Takuya Torizawa

46 total papers · 1.4k total citations
23 papers, 1000 citations indexed

About

Takuya Torizawa is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Takuya Torizawa has authored 23 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Organic Chemistry. Recurrent topics in Takuya Torizawa's work include Monoclonal and Polyclonal Antibodies Research (7 papers), DNA and Nucleic Acid Chemistry (6 papers) and Protein purification and stability (3 papers). Takuya Torizawa is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), DNA and Nucleic Acid Chemistry (6 papers) and Protein purification and stability (3 papers). Takuya Torizawa collaborates with scholars based in Japan, United States and South Korea. Takuya Torizawa's co-authors include Masatsune Kainosho, Tsutomu Terauchi, Akira Ono, Peter Güntert, Hiroshi Miyano, Masato Shimizu, Masato Taoka, Kenji Kashima, Takashi Chiba and Hiroki Kawauchi and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Takuya Torizawa

22 papers receiving 982 citations

Author Peers

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

Author Last Decade Papers Cites
Takuya Torizawa 794 217 199 146 142 23 1000
Sudhir Burman 492 0.6× 112 0.5× 133 0.7× 209 1.4× 185 1.3× 33 897
Marina Gay 449 0.6× 81 0.4× 122 0.6× 38 0.3× 93 0.7× 36 850
Keith L. Constantine 765 1.0× 210 1.0× 137 0.7× 73 0.5× 80 0.6× 33 1.2k
Robert H. Newman 835 1.1× 86 0.4× 135 0.7× 48 0.3× 122 0.9× 56 1.2k
Yoichi Takakusagi 493 0.6× 211 1.0× 255 1.3× 281 1.9× 94 0.7× 67 1.0k
Νicholas Barlow 459 0.6× 163 0.8× 128 0.6× 72 0.5× 89 0.6× 29 938
Kevin Shreder 587 0.7× 243 1.1× 223 1.1× 68 0.5× 145 1.0× 40 1.0k
Eyal Arbely 820 1.0× 141 0.6× 79 0.4× 56 0.4× 131 0.9× 34 1.1k
Stephen J. Coales 640 0.8× 78 0.4× 403 2.0× 129 0.9× 48 0.3× 24 1.1k
R. Miura 680 0.9× 142 0.7× 43 0.2× 49 0.3× 223 1.6× 37 1.2k

Countries citing papers authored by Takuya Torizawa

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Torizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Torizawa

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