Brent McCright

2.7k total citations
27 papers, 2.1k citations indexed

About

Brent McCright is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Brent McCright has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Brent McCright's work include Pediatric Hepatobiliary Diseases and Treatments (5 papers), Advanced MRI Techniques and Applications (5 papers) and Ubiquitin and proteasome pathways (4 papers). Brent McCright is often cited by papers focused on Pediatric Hepatobiliary Diseases and Treatments (5 papers), Advanced MRI Techniques and Applications (5 papers) and Ubiquitin and proteasome pathways (4 papers). Brent McCright collaborates with scholars based in United States, Canada and Poland. Brent McCright's co-authors include Thomas Gridley, Julie Lozier, David M. Virshup, Ann M. Rivers, Andrey Antov, Derk Amsen, Meinrad Busslinger, Freddy Radtke, Richard A. Flavell and Dragana Janković and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and The Journal of Immunology.

In The Last Decade

Brent McCright

27 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brent McCright United States 16 1.4k 345 312 282 193 27 2.1k
Meri T. Firpo United States 23 2.3k 1.6× 489 1.4× 362 1.2× 199 0.7× 172 0.9× 38 2.9k
Li‐Ru You Taiwan 20 1.3k 0.9× 209 0.6× 229 0.7× 243 0.9× 269 1.4× 38 2.2k
Uichi Koshimizu Japan 22 900 0.6× 285 0.8× 258 0.8× 105 0.4× 83 0.4× 28 1.4k
Doris Steinemann Germany 31 1.6k 1.1× 197 0.6× 531 1.7× 298 1.1× 551 2.9× 127 2.8k
Christophe F. Grosset France 22 930 0.6× 197 0.6× 135 0.4× 385 1.4× 218 1.1× 53 1.9k
Gerald Horan United States 17 1.1k 0.7× 129 0.4× 338 1.1× 329 1.2× 269 1.4× 25 2.1k
Albert F. Candia United States 17 1.3k 0.9× 111 0.3× 214 0.7× 591 2.1× 407 2.1× 32 2.0k
Seiji Sakano Japan 25 1.6k 1.1× 448 1.3× 274 0.9× 670 2.4× 319 1.7× 37 2.7k
Wouter Korver United States 19 1.0k 0.7× 126 0.4× 176 0.6× 306 1.1× 296 1.5× 26 1.6k
Frank Kuhnert United States 19 2.0k 1.4× 229 0.7× 287 0.9× 201 0.7× 449 2.3× 32 2.9k

Countries citing papers authored by Brent McCright

Since Specialization
Citations

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

Fields of papers citing papers by Brent McCright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brent McCright

This figure shows the co-authorship network connecting the top 25 collaborators of Brent McCright. A scholar is included among the top collaborators of Brent McCright 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 Brent McCright. Brent McCright 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.
Guag, Joshua, et al.. (2023). A new method to improve RF safety of implantable medical devices using inductive coupling at 3.0 T MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 36(6). 933–943. 4 indexed citations
2.
3.
Rajan, Sunder S., et al.. (2020). Sensitivity and uniformity improvement of phased array MR images using inductive coupling and RF detuning circuits. Magnetic Resonance Materials in Physics Biology and Medicine. 33(5). 725–733. 3 indexed citations
4.
Ma, Ge, et al.. (2018). Improvement of 19F MR image uniformity in a mouse model of cellular therapy using inductive coupling. Magnetic Resonance Materials in Physics Biology and Medicine. 32(1). 15–23. 4 indexed citations
5.
6.
McCright, Brent, et al.. (2017). Improvement of Electromagnetic Field Distributions Using High Dielectric Constant (HDC) Materials for CTL-Spine MRI: Numerical Simulations and Experiments. IEEE Transactions on Electromagnetic Compatibility. 59(5). 1382–1389. 2 indexed citations
7.
Angelone, Leonardo M., et al.. (2017). RF Safety Evaluation of a Breast Tissue Expander Device for MRI: Numerical Simulation and Experiment. IEEE Transactions on Electromagnetic Compatibility. 59(5). 1390–1399. 6 indexed citations
8.
McCright, Brent, Jiyoung M. Dang, Deborah A. Hursh, et al.. (2009). Synopsis of the Food and Drug Administration–National Institute of Standards and Technology Co-Sponsored “ In Vitro Analyses of Cell/Scaffold Products” Workshop. Tissue Engineering Part A. 15(3). 455–460. 5 indexed citations
9.
Kraman, Matthew, et al.. (2009). Generation of mice that conditionally express the activation domain of Notch2. genesis. 47(8). 573–578. 3 indexed citations
10.
Surendran, Kameswaran, Scott Boyle, Hila Barak, et al.. (2009). The contribution of Notch1 to nephron segmentation in the developing kidney is revealed in a sensitized Notch2 background and can be augmented by reducing Mint dosage. Developmental Biology. 337(2). 386–395. 61 indexed citations
11.
Kraman, Matthew, et al.. (2008). Notch2 is required for the proliferation of cardiac neural crest‐derived smooth muscle cells. Developmental Dynamics. 237(4). 1144–1152. 60 indexed citations
12.
Lozier, Julie, Brent McCright, & Thomas Gridley. (2008). Notch Signaling Regulates Bile Duct Morphogenesis in Mice. PLoS ONE. 3(3). e1851–e1851. 93 indexed citations
13.
Amsen, Derk, Andrey Antov, Dragana Janković, et al.. (2007). Direct Regulation of Gata3 Expression Determines the T Helper Differentiation Potential of Notch. Immunity. 27(1). 89–99. 321 indexed citations
14.
McCright, Brent, Julie Lozier, & Thomas Gridley. (2006). Generation of new Notch2 mutant alleles. genesis. 44(1). 29–33. 81 indexed citations
15.
McCright, Brent. (2003). Notch signaling in kidney development. Current Opinion in Nephrology & Hypertension. 12(1). 5–10. 65 indexed citations
16.
McCright, Brent, Julie Lozier, & Thomas Gridley. (2002). A mouse model of Alagille syndrome:Notch2as a genetic modifier ofJag1haploinsufficiency. Development. 129(4). 1075–1082. 361 indexed citations
17.
McCright, Brent & David M. Virshup. (1998). Identifying Protein Phosphatase 2A Interacting Proteins Using the Yeast Two-Hybrid Method. Humana Press eBooks. 93. 263–277. 1 indexed citations
19.
McCright, Brent, et al.. (1996). The B56 Family of Protein Phosphatase 2A (PP2A) Regulatory Subunits Encodes Differentiation-induced Phosphoproteins That Target PP2A to Both Nucleus and Cytoplasm. Journal of Biological Chemistry. 271(36). 22081–22089. 321 indexed citations
20.
McCright, Brent & David M. Virshup. (1995). Identification of a New Family of Protein Phosphatase 2A Regulatory Subunits. Journal of Biological Chemistry. 270(44). 26123–26128. 194 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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