Todd W. Miller

5.5k total citations
79 papers, 4.1k citations indexed

About

Todd W. Miller is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Todd W. Miller has authored 79 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 41 papers in Oncology and 20 papers in Genetics. Recurrent topics in Todd W. Miller's work include PI3K/AKT/mTOR signaling in cancer (24 papers), HER2/EGFR in Cancer Research (14 papers) and Estrogen and related hormone effects (14 papers). Todd W. Miller is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (24 papers), HER2/EGFR in Cancer Research (14 papers) and Estrogen and related hormone effects (14 papers). Todd W. Miller collaborates with scholars based in United States, Switzerland and United Kingdom. Todd W. Miller's co-authors include Carlos L. Arteaga, Justin M. Balko, Gordon B. Mills, Ana M. González-Angulo, Lloye M. Dillon, Emily M. Fox, Brent N. Rexer, Joan T. Garrett, Eugene Demidenko and Yu Shyr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Todd W. Miller

78 papers receiving 4.1k citations

Peers

Todd W. Miller
Pedram Argani United States
Elgene Lim Australia
Dvorit Samid United States
Andrew H. Sims United Kingdom
Todd W. Miller
Citations per year, relative to Todd W. Miller Todd W. Miller (= 1×) peers Stefano Pepe

Countries citing papers authored by Todd W. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Todd W. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd W. Miller. 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 Todd W. Miller. The network helps show where Todd W. Miller may publish in the future.

Co-authorship network of co-authors of Todd W. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Todd W. Miller. A scholar is included among the top collaborators of Todd W. Miller 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 Todd W. Miller. Todd W. Miller 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.
Marotti, Jonathan D., Youdinghuan Chen, Roberto Salgado, et al.. (2025). Quantitative proteomics analysis of triple-negative breast cancers. npj Precision Oncology. 9(1). 117–117. 1 indexed citations
2.
Traphagen, Nicole A., Gary N. Schwartz, Jonathan D. Marotti, et al.. (2023). Estrogen Therapy Induces Receptor-Dependent DNA Damage Enhanced by PARP Inhibition in ER+ Breast Cancer. Clinical Cancer Research. 29(18). 3717–3728. 8 indexed citations
3.
Schwartz, Gary N., Peter A. Kaufman, Karthik V. Giridhar, et al.. (2023). Alternating 17β-Estradiol and Aromatase Inhibitor Therapies Is Efficacious in Postmenopausal Women with Advanced Endocrine-Resistant ER+ Breast Cancer. Clinical Cancer Research. 29(15). 2767–2773. 3 indexed citations
4.
Traphagen, Nicole A., Jennifer Fields, Kevin Shee, et al.. (2020). AMPK Activation by Metformin Promotes Survival of Dormant ER+ Breast Cancer Cells. Clinical Cancer Research. 26(14). 3707–3719. 64 indexed citations
5.
Shee, Kevin, Matthew Ung, Nicole A. Traphagen, et al.. (2019). A Transcriptionally Definable Subgroup of Triple-Negative Breast and Ovarian Cancer Samples Shows Sensitivity to HSP90 Inhibition. Clinical Cancer Research. 26(1). 159–170. 1 indexed citations
6.
Demidenko, Eugene & Todd W. Miller. (2019). Statistical determination of synergy based on Bliss definition of drugs independence. PLoS ONE. 14(11). e0224137–e0224137. 95 indexed citations
7.
Shee, Kevin, Kristen E. Muller, Jonathan D. Marotti, et al.. (2018). Ductal Carcinoma in Situ Biomarkers in a Precision Medicine Era. American Journal Of Pathology. 189(5). 956–965. 12 indexed citations
8.
Dillon, Lloye M., Stephanie J. Bouley, Rachele Rosati, et al.. (2016). Combined Inhibition of Both p110α and p110β Isoforms of Phosphatidylinositol 3-Kinase Is Required for Sustained Therapeutic Effect in PTEN-Deficient, ER+ Breast Cancer. Clinical Cancer Research. 23(11). 2795–2805. 24 indexed citations
9.
Yang, Wei, Lloye M. Dillon, Kevin Shee, et al.. (2016). Strategically Timing Inhibition of Phosphatidylinositol 3-Kinase to Maximize Therapeutic Index in Estrogen Receptor Alpha–Positive, PIK3CA -Mutant Breast Cancer. Clinical Cancer Research. 22(9). 2250–2260. 27 indexed citations
10.
Muller, Kristen E., Jonathan D. Marotti, Francine B. de Abreu, et al.. (2016). Targeted next-generation sequencing detects a high frequency of potentially actionable mutations in metastatic breast cancers. Experimental and Molecular Pathology. 100(3). 421–425. 27 indexed citations
11.
Balko, Justin M., Luis J. Schwarz, Neil E. Bhola, et al.. (2013). Activation of MAPK Pathways due to DUSP4 Loss Promotes Cancer Stem Cell-like Phenotypes in Basal-like Breast Cancer. Cancer Research. 73(20). 6346–6358. 122 indexed citations
12.
Sangai, Takafumi, Argun Akçakanat, Huiqin Chen, et al.. (2012). Biomarkers of Response to Akt Inhibitor MK-2206 in Breast Cancer. Clinical Cancer Research. 18(20). 5816–5828. 124 indexed citations
13.
Miller, Todd W., Justin M. Balko, Zara Ghazoui, et al.. (2011). A Gene Expression Signature from Human Breast Cancer Cells with Acquired Hormone Independence Identifies MYC as a Mediator of Antiestrogen Resistance. Clinical Cancer Research. 17(7). 2024–2034. 85 indexed citations
14.
Fox, Emily M., Todd W. Miller, Justin M. Balko, et al.. (2011). A Kinome-Wide Screen Identifies the Insulin/IGF-I Receptor Pathway as a Mechanism of Escape from Hormone Dependence in Breast Cancer. Cancer Research. 71(21). 6773–6784. 131 indexed citations
15.
Yang, Xuemei, Alexa B. Turke, Jie Qi, et al.. (2011). Using Tandem Mass Spectrometry in Targeted Mode to Identify Activators of Class IA PI3K in Cancer. Cancer Research. 71(18). 5965–5975. 9 indexed citations
16.
Miller, Todd W., Justin M. Balko, Emily M. Fox, et al.. (2011). ERα-Dependent E2F Transcription Can Mediate Resistance to Estrogen Deprivation in Human Breast Cancer. Cancer Discovery. 1(4). 338–351. 241 indexed citations
17.
Miller, Todd W., Brent N. Rexer, Joan T. Garrett, & Carlos L. Arteaga. (2011). Mutations in the phosphatidylinositol 3-kinase pathway: role in tumor progression and therapeutic implications in breast cancer. Breast Cancer Research. 13(6). 224–224. 359 indexed citations
18.
Miller, Todd W., James T. Forbes, Chirayu Shah, et al.. (2009). Inhibition of Mammalian Target of Rapamycin Is Required for Optimal Antitumor Effect of HER2 Inhibitors against HER2-Overexpressing Cancer Cells. Clinical Cancer Research. 15(23). 7266–7276. 99 indexed citations
19.
Miller, Todd W., Marianela Pérez-Torres, Archana Narasanna, et al.. (2009). Loss of Phosphatase and Tensin Homologue Deleted on Chromosome 10 Engages ErbB3 and Insulin-Like Growth Factor-I Receptor Signaling to Promote Antiestrogen Resistance in Breast Cancer. Cancer Research. 69(10). 4192–4201. 141 indexed citations
20.
Shin, Incheol, Todd W. Miller, & Carlos L. Arteaga. (2006). ErbB Receptor Signaling and Therapeutic Resistance to Aromatase Inhibitors. Clinical Cancer Research. 12(3). 1008s–1012s. 33 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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