Yuki Sakakura

12 total papers · 1.1k total citations
10 papers, 879 citations indexed

About

Yuki Sakakura is a scholar working on Biochemistry, Surgery and Molecular Biology. According to data from OpenAlex, Yuki Sakakura has authored 10 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biochemistry, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Yuki Sakakura's work include Drug Transport and Resistance Mechanisms (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Sulfur Compounds in Biology (2 papers). Yuki Sakakura is often cited by papers focused on Drug Transport and Resistance Mechanisms (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Sulfur Compounds in Biology (2 papers). Yuki Sakakura collaborates with scholars based in Japan and United States. Yuki Sakakura's co-authors include Nobuo Makino, Shiro Bannai, Hideyo Sato, Michiko Tamba, Fumihiro Sugiyama, Ken-ichi Yagami, Satoru Takahashi, Takashi Moriguchi, Akimitsu Takahashi and Hirohito Sone and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Yuki Sakakura

10 papers receiving 854 citations

Author Peers

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

Author Last Decade Papers Cites
Yuki Sakakura 447 202 179 151 116 10 879
Kanako Sato 608 1.4× 226 1.1× 150 0.8× 166 1.1× 33 0.3× 16 969
P. Kölle 555 1.2× 145 0.7× 297 1.7× 237 1.6× 56 0.5× 14 919
Kazumi Kuriyama-Matsumura 563 1.3× 283 1.4× 158 0.9× 164 1.1× 26 0.2× 7 913
Yoshiro Kayanoki 370 0.8× 126 0.6× 71 0.4× 64 0.4× 113 1.0× 15 882
Rui-Ming Liu 372 0.8× 152 0.8× 226 1.3× 103 0.7× 41 0.4× 14 844
Ryan T. Dackor 297 0.7× 279 1.4× 115 0.6× 51 0.3× 61 0.5× 18 859
Mark F. Lawson 490 1.1× 135 0.7× 118 0.7× 136 0.9× 55 0.5× 12 991
Surendar Tadi 453 1.0× 101 0.5× 177 1.0× 224 1.5× 54 0.5× 11 812
Danijela Đokić 578 1.3× 61 0.3× 173 1.0× 196 1.3× 66 0.6× 16 938
Haiyan Shan 412 0.9× 269 1.3× 48 0.3× 111 0.7× 55 0.5× 26 838

Countries citing papers authored by Yuki Sakakura

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Sakakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Sakakura

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