Rika Sasaki

52 total papers · 680 total citations
34 papers, 523 citations indexed

About

Rika Sasaki is a scholar working on Cancer Research, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rika Sasaki has authored 34 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 9 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rika Sasaki's work include Neuroscience and Neuropharmacology Research (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Anesthesia and Neurotoxicity Research (5 papers). Rika Sasaki is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Anesthesia and Neurotoxicity Research (5 papers). Rika Sasaki collaborates with scholars based in Japan, Canada and United States. Rika Sasaki's co-authors include Nancy Lowe, Alessandro Casini, Leonore M. DeCarli, Charles S. Lieber, Maria A. Leo, Cho‐il Kim, Shingo Kishi, Hiroki Kuniyasu, Rina Fujiwara‐Tani and Koki Hirota and has published in prestigious journals such as Hepatology, International Journal of Molecular Sciences and Anesthesiology.

In The Last Decade

Rika Sasaki

30 papers receiving 511 citations

Author Peers

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

Author Last Decade Papers Cites
Rika Sasaki 143 142 138 122 67 34 523
Sriram Ravindran 134 0.9× 219 1.5× 33 0.2× 48 0.4× 115 1.7× 33 531
Vesna Dragutinović 50 0.3× 128 0.9× 73 0.5× 35 0.3× 26 0.4× 22 472
Terumasa Hashimoto 53 0.4× 228 1.6× 82 0.6× 24 0.2× 94 1.4× 35 601
Bin Wu 58 0.4× 198 1.4× 90 0.7× 62 0.5× 23 0.3× 27 554
Kazuyasu Maruyama 43 0.3× 230 1.6× 218 1.6× 45 0.4× 35 0.5× 27 532
Kenji Miyamoto 36 0.3× 155 1.1× 119 0.9× 32 0.3× 42 0.6× 25 589
Sheng‐Chiang Su 28 0.2× 110 0.8× 113 0.8× 34 0.3× 32 0.5× 35 572
Chenyu Fan 46 0.3× 164 1.2× 161 1.2× 30 0.2× 22 0.3× 26 553
Lianyou Zhao 40 0.3× 190 1.3× 98 0.7× 121 1.0× 17 0.3× 26 577
Xuan Wang 93 0.7× 165 1.2× 92 0.7× 70 0.6× 11 0.2× 22 521

Countries citing papers authored by Rika Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Rika Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Sasaki

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