Joseph Rapley

11 total papers · 1.1k total citations
9 papers, 880 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 880 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 United Kingdom. Joseph Rapley's co-authors include Joseph Avruch, Ning Dai, Sara Ortiz-Vega, Angela Papageorgiou, Samuel Long, Noriko Oshiro, Matthew Angel, Michael D. Blower, Mehmet Fatih Yanik and Aaron C. Groen 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 869 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph Rapley 658 255 152 97 74 9 880
Jan H. Reiling 546 0.8× 222 0.9× 113 0.7× 101 1.0× 76 1.0× 12 835
Walter Englaro 591 0.9× 359 1.4× 129 0.8× 170 1.8× 57 0.8× 9 999
Shaosong Yang 746 1.1× 173 0.7× 84 0.6× 96 1.0× 103 1.4× 13 1.1k
Sara Carlson 515 0.8× 217 0.9× 94 0.6× 65 0.7× 87 1.2× 16 856
Michael C. Kacergis 613 0.9× 234 0.9× 103 0.7× 73 0.8× 102 1.4× 8 884
Shuyu Wang 624 0.9× 187 0.7× 249 1.6× 119 1.2× 68 0.9× 12 969
Sanjoy K. Khan 391 0.6× 238 0.9× 74 0.5× 87 0.9× 110 1.5× 15 916
Nathaniel Albanese 634 1.0× 256 1.0× 65 0.4× 112 1.2× 79 1.1× 7 823
Kayleigh Dodd 553 0.8× 132 0.5× 152 1.0× 82 0.8× 157 2.1× 10 835
Feven Tameire 498 0.8× 281 1.1× 135 0.9× 78 0.8× 80 1.1× 11 840

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

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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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