Myles Brown

84.4k total citations · 20 hit papers
286 papers, 50.4k citations indexed

About

Myles Brown is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Myles Brown has authored 286 papers receiving a total of 50.4k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Molecular Biology, 114 papers in Genetics and 75 papers in Oncology. Recurrent topics in Myles Brown's work include Estrogen and related hormone effects (86 papers), Genomics and Chromatin Dynamics (58 papers) and Prostate Cancer Treatment and Research (51 papers). Myles Brown is often cited by papers focused on Estrogen and related hormone effects (86 papers), Genomics and Chromatin Dynamics (58 papers) and Prostate Cancer Treatment and Research (51 papers). Myles Brown collaborates with scholars based in United States, China and Canada. Myles Brown's co-authors include X. Shirley Liu, Clifford A. Meyer, Jérôme Eeckhoute, Yong Zhang, Tao Liu, Wei Li, David S. Johnson, R Myers, B Bernstein and Chad Nusbaum and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Myles Brown

282 papers receiving 49.9k citations

Hit Papers

Model-based Analysis of ChIP-Seq (MACS) 1994 2026 2004 2015 2008 2018 2000 2014 2006 2.5k 5.0k 7.5k 10.0k
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.

  1. Model-based Analysis of ChIP-Seq (MACS)
    2008 11.4k citations Yong Zhang, Tao Liu et al. Genome biology profile →
  2. Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
    2018 3.2k citations Peng Jiang, Shengqing Gu et al. profile →
  3. Cofactor Dynamics and Sufficiency in Estrogen Receptor–Regulated Transcription
    2000 1.4k citations Myles Brown et al. profile →
  4. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens
    2014 1.4k citations Myles Brown, X. Shirley Liu et al. Genome biology profile →
  5. Genome-wide analysis of estrogen receptor binding sites
    2006 1.1k citations Jason S. Carroll, Clifford A. Meyer et al. profile →
  6. Chromosome-Wide Mapping of Estrogen Receptor Binding Reveals Long-Range Regulation Requiring the Forkhead Protein FoxA1
    2005 1.1k citations Jason S. Carroll, X. Shirley Liu et al. profile →
  7. Molecular Determinants for the Tissue Specificity of SERMs
    2002 905 citations Myles Brown et al. profile →
  8. FoxA1 Translates Epigenetic Signatures into Enhancer-Driven Lineage-Specific Transcription
    2008 736 citations Mathieu Lupien, Jérôme Eeckhoute et al. profile →
  9. Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance
    2017 680 citations Henry W. Long, Myles Brown et al. profile →
  10. The CAG repeat within the androgen receptor gene and its relationship to prostate cancer
    1997 676 citations Myles Brown, Philip W. Kantoff et al. profile →
  11. X chromosomal abnormalities in basal-like human breast cancer
    2006 668 citations Myles Brown, Alexander Miron et al. profile →
  12. Differential Activation of Peroxisome Proliferator-activated Receptors by Eicosanoids
    1995 598 citations Myles Brown et al. profile →
  13. A major chromatin regulator determines resistance of tumor cells to T cell–mediated killing
    2018 567 citations Peng Jiang, Xintao Qiu et al. profile →
  14. Formation of the Androgen Receptor Transcription Complex
    2002 535 citations Myles Brown et al. Molecular Cell profile →
  15. Estrogen Receptor-Associated Proteins: Possible Mediators of Hormone-Induced Transcription
    1994 531 citations Myles Brown et al. profile →
  16. Cistrome Data Browser: expanded datasets and new tools for gene regulatory analysis
    2018 524 citations Rongbin Zheng, Changxin Wan et al. profile →
  17. A Hierarchical Network of Transcription Factors Governs Androgen Receptor-Dependent Prostate Cancer Growth
    2007 524 citations Qianben Wang, X. Shirley Liu et al. Molecular Cell profile →
  18. Cistrome: an integrative platform for transcriptional regulation studies
    2011 512 citations Tao Liu, Len Taing et al. Genome biology profile →
  19. ESR1 mutations—a mechanism for acquired endocrine resistance in breast cancer
    2015 454 citations Rinath Jeselsohn, Carmine De Angelis et al. profile →
  20. Sequence determinants of improved CRISPR sgRNA design
    2015 444 citations Clifford A. Meyer, Qiu Wu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Myles Brown United States 101 35.8k 12.2k 10.3k 10.2k 8.2k 286 50.4k
Olli Kallioniemi Finland 99 20.2k 0.6× 9.4k 0.8× 9.7k 0.9× 11.3k 1.1× 7.4k 0.9× 428 36.3k
Paul S. Meltzer United States 93 22.7k 0.6× 5.3k 0.4× 9.2k 0.9× 7.2k 0.7× 5.6k 0.7× 384 36.0k
X. Shirley Liu United States 64 30.8k 0.9× 4.5k 0.4× 8.9k 0.9× 9.2k 0.9× 9.0k 1.1× 133 42.7k
Stephen B. Baylin United States 131 60.4k 1.7× 8.8k 0.7× 16.0k 1.6× 13.8k 1.4× 6.5k 0.8× 444 77.0k
Hiroyuki Aburatani Japan 98 24.4k 0.7× 3.6k 0.3× 8.4k 0.8× 7.6k 0.7× 6.1k 0.7× 531 38.1k
Ronald A. DePinho United States 149 56.0k 1.6× 6.8k 0.6× 23.0k 2.2× 13.7k 1.4× 4.4k 0.5× 417 86.1k
Jerry W. Shay United States 118 35.3k 1.0× 5.2k 0.4× 8.9k 0.9× 4.9k 0.5× 3.5k 0.4× 522 58.0k
Frank McCormick United States 118 42.8k 1.2× 7.5k 0.6× 14.4k 1.4× 5.6k 0.6× 4.1k 0.5× 381 57.5k
William G. Kaelin United States 117 35.6k 1.0× 6.0k 0.5× 14.8k 1.4× 22.6k 2.2× 6.0k 0.7× 246 50.2k
Scott L. Pomeroy United States 49 27.9k 0.8× 3.4k 0.3× 6.7k 0.7× 9.8k 1.0× 6.3k 0.8× 117 44.5k

Countries citing papers authored by Myles Brown

Since Specialization
Citations

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

Fields of papers citing papers by Myles Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myles Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Myles Brown. A scholar is included among the top collaborators of Myles Brown 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 Myles Brown. Myles Brown 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.
Singh, Pratik, Wei Yong Gu, Shariq Madha, et al.. (2024). Transcription factor dynamics, oscillation, and functions in human enteroendocrine cell differentiation. Cell stem cell. 31(7). 1038–1057.e11. 6 indexed citations
2.
Qiu, Xintao, Avery Feit, Ariel Feiglin, et al.. (2021). CoBRA: Containerized Bioinformatics Workflow for Reproducible ChIP/ATAC-Seq Analysis. Genomics Proteomics & Bioinformatics. 19(4). 652–661. 16 indexed citations
3.
Tokheim, Collin, Xiaoqing Wang, Richard T. Timms, et al.. (2021). Systematic characterization of mutations altering protein degradation in human cancers. Molecular Cell. 81(6). 1292–1308.e11. 52 indexed citations
4.
Qin, Qian, Jing‐Yu Fan, Rongbin Zheng, et al.. (2020). Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data. Genome biology. 21(1). 168 indexed citations
5.
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
6.
Dhimolea, Eugen, Ricardo De Matos Simoes, Xiang Weng, et al.. (2020). Pleiotropic Mechanisms Drive Endocrine Resistance in the Three-Dimensional Bone Microenvironment. Cancer Research. 81(2). 371–383. 12 indexed citations
7.
Shi, Sailing, Shengqing Gu, Wubing Zhang, et al.. (2020). Inhibition of MAN2A1 Enhances the Immune Response to Anti–PD-L1 in Human Tumors. Clinical Cancer Research. 26(22). 5990–6002. 45 indexed citations
8.
Wu, Yanming, Zhao Zhang, Cecilia J. Proietti, et al.. (2017). Tamoxifen Resistance in Breast Cancer Is Regulated by the EZH2–ERα–GREB1 Transcriptional Axis. Cancer Research. 78(3). 671–684. 80 indexed citations
9.
Mei, Shenglin, Clifford A. Meyer, Rongbin Zheng, et al.. (2017). Cistrome Cancer: A Web Resource for Integrative Gene Regulation Modeling in Cancer. Cancer Research. 77(21). e19–e22. 106 indexed citations
10.
Malorni, Luca, Mario Giuliano, Ilenia Migliaccio, et al.. (2016). Blockade of AP-1 Potentiates Endocrine Therapy and Overcomes Resistance. Molecular Cancer Research. 14(5). 470–481. 31 indexed citations
11.
Botta, Ginevra, Shuai Gao, Tiantian Li, et al.. (2015). PLZF, a Tumor Suppressor Genetically Lost in Metastatic Castration-Resistant Prostate Cancer, Is a Mediator of Resistance to Androgen Deprivation Therapy. Cancer Research. 75(10). 1944–1948. 46 indexed citations
12.
Bailey, Shannon T., Penelope Miron, Yoon Jong Choi, et al.. (2013). NF-κB Activation-Induced Anti-apoptosis Renders HER2-Positive Cells Drug Resistant and Accelerates Tumor Growth. Molecular Cancer Research. 12(3). 408–420. 42 indexed citations
13.
Tang, Qianzi, Yiwen Chen, Clifford A. Meyer, et al.. (2011). A Comprehensive View of Nuclear Receptor Cancer Cistromes. Cancer Research. 71(22). 6940–6947. 109 indexed citations
14.
Zhang, Chunpeng, Liguo Wang, Dayong Wu, et al.. (2011). Definition of a FoxA1 Cistrome That Is Crucial for G1 to S-Phase Cell-Cycle Transit in Castration-Resistant Prostate Cancer. Cancer Research. 71(21). 6738–6748. 73 indexed citations
15.
Nucera, Carmelo, Jérôme Eeckhoute, Stephen P. Finn, et al.. (2009). FOXA1 Is a Potential Oncogene in Anaplastic Thyroid Carcinoma. Clinical Cancer Research. 15(11). 3680–3689. 67 indexed citations
16.
Hurtado, Antoni, Kelly A. Holmes, Timothy R. Geistlinger, et al.. (2008). Regulation of ERBB2 by oestrogen receptor–PAX2 determines response to tamoxifen. Nature. 456(7222). 663–666. 239 indexed citations
17.
Zhang, Yong, Tao Liu, Clifford A. Meyer, et al.. (2008). Model-based Analysis of ChIP-Seq (MACS). Genome biology. 9(9). R137–R137. 11435 indexed citations breakdown →
18.
Frietze, Seth, Mathieu Lupien, Pamela A. Silver, & Myles Brown. (2008). CARM1 Regulates Estrogen-Stimulated Breast Cancer Growth through Up-regulation of E2F1. Cancer Research. 68(1). 301–306. 164 indexed citations
19.
Eeckhoute, Jérôme, Erika Krasnickas Keeton, Mathieu Lupien, et al.. (2007). Positive Cross-Regulatory Loop Ties GATA-3 to Estrogen Receptor α Expression in Breast Cancer. Cancer Research. 67(13). 6477–6483. 274 indexed citations
20.
Wang, Qian‐Fei, Shyam Prabhakar, Qianben Wang, et al.. (2005). Primate-Specific Evolution of an LDLR Enhancer. University of North Texas Digital Library (University of North Texas). 3 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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