Brian Rhees

2.0k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Brian Rhees is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Brian Rhees has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Brian Rhees's work include Cardiac Imaging and Diagnostics (5 papers), Genetic Associations and Epidemiology (3 papers) and Adipose Tissue and Metabolism (3 papers). Brian Rhees is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Genetic Associations and Epidemiology (3 papers) and Adipose Tissue and Metabolism (3 papers). Brian Rhees collaborates with scholars based in United States, United Kingdom and Switzerland. Brian Rhees's co-authors include Traci Pawlowski, Christine Kuslich, Tapio Visakorpi, Freddie C. Hamdy, Richard J. Bryant, Gemma Marsden, James W.F. Catto, R L Vessella, Amy J. Sehnert and Eileen de Feo and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Stroke.

In The Last Decade

Brian Rhees

26 papers receiving 1.3k 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.

Changes in circulating microRNA levels associated with prostate cancer

2012 592 citations Richard J. Bryant, Traci Pawlowski et al. British Journal of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Rhees United States	12	716	569	249	232	136	26	1.3k
Anniek Corveleyn Belgium	17	536 0.7×	157 0.3×	430 1.7×	112 0.5×	68 0.5×	44	1.3k
Deborah Ritter United States	14	538 0.8×	216 0.4×	904 3.6×	333 1.4×	164 1.2×	29	1.5k
Pierluigi Scalia United States	13	996 1.4×	330 0.6×	241 1.0×	36 0.2×	283 2.1×	26	1.5k
Tianfu Li China	15	469 0.7×	209 0.4×	138 0.6×	39 0.2×	109 0.8×	44	853
Liangpu Xu China	16	384 0.5×	167 0.3×	333 1.3×	566 2.4×	78 0.6×	183	1.2k
Géraldine Mathonnet Canada	16	1.1k 1.6×	563 1.0×	259 1.0×	154 0.7×	112 0.8×	20	1.5k
George Xinarianos United Kingdom	24	1.5k 2.1×	474 0.8×	262 1.1×	186 0.8×	306 2.3×	35	2.2k
Soma Ray United States	24	889 1.2×	143 0.3×	94 0.4×	166 0.7×	154 1.1×	32	1.4k
N. Saha Singapore	19	554 0.8×	133 0.2×	224 0.9×	117 0.5×	315 2.3×	80	1.4k
Jason C. Poole United States	15	1.1k 1.6×	237 0.4×	183 0.7×	31 0.1×	337 2.5×	32	1.6k

Countries citing papers authored by Brian Rhees

Since Specialization

Citations

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

Fields of papers citing papers by Brian Rhees

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Rhees

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

Gupta, Swati, Yvonne G. Y. Chan, Edwin W. Lai, et al.. (2019). Closed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanoma. Journal for ImmunoTherapy of Cancer. 7(1). 254–254. 13 indexed citations

Gupta, Swati, Veronique Neumeister, John J. McGuire, et al.. (2019). Quantitative assessments and clinical outcomes in HER2 equivocal 2018 ASCO/CAP ISH group 4 breast cancer. npj Breast Cancer. 5(1). 28–28. 9 indexed citations

Wingrove, James A., Karen Fitch, Brian Rhees, Steven Rosenberg, & Deepak Voora. (2018). Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events. BMC Medical Genomics. 11(1). 1–1. 5 indexed citations

Gupta, Swati, Navin Mani, Daniel Carvajal‐Hausdorf, et al.. (2018). Macrodissection prior to closed system RT-qPCR is not necessary for estrogen receptor and HER2 concordance with IHC/FISH in breast cancer. Laboratory Investigation. 98(8). 1076–1083. 10 indexed citations

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

Voora, Deepak, Adrian Coles, Kerry L. Lee, et al.. (2016). An age- and sex-specific gene expression score is associated with revascularization and coronary artery disease: Insights from the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) trial. American Heart Journal. 184. 133–140. 8 indexed citations

Ladapo, Joseph A., Lee Herman, Bonnie H. Weiner, et al.. (2015). Use of a blood test incorporating age, sex, and gene expression influences medical decision-making in the evaluation of women presenting with symptoms suggestive of obstructive coronary artery disease. Menopause The Journal of The North American Menopause Society. 22(11). 1224–1230. 4 indexed citations

Rhees, Brian & James A. Wingrove. (2015). Developing Peripheral Blood Gene Expression-Based Diagnostic Tests for Coronary Artery Disease: a Review. Journal of Cardiovascular Translational Research. 8(6). 372–380. 7 indexed citations

Rhees, Brian, et al.. (2014). Utility of a Genomic-based, Personalized Medicine Test in Patients Presenting With Symptoms Suggesting Coronary Artery Disease. The Journal of the American Board of Family Medicine. 27(2). 258–267. 11 indexed citations

10.

Daniels, Susan E., Philip Beineke, Brian Rhees, et al.. (2014). Biological and Analytical Stability of a Peripheral Blood Gene Expression Score for Obstructive Coronary Artery Disease in the PREDICT and COMPASS Studies. Journal of Cardiovascular Translational Research. 7(7). 615–622. 11 indexed citations

11.

Bryant, Richard J., Traci Pawlowski, James W.F. Catto, et al.. (2012). Changes in circulating microRNA levels associated with prostate cancer. British Journal of Cancer. 106(4). 768–774. 592 indexed citations breakdown →

12.

Bryant, R.J., Traci Pawlowski, James W.F. Catto, et al.. (2012). 435 Circulating microRNAs are associated with the development and progression of prostate cancer. European Urology Supplements. 11(1). e435–e435a. 1 indexed citations

13.

Stokowski, Renee, et al.. (2010). Assessment of Clinical Validity of a Breast Cancer Risk Model Combining Genetic and Clinical Information. JNCI Journal of the National Cancer Institute. 102(21). 1618–1627. 118 indexed citations

14.

Tranah, Gregory J., Brent C Taylor, Li Lui, et al.. (2008). Genetic Variation in Candidate Osteoporosis Genes, Bone Mineral Density, and Fracture Risk: The Study of Osteoporotic Fractures. Calcified Tissue International. 83(3). 155–166. 47 indexed citations

15.

Wu, Xuxia, Jelai Wang, Xiangqin Cui, et al.. (2007). The effect of insulin on expression of genes and biochemical pathways in human skeletal muscle. Endocrine. 31(1). 5–17. 61 indexed citations

16.

Wang, Jun, Russell Higuchi, Francesmary Modugno, et al.. (2007). Estrogen receptor alpha haplotypes and breast cancer risk in older Caucasian women. Breast Cancer Research and Treatment. 106(2). 273–280. 46 indexed citations

17.

Wu, Xuxia, Jelai Wang, Xiangqin Cui, et al.. (2007). The effect of insulin on expression of genes and biochemical pathways in human skeletal muscle. Endocrine. 32(3). 356–356. 3 indexed citations

18.

Valdes, Ana M., et al.. (2004). Reply to Kraft. The American Journal of Human Genetics. 74(3). 584–585. 1 indexed citations

19.

Ernst, Calvin B., Brian Rhees, Miao Chen, & William T. Atchley. (2000). Effect of long-term selection for early postnatal growth rate on survival and prenatal development of transferred mouse embryos. Reproduction. 118(1). 205–210. 12 indexed citations

20.

Rhees, Brian & William R. Atchley. (2000). Body weight and tail length divergence in mice selected for rate of development. Journal of Experimental Zoology. 288(2). 151–164. 12 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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