benjamin G. Vincent, Joel S. Parker, et al.. (2014). Prognostic B-cell Signatures Using mRNA-Seq in Patients with Subtype-Specific Breast and Ovarian Cancer. Clinical Cancer Research. 20(14). 3818–3829. 194 indexed citations
18.
Brauer, Heather Ann, Liza Makowski, Katherine A. Hoadley, et al.. (2012). Impact of Tumor Microenvironment and Epithelial Phenotypes on Metabolism in Breast Cancer. Clinical Cancer Research. 19(3). 571–585. 78 indexed citations
19.
Wilkerson, Matthew D., Xiaoying Yin, Katherine A. Hoadley, et al.. (2010). Lung Squamous Cell Carcinoma mRNA Expression Subtypes Are Reproducible, Clinically Important, and Correspond to Normal Cell Types. Clinical Cancer Research. 16(19). 4864–4875. 194 indexed citations
20.
Troester, Melissa A., Katherine A. Hoadley, Thérese Sørlie, et al.. (2004). Cell-Type-Specific Responses to Chemotherapeutics in Breast Cancer. Cancer Research. 64(12). 4218–4226. 143 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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