Shinya Tsukiji

138 total papers · 3.6k total citations
83 papers, 2.9k citations indexed

About

Shinya Tsukiji is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Shinya Tsukiji has authored 83 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 30 papers in Organic Chemistry and 17 papers in Cell Biology. Recurrent topics in Shinya Tsukiji's work include Click Chemistry and Applications (24 papers), Chemical Synthesis and Analysis (15 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). Shinya Tsukiji is often cited by papers focused on Click Chemistry and Applications (24 papers), Chemical Synthesis and Analysis (15 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). Shinya Tsukiji collaborates with scholars based in Japan, United States and Germany. Shinya Tsukiji's co-authors include Itaru Hamachi, Teruyuki Nagamune, Yousuke Takaoka, Tomonori Tamura, Masayoshi Miyagawa, Seiji Shinkai, Hiroaki Suga, Swetansu Pattnaik, Shigero Oishi and Akinobu Nakamura and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Cancer Research.

In The Last Decade

Shinya Tsukiji

82 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Shinya Tsukiji 2.0k 1.1k 520 500 412 83 2.9k
Yousuke Takaoka 1.4k 0.7× 1.0k 0.9× 447 0.9× 390 0.8× 254 0.6× 53 2.2k
Ryan A. Mehl 3.8k 1.9× 1.7k 1.5× 524 1.0× 715 1.4× 355 0.9× 113 5.2k
Michael D. Best 2.4k 1.2× 1.5k 1.4× 497 1.0× 397 0.8× 353 0.9× 100 4.0k
Jianming Xie 2.6k 1.3× 685 0.6× 364 0.7× 346 0.7× 220 0.5× 51 4.3k
Amy E. Keating 3.7k 1.9× 507 0.5× 515 1.0× 486 1.0× 455 1.1× 94 4.7k
Yuichiro Hori 1.4k 0.7× 673 0.6× 631 1.2× 251 0.5× 392 1.0× 63 2.4k
Christian F. W. Becker 2.2k 1.1× 938 0.8× 288 0.6× 308 0.6× 199 0.5× 144 3.5k
Christopher W. Cairo 2.2k 1.1× 1.2k 1.1× 158 0.3× 460 0.9× 267 0.6× 88 3.1k
Ute Schepers 1.4k 0.7× 1.1k 1.0× 782 1.5× 208 0.4× 358 0.9× 113 3.2k
James V. Staros 2.0k 1.0× 381 0.3× 207 0.4× 565 1.1× 390 0.9× 59 3.3k

Countries citing papers authored by Shinya Tsukiji

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Tsukiji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Tsukiji

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