Mia Levy

5.6k total citations
102 papers, 2.1k citations indexed

About

Mia Levy is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mia Levy has authored 102 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 30 papers in Cancer Research and 29 papers in Oncology. Recurrent topics in Mia Levy's work include Cancer Genomics and Diagnostics (24 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and BRCA gene mutations in cancer (11 papers). Mia Levy is often cited by papers focused on Cancer Genomics and Diagnostics (24 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and BRCA gene mutations in cancer (11 papers). Mia Levy collaborates with scholars based in United States, United Kingdom and Italy. Mia Levy's co-authors include Joshua C. Denny, Thomas A. Lasko, Jeremy L. Warner, Christine M. Lovly, Daniel L. Rubin, Joshua Brody, Youn H. Kim, Irene Wapnir, Richard T. Hoppe and Robert Tibshirani and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Mia Levy

98 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mia Levy United States	22	630	630	416	377	345	102	2.1k
Kenneth Jung United States	19	879 1.4×	372 0.6×	236 0.6×	384 1.0×	409 1.2×	27	2.5k
Jeremy L. Warner United States	27	725 1.2×	731 1.2×	336 0.8×	105 0.3×	537 1.6×	166	2.7k
Subha Madhavan United States	30	1.5k 2.3×	1.1k 1.7×	1.2k 2.9×	211 0.6×	160 0.5×	113	3.2k
Clare Verrill United Kingdom	27	761 1.2×	722 1.1×	306 0.7×	184 0.5×	817 2.4×	102	2.7k
Gunnar O. Klein Sweden	21	556 0.9×	674 1.1×	197 0.5×	580 1.5×	124 0.4×	74	2.0k
Sean Khozin United States	27	959 1.5×	1.6k 2.6×	589 1.4×	233 0.6×	160 0.5×	69	3.6k
D.M. Jukic United States	26	694 1.1×	967 1.5×	243 0.6×	367 1.0×	784 2.3×	107	2.7k
Eoin McKinney United Kingdom	24	615 1.0×	354 0.6×	128 0.3×	1.1k 3.0×	138 0.4×	40	2.6k
Vincent Ferretti Canada	21	1.5k 2.4×	397 0.6×	569 1.4×	262 0.7×	231 0.7×	42	2.8k
Michael J. Becich United States	34	2.1k 3.3×	601 1.0×	835 2.0×	145 0.4×	427 1.2×	103	4.1k

Countries citing papers authored by Mia Levy

Since Specialization

Citations

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

Fields of papers citing papers by Mia Levy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia Levy

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

Madison, Russell W., Alexa B. Schrock, Ethan Sokol, et al.. (2025). Genomic landscape and homologous recombination repair deficiency signature in stage I-III and de novo stage IV primary breast cancers. The Oncologist. 30(5). 1 indexed citations

Bhave, Manali, Júlia C.F. Quintanilha, Ryon P. Graf, et al.. (2024). Abstract PO2-16-05: ESR1 mutations (ESR1mut) in HR(+)HER2(-)patients with metastatic breast cancer (MBC): prevalence along treatment course and predictive value for endocrine therapy (ET) resistance in real-world practice. Cancer Research. 84(9_Supplement). PO2–16.

Bhave, Manali, Júlia C.F. Quintanilha, Hanna Tukachinsky, et al.. (2024). Comprehensive genomic profiling of ESR1, PIK3CA, AKT1, and PTEN in HR(+)HER2(−) metastatic breast cancer: prevalence along treatment course and predictive value for endocrine therapy resistance in real-world practice. Breast Cancer Research and Treatment. 207(3). 599–609. 11 indexed citations

Graf, Ryon P., Virginia Fisher, Richard S.P. Huang, et al.. (2022). Tumor Mutational Burden as a Predictor of First-Line Immune Checkpoint Inhibitor Versus Carboplatin Benefit in Cisplatin-Unfit Patients With Urothelial Carcinoma. JCO Precision Oncology. 6(6). e2200121–e2200121. 14 indexed citations

Holt, Marilyn, Kathleen F. Mittendorf, Michele L. Lenoue-Newton, et al.. (2021). My Cancer Genome: Coevolution of Precision Oncology and a Molecular Oncology Knowledgebase. JCO Clinical Cancer Informatics. 5(5). 995–1004. 19 indexed citations

Holt, Marilyn, et al.. (2021). Landscape Analysis of Breast Cancer and Acute Myeloid Leukemia Trials Using the My Cancer Genome Clinical Trial Data Model. JCO Clinical Cancer Informatics. 5(5). 975–984. 2 indexed citations

Newman, Lisa A., Laura Fejerman, Tuya Pal, et al.. (2021). Breast Cancer Disparities Through the Lens of the COVID-19 Pandemic. Current Breast Cancer Reports. 13(3). 110–112. 11 indexed citations

Steitz, Bryan D. & Mia Levy. (2019). Evaluating the Scope of Clinical Electronic Messaging to Coordinate Care in a Breast Cancer Cohort. Studies in health technology and informatics. 264. 808–812. 7 indexed citations

Zebrowski, Alexis, Frances K. Barg, Nina Sperber, et al.. (2018). Qualitative study of system-level factors related to genomic implementation. Genetics in Medicine. 21(7). 1534–1540. 32 indexed citations

10.

Micheel, Christine, Shawn M. Sweeney, Michele L. Lenoue-Newton, et al.. (2018). American Association for Cancer Research Project Genomics Evidence Neoplasia Information Exchange: From Inception to First Data Release and Beyond—Lessons Learned and Member Institutions’ Perspectives. JCO Clinical Cancer Informatics. 2(2). 1–14. 25 indexed citations

11.

Orlando, Lori A., Nina Sperber, Corrine I. Voils, et al.. (2017). Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network’s Common Measures Working Group. Genetics in Medicine. 20(6). 655–663. 49 indexed citations

12.

Micheel, Christine, Ingrid Anderson, Patricia Lee, et al.. (2017). Internet-Based Assessment of Oncology Health Care Professional Learning Style and Optimization of Materials for Web-Based Learning: Controlled Trial With Concealed Allocation. Journal of Medical Internet Research. 19(7). e265–e265. 11 indexed citations

13.

Giuse, Nunzia Bettinsoli, Sheila V. Kusnoor, Taneya Y. Koonce, et al.. (2016). Guiding Oncology Patients Through the Maze of Precision Medicine. Journal of Health Communication. 21(sup1). 5–17. 26 indexed citations

14.

Finlayson, Samuel G., Mia Levy, Sunil Reddy, & Daniel L. Rubin. (2016). Toward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical data. Journal of Biomedical Informatics. 60. 104–113. 15 indexed citations

15.

Lasko, Thomas A., Joshua C. Denny, & Mia Levy. (2013). Correction: Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data. PLoS ONE. 8(8). 21 indexed citations

16.

Mani, Subramani, Yukun Chen, Xia Li, et al.. (2013). Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. Journal of the American Medical Informatics Association. 20(4). 688–695. 40 indexed citations

17.

Sztipanovits, János, et al.. (2012). Cancer treatment planning: formal methods to the rescue. 19–25. 4 indexed citations

18.

Xu, Hua, Melinda C. Aldrich, Qingxia Chen, et al.. (2012). Electronic health record data suggests metformin improves cancer survival: A new model for drug repurposing studies.. AMIA. 1 indexed citations

19.

Levy, Mia, Christine M. Lovly, & William Pao. (2012). Translating genomic information into clinical medicine: Lung cancer as a paradigm. Genome Research. 22(11). 2101–2108. 67 indexed citations

20.

Brody, Joshua, Weiyun Z. Ai, Debra K. Czerwinski, et al.. (2010). In Situ Vaccination With a TLR9 Agonist Induces Systemic Lymphoma Regression: A Phase I/II Study. Journal of Clinical Oncology. 28(28). 4324–4332. 398 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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