Shinya Aoki

20 total papers · 451 total citations
11 papers, 389 citations indexed

About

Shinya Aoki is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Shinya Aoki has authored 11 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Surgery. Recurrent topics in Shinya Aoki's work include Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Shinya Aoki is often cited by papers focused on Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Shinya Aoki collaborates with scholars based in Japan, United States and Norway. Shinya Aoki's co-authors include Yutaka Yatomi, Makoto Osada, Esteban C. Gabazza, Yukio Ozaki, Masato Ohta, Kaneo Satoh, Koji Suzuki, Kazuhiko Nakahara, Hikaru Ueno and Hiroyuki Takeya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Shinya Aoki

10 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Shinya Aoki	272	96	87	47	45	11	389
Stefan Zöllner	281 1.0×	70 0.7×	90 1.0×	50 1.1×	36 0.8×	10	424
Anna Miller	135 0.5×	92 1.0×	90 1.0×	67 1.4×	51 1.1×	13	378
Benjamin Y. Owusu	145 0.5×	70 0.7×	71 0.8×	50 1.1×	22 0.5×	16	388
Sangeeta Adak	213 0.8×	49 0.5×	69 0.8×	50 1.1×	20 0.4×	18	400
Christine Hamiel	156 0.6×	49 0.5×	96 1.1×	77 1.6×	28 0.6×	11	388
Molly Migliorini	155 0.6×	50 0.5×	85 1.0×	41 0.9×	24 0.5×	7	339
Kamran Javaid	179 0.7×	42 0.4×	70 0.8×	119 2.5×	23 0.5×	7	377
Zsolt Kasza	178 0.7×	96 1.0×	43 0.5×	66 1.4×	22 0.5×	15	385
Matthew C. Williams	144 0.5×	134 1.4×	103 1.2×	24 0.5×	46 1.0×	11	396
Blandine Secco	229 0.8×	44 0.5×	168 1.9×	59 1.3×	18 0.4×	12	446

Countries citing papers authored by Shinya Aoki

Since Specialization

Citations

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

Fields of papers citing papers by Shinya Aoki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Aoki. A scholar is included among the top collaborators of Shinya Aoki 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 Shinya Aoki. Shinya Aoki 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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