Joseph Rapley

1.1k total citations
9 papers, 884 citations indexed

About

Joseph Rapley is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Joseph Rapley has authored 9 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cell Biology. Recurrent topics in Joseph Rapley's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Mast cells and histamine (2 papers). Joseph Rapley is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Mast cells and histamine (2 papers). Joseph Rapley collaborates with scholars based in United States, Japan and Germany. Joseph Rapley's co-authors include Joseph Avruch, Ning Dai, Sara Ortiz-Vega, Angela Papageorgiou, Samuel Long, Noriko Oshiro, Mehmet Fatih Yanik, Matthew Angel, Michael D. Blower and M. Teresa Bertran and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.

In The Last Decade

Joseph Rapley

9 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Rapley United States 9 661 256 153 97 74 9 884
Michael C. Kacergis United States 8 616 0.9× 235 0.9× 103 0.7× 74 0.8× 106 1.4× 8 891
Gwen R. Buel United States 10 485 0.7× 156 0.6× 93 0.6× 52 0.5× 74 1.0× 11 672
Kayleigh Dodd United Kingdom 8 554 0.8× 133 0.5× 152 1.0× 82 0.8× 156 2.1× 10 839
Carolyn J. Loveridge United Kingdom 12 605 0.9× 154 0.6× 150 1.0× 62 0.6× 44 0.6× 15 769
Luca Lignitto Italy 11 717 1.1× 126 0.5× 160 1.0× 73 0.8× 51 0.7× 12 894
Shuyu Wang China 7 624 0.9× 188 0.7× 250 1.6× 120 1.2× 68 0.9× 12 976
Gyuyoup Kim United States 11 639 1.0× 177 0.7× 73 0.5× 85 0.9× 124 1.7× 16 899
Yiwen Bu United States 16 433 0.7× 276 1.1× 218 1.4× 105 1.1× 58 0.8× 17 759
Kum-Joo Shin South Korea 11 533 0.8× 123 0.5× 87 0.6× 78 0.8× 55 0.7× 14 739

Countries citing papers authored by Joseph Rapley

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Rapley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Rapley

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

All Works

9 of 9 papers shown
1.
Papageorgiou, Angela, Joseph Rapley, Jill P. Mesirov, Pablo Tamayo, & Joseph Avruch. (2015). A Genome-Wide siRNA Screen in Mammalian Cells for Regulators of S6 Phosphorylation. PLoS ONE. 10(3). e0116096–e0116096. 8 indexed citations
2.
Oshiro, Noriko, Joseph Rapley, & Joseph Avruch. (2013). Amino Acids Activate Mammalian Target of Rapamycin (mTOR) Complex 1 without Changing Rag GTPase Guanyl Nucleotide Charging. Journal of Biological Chemistry. 289(5). 2658–2674. 51 indexed citations
3.
Rapley, Joseph, Noriko Oshiro, Sara Ortiz-Vega, & Joseph Avruch. (2011). The Mechanism of Insulin-stimulated 4E-BP Protein Binding to Mammalian Target of Rapamycin (mTOR) Complex 1 and Its Contribution to mTOR Complex 1 Signaling. Journal of Biological Chemistry. 286(44). 38043–38053. 35 indexed citations
4.
Dai, Ning, Joseph Rapley, Matthew Angel, et al.. (2011). mTOR phosphorylates IMP2 to promote IGF2 mRNA translation by internal ribosomal entry. Genes & Development. 25(11). 1159–1172. 157 indexed citations
5.
Avruch, Joseph, Samuel Long, Yenshou Lin, et al.. (2009). Activation of mTORC1 in two steps: Rheb-GTP activation of catalytic function and increased binding of substrates to raptor1. Biochemical Society Transactions. 37(1). 223–226. 58 indexed citations
6.
Avruch, Joseph, Samuel Long, Sara Ortiz-Vega, et al.. (2008). Amino acid regulation of TOR complex 1. American Journal of Physiology-Endocrinology and Metabolism. 296(4). E592–E602. 302 indexed citations
7.
Rapley, Joseph, Marta Nicolàs, Aaron C. Groen, et al.. (2008). The NIMA-family kinase Nek6 phosphorylates the kinesin Eg5 at a novel site necessary for mitotic spindle formation. Journal of Cell Science. 121(23). 3912–3921. 113 indexed citations
8.
Ishiguro, Kazuhiro, Todd Green, Joseph Rapley, et al.. (2006). Ca2+/Calmodulin-Dependent Protein Kinase II Is a Modulator of CARMA1-Mediated NF-κB Activation. Molecular and Cellular Biology. 26(14). 5497–5508. 88 indexed citations
9.
Rapley, Joseph, Joanne E. Baxter, Joëlle Blot, et al.. (2005). Coordinate Regulation of the Mother Centriole Component Nlp by Nek2 and Plk1 Protein Kinases. Molecular and Cellular Biology. 25(4). 1309–1324. 72 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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