Brian R. Stanton

1.5k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Brian R. Stanton is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Brian R. Stanton has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Genetics. Recurrent topics in Brian R. Stanton's work include Pluripotent Stem Cells Research (3 papers), Neuroblastoma Research and Treatments (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Brian R. Stanton is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Neuroblastoma Research and Treatments (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Brian R. Stanton collaborates with scholars based in United States and Canada. Brian R. Stanton's co-authors include Luis F. Parada, Archibald S. Perkins, David Sassoon, Lino Tessarollo, Enrique Escandón, Dan Soppet, David R. Kaplan, Louis E. Burton, Tony Hunter and Károly Nikolics and has published in prestigious journals such as Cell, Genes & Development and Molecular and Cellular Biology.

In The Last Decade

Brian R. Stanton

7 papers receiving 1.2k 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 neurotrophic factors brain-derived neurotrophic factor and neurotrophin-3 are ligands for the trkB tyrosine kinase receptor

1991 703 citations Dan Soppet, Enrique Escandón et al. Cell profile →

Peers

Brian R. Stanton

MB

CMN

DN

GENET

NEURO

Lilla Farkas Germany

Petro Suvanto Finland

R. Götz Germany

Ann-Sofie Nilsson Sweden

Yanbin Yu United States

Raja Kittappa United States

Zheng Hu United States

José Ramón Pineda Spain

Wayne Murrell Australia

Maria Sundberg United States

Lilla Farkas Germany

Brian R. Stanton

806 ×1.0

MB

560 ×0.9

CMN

390 ×1.3

DN

110 ×0.7

GENET

114 ×0.9

NEURO

Citations per year, relative to Brian R. Stanton Brian R. Stanton (= 1×) peers Lilla Farkas

Countries citing papers authored by Brian R. Stanton

Since Specialization

Citations

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

Fields of papers citing papers by Brian R. Stanton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian R. Stanton

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Moens, Cecilia B., Brian R. Stanton, Luis F. Parada, & Janet Rossant. (1993). Defects in heart and lung development in compound heterozygotes for two different targeted mutations at the N-myc locus. Development. 119(2). 485–499. 157 indexed citations

2.

Stanton, Brian R., Archibald S. Perkins, Lino Tessarollo, David Sassoon, & Luis F. Parada. (1992). Loss of N-myc function results in embryonic lethality and failure of the epithelial component of the embryo to develop.. Genes & Development. 6(12a). 2235–2247. 306 indexed citations

3.

Stanton, Brian R. & Luis F. Parada. (1991). The N‐myc Proto‐oncogene: Developmental Expression and in vivo Site‐Directed Mutagenesis. Brain Pathology. 2(1). 71–83. 36 indexed citations

4.

Soppet, Dan, Enrique Escandón, David S. Middlemas, et al.. (1991). The neurotrophic factors brain-derived neurotrophic factor and neurotrophin-3 are ligands for the trkB tyrosine kinase receptor. Cell. 65(5). 895–903. 703 indexed citations breakdown →

5.

Stanton, Brian R., Susan Reid, & Luis F. Parada. (1990). Notes: Germ Line Transmission of an Inactive N-myc Allele Generated by Homologous Recombination in Mouse Embryonic Stem Cells. Molecular and Cellular Biology. 10(12). 6755–6758. 6 indexed citations

6.

Stanton, Brian R., S. W. J. Reid, & Luis F. Parada. (1990). Germ line transmission of an inactive N-myc allele generated by homologous recombination in mouse embryonic stem cells.. Molecular and Cellular Biology. 10(12). 6755–6758. 29 indexed citations

7.

Psychoyos, Stacy, et al.. (1979). The influence of glucose, other monosaccharides, and ascorbic acid on tyrosine hydroxylase activity of rat striatal synaptosomes. Life Sciences. 25(13). 1119–1125. 10 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.

Explore authors with similar magnitude of impact