Hiroyuki Tsuda

305 total papers · 9.5k total citations
254 papers, 7.5k citations indexed

About

Hiroyuki Tsuda is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hiroyuki Tsuda has authored 254 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 70 papers in Cancer Research and 39 papers in Oncology. Recurrent topics in Hiroyuki Tsuda's work include Carcinogens and Genotoxicity Assessment (45 papers), Glutathione Transferases and Polymorphisms (31 papers) and Genomics, phytochemicals, and oxidative stress (28 papers). Hiroyuki Tsuda is often cited by papers focused on Carcinogens and Genotoxicity Assessment (45 papers), Glutathione Transferases and Polymorphisms (31 papers) and Genomics, phytochemicals, and oxidative stress (28 papers). Hiroyuki Tsuda collaborates with scholars based in Japan, United Kingdom and United States. Hiroyuki Tsuda's co-authors include Nobuyuki Ito, Shoji Fukushima, Masae Tatematsu, Masaaki Iigo, Emmanuel Farber, Katsumi Imaida, Malcolm A Moore, Nobuyuki Ito, Nobuo Takasuka and David B. Alexander and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Hiroyuki Tsuda

250 papers receiving 7.1k citations

Author Peers

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

Author Last Decade Papers Cites
Hiroyuki Tsuda 3.4k 1.8k 1.1k 866 751 254 7.5k
Nobuyuki Ito 3.2k 1.0× 2.3k 1.3× 506 0.5× 831 1.0× 770 1.0× 237 7.1k
Katsumi Imaida 2.6k 0.8× 1.9k 1.1× 397 0.4× 1.0k 1.2× 531 0.7× 251 6.3k
Masao Hirose 3.2k 0.9× 2.0k 1.1× 490 0.5× 713 0.8× 506 0.7× 332 7.3k
David R. Bickers 4.7k 1.4× 1.2k 0.6× 479 0.5× 1.2k 1.4× 1.1k 1.4× 252 12.1k
Mariko Murata 3.2k 0.9× 1.4k 0.8× 431 0.4× 1.2k 1.4× 282 0.4× 189 7.4k
Samuel M. Cohen 3.4k 1.0× 2.8k 1.6× 822 0.8× 1.1k 1.2× 707 0.9× 329 10.8k
Joo Young Lee 4.0k 1.2× 941 0.5× 1.4k 1.3× 598 0.7× 468 0.6× 267 10.3k
Xin Wang 3.7k 1.1× 777 0.4× 523 0.5× 496 0.6× 509 0.7× 278 7.6k
Akiyoshi Nishikawa 2.4k 0.7× 1.4k 0.8× 470 0.4× 454 0.5× 545 0.7× 300 6.1k
Yusuke Hiraku 3.0k 0.9× 1.2k 0.7× 452 0.4× 1.1k 1.3× 247 0.3× 150 7.2k

Countries citing papers authored by Hiroyuki Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Tsuda

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