Bradley Patay

875 total citations · 1 hit paper
10 papers, 492 citations indexed

About

Bradley Patay is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Bradley Patay has authored 10 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Hematology. Recurrent topics in Bradley Patay's work include Acute Myeloid Leukemia Research (2 papers), Genomics and Rare Diseases (2 papers) and Cancer Genomics and Diagnostics (2 papers). Bradley Patay is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Genomics and Rare Diseases (2 papers) and Cancer Genomics and Diagnostics (2 papers). Bradley Patay collaborates with scholars based in United States, Netherlands and Puerto Rico. Bradley Patay's co-authors include Eric J. Topol, Nicholas J. Schork, Brian F. Issell, Elizabeth O. Lillie, R. L. Bjork, Jennifer Friedman, Debra Boeldt, Ronald A. Simon, Nelson Hwynn and Ali Torkamani and has published in prestigious journals such as Blood, The American Journal of Medicine and Genetics in Medicine.

In The Last Decade

Bradley Patay

6 papers receiving 479 citations

Hit Papers

align trajectories

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.

The N-Of-1 Clinical Trial: The Ultimate Strategy For Individualizing Medicine?

2011 442 citations Elizabeth O. Lillie, Bradley Patay et al. Personalized Medicine profile →

Peers

Bradley Patay

GENET

MB

EE

AP

PHYSI

Eric Devine United States

Lior Rennert United States

Stefan Konigorski Germany

Kelly Bell United States

Frantis̆ek Bartos̆ Netherlands

Phillip W. Lavori United States

Oleksandr Sverdlov United States

Carol Waudby United States

Jeffrey Annis United States

Amelie Elsäßer Germany

Eric Devine United States

Bradley Patay

47 ×0.7

GENET

107 ×1.6

MB

15 ×0.3

EE

28 ×0.5

AP

48 ×0.9

PHYSI

Citations per year, relative to Bradley Patay Bradley Patay (= 1×) peers Eric Devine

Countries citing papers authored by Bradley Patay

Since Specialization

Citations

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

Fields of papers citing papers by Bradley Patay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bradley Patay

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

All Works

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10 of 10 papers shown

1.

Epstein, E., A. Robinson, Samantha R. Spierling Bagsic, et al.. (2024). Correlation Between An FDA-approved CCTA Plaque Analysis Software And An Adaptive-HU Precontrast Software For Volume Quantification Of Calcified Plaque: Does Tube Voltage Affect Accuracy?. Journal of cardiovascular computed tomography. 18(1). S23–S23. 1 indexed citations

2.

Hu, Erding, Alexander van Rosendael, E. Epstein, et al.. (2024). AI Evaluation Of Stenosis On Coronary CTA: Real World Comparison With Quantitative Coronary Angiography. Journal of cardiovascular computed tomography. 18(1). S7–S7.

3.

Kalafut, Mary, et al.. (2022). Cardiovascular Autonomic Regulation, ETCO2 and the Heart Rate Response to the Tilt Table Test in Patients with Orthostatic Intolerance. Applied Psychophysiology and Biofeedback. 47(2). 107–119. 1 indexed citations

4.

Patay, Bradley, et al.. (2021). Machine Learning Algorithms Accelerate Throughput of a Flow - Sequencing Cell Based Assay for an Acute Myeloid Leukemia (AML) Therapeutic Discovery Platform. Blood. 138(Supplement 1). 4930–4930.

5.

Robinson, A., et al.. (2021). An Argument For CT Coronary Artery Calcium (CAC) Scoring Population Health Screening: Gender-specific, Organ-specific, & Whole Body Dosimetry. Journal of cardiovascular computed tomography. 15(4). S32–S33.

6.

Qin, Guangrong, Ilya Shmulevich, Taek‐Kyun Kim, et al.. (2020). Co-Occurring Mutation Clusters Predict Drug Sensitivity in Acute Myeloid Leukemia. Blood. 136(Supplement 1). 12–13.

7.

Chien, Sylvia, James Annis, Jin Dai, et al.. (2018). High Throughput Drug Screening of Leukemia Stem Cells Reveals Resistance to Standard Therapies and Sensitivity to Other Agents in Acute Myeloid Leukemia. Blood. 132(Supplement 1). 180–180. 3 indexed citations

8.

Bloss, Cinnamon S., Ashley A. Scott‐Van Zeeland, Sarah E. Topol, et al.. (2015). A genome sequencing program for novel undiagnosed diseases. Genetics in Medicine. 17(12). 995–1001. 20 indexed citations

9.

Patay, Bradley & Eric J. Topol. (2011). The Unmet Need of Education in Genomic Medicine. The American Journal of Medicine. 125(1). 5–6. 25 indexed citations

10.

Lillie, Elizabeth O., et al.. (2011). The N-Of-1 Clinical Trial: The Ultimate Strategy For Individualizing Medicine?. Personalized Medicine. 8(2). 161–173. 442 indexed citations breakdown →

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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