Shiro Kadowaki

1.3k total citations
4 papers, 946 citations indexed

About

Shiro Kadowaki is a scholar working on Molecular Biology, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shiro Kadowaki has authored 4 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Shiro Kadowaki's work include Receptor Mechanisms and Signaling (2 papers), Adenosine and Purinergic Signaling (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Shiro Kadowaki is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Adenosine and Purinergic Signaling (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Shiro Kadowaki collaborates with scholars based in Japan and United States. Shiro Kadowaki's co-authors include Masamitsu Iino, Kenzo Hirose, Mao Tanabe, Hiroshi Takeshima, Tatsuya Haga, Shigeki Takeda, Shigeki Mitaku, Craig H. Mermel, Jason Hipp and Po-Hsuan Cameron Chen and has published in prestigious journals such as Science, Nature Medicine and The Journal of Physiology.

In The Last Decade

Shiro Kadowaki

4 papers receiving 924 citations

Peers

Countries citing papers authored by Shiro Kadowaki

Since Specialization

Citations

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

Fields of papers citing papers by Shiro Kadowaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiro Kadowaki

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis 2019 ·Nature Medicine ·Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Shiro Kadowaki, Kunal Nagpal, Timo Kohlberger, Jay B. Dean, Greg S. Corrado, Jason Hipp, Craig H. Mermel, Martin C. Stumpe	186
2	Identification of G protein‐coupled receptor genes from the human genome sequence 2002 ·FEBS Letters ·Shigeki Takeda, Shiro Kadowaki, Tatsuya Haga, (unknown), Shigeki Mitaku	281
3	Spatiotemporal Dynamics of Inositol 1,4,5-Trisphosphate That Underlies Complex Ca ²⁺ Mobilization Patterns 1999 ·Science ·Kenzo Hirose, Shiro Kadowaki, Mao Tanabe, Hiroshi Takeshima, Masamitsu Iino	441
4	Allosteric regulation by cytoplasmic Ca²⁺ and IP₃ of the gating of IP₃ receptors in permeabilized guinea‐pig vascular smooth muscle cells 1998 ·The Journal of Physiology ·Kenzo Hirose, Shiro Kadowaki, Masamitsu Iino	38

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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