Ryuzo Sasaki

278 total papers · 6.8k total citations
198 papers, 5.5k citations indexed

About

Ryuzo Sasaki is a scholar working on Molecular Biology, Physiology and Hematology. According to data from OpenAlex, Ryuzo Sasaki has authored 198 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 40 papers in Physiology and 36 papers in Hematology. Recurrent topics in Ryuzo Sasaki's work include Erythropoietin and Anemia Treatment (33 papers), Proteins in Food Systems (23 papers) and Erythrocyte Function and Pathophysiology (22 papers). Ryuzo Sasaki is often cited by papers focused on Erythropoietin and Anemia Treatment (33 papers), Proteins in Food Systems (23 papers) and Erythrocyte Function and Pathophysiology (22 papers). Ryuzo Sasaki collaborates with scholars based in Japan, United States and United Kingdom. Ryuzo Sasaki's co-authors include Hideo Chiba, Seiji Masuda, Masaya Nagao, Koji Ikura, Masaaki Yoshikawa, Emi Morishita, Masahiro Sakanaka, Tong‐Chun Wen, Seiji Matsuda and Masatsugu Ueda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Ryuzo Sasaki

195 papers receiving 5.3k citations

Hit Papers

In vivo evidence that ery... 1998 2026 2007 2016 1998 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Ryuzo Sasaki 2.7k 1.7k 858 517 499 198 5.5k
Hugues Chap 3.6k 1.4× 964 0.6× 796 0.9× 346 0.7× 137 0.3× 163 6.6k
Yutaka Kohgo 2.9k 1.1× 1.2k 0.7× 574 0.7× 1.4k 2.7× 216 0.4× 243 7.4k
Joen‐Rong Sheu 2.1k 0.8× 410 0.2× 436 0.5× 434 0.8× 155 0.3× 232 5.9k
Donald A. McClain 6.4k 2.4× 1.2k 0.7× 2.7k 3.1× 412 0.8× 121 0.2× 166 11.5k
Hui Zhao 1.6k 0.6× 557 0.3× 210 0.2× 330 0.6× 396 0.8× 160 4.0k
Hiroyasu Inoue 3.5k 1.3× 282 0.2× 1.0k 1.2× 1.2k 2.3× 270 0.5× 176 8.5k
W. G. Wood 2.2k 0.8× 1.4k 0.8× 1.2k 1.4× 238 0.5× 84 0.2× 173 5.6k
Sachiko Oh‐ishi 3.3k 1.2× 310 0.2× 682 0.8× 460 0.9× 108 0.2× 172 6.8k
Mariarosaria Bucci 2.3k 0.9× 549 0.3× 1.1k 1.3× 231 0.4× 94 0.2× 112 5.6k
Changhong Li 2.0k 0.8× 227 0.1× 610 0.7× 334 0.6× 284 0.6× 134 5.2k

Countries citing papers authored by Ryuzo Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Ryuzo Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuzo Sasaki

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