S Sakiyama

74 total papers · 1.4k total citations
66 papers, 1.3k citations indexed

About

S Sakiyama is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, S Sakiyama has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 24 papers in Oncology and 19 papers in Biotechnology. Recurrent topics in S Sakiyama's work include Cancer Research and Treatments (18 papers), Virus-based gene therapy research (16 papers) and Cancer-related Molecular Pathways (10 papers). S Sakiyama is often cited by papers focused on Cancer Research and Treatments (18 papers), Virus-based gene therapy research (16 papers) and Cancer-related Molecular Pathways (10 papers). S Sakiyama collaborates with scholars based in Japan, United States and Canada. S Sakiyama's co-authors include Yohko Nakamura, Toshinori Ozaki, Keizo Takenaga, Akira Nakagawara, Takaki Hiwasa, Hajime Kageyama, Masatoshi Tagawa, Yoshie Hasegawa, H. Endo and Kenzo Tokunaga and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

S Sakiyama

65 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
S Sakiyama 875 378 237 175 167 66 1.3k
Doris A. Phelps 832 1.0× 359 0.9× 195 0.8× 142 0.8× 87 0.5× 36 1.3k
Harry W. Findley 1.0k 1.2× 635 1.7× 255 1.1× 120 0.7× 90 0.5× 54 1.8k
Jerzy Trojan 587 0.7× 185 0.5× 246 1.0× 224 1.3× 96 0.6× 62 1.1k
Lluís López-Barcons 739 0.8× 305 0.8× 186 0.8× 79 0.5× 82 0.5× 44 1.3k
Tatsuo Morimura 610 0.7× 348 0.9× 138 0.6× 68 0.4× 70 0.4× 46 1.2k
Abha Saxena 754 0.9× 282 0.7× 341 1.4× 75 0.4× 66 0.4× 32 1.3k
Wan-Ching Yen 908 1.0× 591 1.6× 232 1.0× 129 0.7× 67 0.4× 47 1.3k
Fang Zhao 757 0.9× 215 0.6× 363 1.5× 177 1.0× 44 0.3× 44 1.4k
Yuji Yaginuma 646 0.7× 424 1.1× 208 0.9× 122 0.7× 60 0.4× 51 1.2k
Susanne Meyer 752 0.9× 307 0.8× 133 0.6× 137 0.8× 72 0.4× 46 1.3k

Countries citing papers authored by S Sakiyama

Since Specialization
Citations

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

Fields of papers citing papers by S Sakiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Sakiyama

This figure shows the co-authorship network connecting the top 25 collaborators of S Sakiyama. A scholar is included among the top collaborators of S Sakiyama 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 S Sakiyama. S Sakiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026