Bradley M. Downs

821 total citations · 1 hit paper
24 papers, 463 citations indexed

About

Bradley M. Downs is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Bradley M. Downs has authored 24 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Bradley M. Downs's work include Cancer Genomics and Diagnostics (10 papers), BRCA gene mutations in cancer (7 papers) and DNA Repair Mechanisms (6 papers). Bradley M. Downs is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), BRCA gene mutations in cancer (7 papers) and DNA Repair Mechanisms (6 papers). Bradley M. Downs collaborates with scholars based in United States, China and Hungary. Bradley M. Downs's co-authors include Saraswati Sukumar, Isac Lee, Rebecca Bowen, Winston Timp, Timothy Gilpatrick, Andrew Heron, James E. Graham, Etienne Raimondeau, Fritz J. Sedlazeck and San Ming Wang and has published in prestigious journals such as Nature Biotechnology, Cancer Research and Langmuir.

In The Last Decade

Bradley M. Downs

20 papers receiving 455 citations

Hit Papers

Targeted nanopore sequencing with Cas9-guided adapter lig... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bradley M. Downs United States 9 368 119 95 46 43 24 463
Xian Fan United States 10 302 0.8× 160 1.3× 114 1.2× 73 1.6× 42 1.0× 17 440
Eleonora de Klerk Netherlands 10 557 1.5× 91 0.8× 106 1.1× 35 0.8× 23 0.5× 13 707
Belinda Mei Tze Ling Singapore 8 317 0.9× 58 0.5× 61 0.6× 15 0.3× 43 1.0× 8 431
Tao Hong China 13 388 1.1× 46 0.4× 111 1.2× 26 0.6× 33 0.8× 23 472
Samantha Maragh United States 13 513 1.4× 106 0.9× 108 1.1× 37 0.8× 45 1.0× 19 586
Chang Xu China 11 244 0.7× 96 0.8× 90 0.9× 24 0.5× 74 1.7× 40 408
Qian Du Australia 9 593 1.6× 123 1.0× 114 1.2× 43 0.9× 44 1.0× 16 704
Hai‐Qiang Dai United States 8 630 1.7× 89 0.7× 41 0.4× 56 1.2× 41 1.0× 12 737
Emily M. Smith United States 9 366 1.0× 79 0.7× 49 0.5× 67 1.5× 28 0.7× 11 474
Bum‐Kyu Lee United States 14 371 1.0× 40 0.3× 48 0.5× 58 1.3× 19 0.4× 28 521

Countries citing papers authored by Bradley M. Downs

Since Specialization
Citations

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

Fields of papers citing papers by Bradley M. Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley M. Downs. 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 Bradley M. Downs. The network helps show where Bradley M. Downs may publish in the future.

Co-authorship network of co-authors of Bradley M. Downs

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley M. Downs. A scholar is included among the top collaborators of Bradley M. Downs 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 Bradley M. Downs. Bradley M. Downs 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.
2.
Debeljak, Marija, Soonweng Cho, Bradley M. Downs, et al.. (2024). Multimodal genome-wide survey of progressing and non-progressing breast ductal carcinoma in-situ. Breast Cancer Research. 26(1). 178–178.
3.
Hu, Jiumei, Joon Soo Park, Pengfei Zhang, et al.. (2024). Highly Sensitive, Multiplexed, and Accessible Digital Protein Measurement with MagDroplex. 1–4.
4.
Downs, Bradley M., et al.. (2023). Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use. Epigenetics. 18(1). 2213874–2213874. 1 indexed citations
5.
Downs, Bradley M., et al.. (2023). Increasing the Capture Rate of Circulating Tumor DNA in Unaltered Plasma Using Passive Microfluidic Mixer Flow Cells. Langmuir. 39(9). 3225–3234. 1 indexed citations
6.
Fu, Xiaoyu, et al.. (2023). The biological function of tumor-derived extracellular vesicles on metabolism. Cell Communication and Signaling. 21(1). 150–150. 20 indexed citations
7.
Pai, Priya, Guannan Wang, Wei Wen Teo, et al.. (2022). HOXA5-Mediated Stabilization of IκBα Inhibits the NF-κB Pathway and Suppresses Malignant Transformation of Breast Epithelial Cells. Cancer Research. 82(20). 3802–3814. 7 indexed citations
8.
Downs, Bradley M. & Saraswati Sukumar. (2022). Capturing ctDNA from Unaltered Stationary and Flowing Plasma with dCas9. ACS Applied Materials & Interfaces. 14(21). 24113–24121. 8 indexed citations
9.
Downs, Bradley M., Leslie Cope, Mary Jo Fackler, et al.. (2021). Automated and rapid detection of cancer in suspicious axillary lymph nodes in patients with breast cancer. npj Breast Cancer. 7(1). 89–89. 7 indexed citations
10.
Downs, Bradley M., Leslie Cope, Christopher B. Umbricht, et al.. (2021). Methylated markers accurately distinguish primary central nervous system lymphomas (PCNSL) from other CNS tumors. Clinical Epigenetics. 13(1). 104–104. 12 indexed citations
12.
Gilpatrick, Timothy, Isac Lee, James E. Graham, et al.. (2020). Targeted nanopore sequencing with Cas9-guided adapter ligation. Nature Biotechnology. 38(4). 433–438. 266 indexed citations breakdown →
13.
Downs, Bradley M., Mary Jo Fackler, Ashley Cimino‐Mathews, et al.. (2018). Abstract LB-220: An automated breast cancer detection assay for screening in the developing world. Cancer Research. 78(13_Supplement). LB–220. 1 indexed citations
14.
Downs, Bradley M., Simon Sherman, Jian Cui, et al.. (2018). Common genetic variants contribute to incomplete penetrance: evidence from cancer-free BRCA1 mutation carriers. European Journal of Cancer. 107. 68–78. 8 indexed citations
15.
Kim, Yeong C., Jian Cui, Jiangtao Luo, et al.. (2016). Exome-based Variant Detection in Core Promoters. Scientific Reports. 6(1). 30716–30716. 4 indexed citations
16.
Cui, Jian, Jiangtao Luo, Yeong C. Kim, et al.. (2016). Differences of Variable Number Tandem Repeats in XRCC5 Promoter Are Associated with Increased or Decreased Risk of Breast Cancer in BRCA Gene Mutation Carriers. Frontiers in Oncology. 6. 92–92. 10 indexed citations
17.
Rovira‐Clavé, Xavier, Bradley M. Downs, Yeong C. Kim, et al.. (2015). Erk5 contributes to maintaining the balance of cellular nucleotide levels and erythropoiesis. Cell Cycle. 14(24). 3864–3876. 5 indexed citations
18.
Downs, Bradley M. & San Ming Wang. (2015). Epigenetic changes in BRCA1-mutated familial breast cancer. Cancer Genetics. 208(5). 237–240. 16 indexed citations
19.
Downs, Bradley M., Yeong C. Kim, Fengxia Xiao, et al.. (2015). Two PALB2 germline mutations found in both BRCA1+ and BRCAx familial breast cancer. Breast Cancer Research and Treatment. 151(1). 219–224. 1 indexed citations
20.
Xiao, Fengxia, Yeong C. Kim, Carrie Snyder, et al.. (2014). Genome instability in blood cells of a BRCA1 + breast cancer family. BMC Cancer. 14(1). 342–342. 7 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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