Junko Irie-Sasaki

12 total papers · 3.7k total citations
9 papers, 2.5k citations indexed

About

Junko Irie-Sasaki is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Junko Irie-Sasaki has authored 9 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Junko Irie-Sasaki's work include Protein Tyrosine Phosphatases (3 papers), T-cell and B-cell Immunology (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Junko Irie-Sasaki is often cited by papers focused on Protein Tyrosine Phosphatases (3 papers), T-cell and B-cell Immunology (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Junko Irie-Sasaki collaborates with scholars based in Canada, Japan and United States. Junko Irie-Sasaki's co-authors include Takehiko Sasaki, Josef Penninger, Antonio J. Oliveira-dos-Santos, I. Kozieradzki, Akira Suzuki, Dennis Bouchard, Andrew Wakeham, William L. Stanford, Tak W. Mak and Pamela S. Ohashi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Junko Irie-Sasaki

9 papers receiving 2.5k citations

Hit Papers

Function of PI3Kγ in Thym... 2000 2026 2008 2017 2000 2000 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Junko Irie-Sasaki 1.5k 990 905 327 201 9 2.5k
Michael B. Sporn 1.8k 1.3× 758 0.8× 781 0.9× 405 1.2× 147 0.7× 15 3.7k
Marcia M. Shull 1.7k 1.2× 876 0.9× 616 0.7× 253 0.8× 92 0.5× 7 3.1k
Ruth D. Allen 1.4k 0.9× 1.2k 1.2× 592 0.7× 261 0.8× 101 0.5× 10 3.1k
Ronald J. Diebold 1.7k 1.2× 967 1.0× 609 0.7× 260 0.8× 96 0.5× 11 3.3k
Enrico Arpaia 910 0.6× 1.2k 1.2× 789 0.9× 169 0.5× 196 1.0× 20 2.5k
William H. Brissette 1.5k 1.0× 1.0k 1.1× 687 0.8× 363 1.1× 158 0.8× 25 3.4k
Dennis Bouchard 1.2k 0.8× 1.6k 1.6× 615 0.7× 229 0.7× 187 0.9× 9 2.5k
Dennis T. Sasaki 1.6k 1.1× 691 0.7× 545 0.6× 398 1.2× 97 0.5× 13 2.9k
Chengsen Xue 1.9k 1.3× 364 0.4× 855 0.9× 383 1.2× 258 1.3× 13 3.7k
Ekrem Emrah Er 1.7k 1.2× 527 0.5× 787 0.9× 389 1.2× 205 1.0× 12 2.9k

Countries citing papers authored by Junko Irie-Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Junko Irie-Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junko Irie-Sasaki. 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 Junko Irie-Sasaki. The network helps show where Junko Irie-Sasaki may publish in the future.

Co-authorship network of co-authors of Junko Irie-Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Irie-Sasaki. A scholar is included among the top collaborators of Junko Irie-Sasaki 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 Junko Irie-Sasaki. Junko Irie-Sasaki 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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