Sachiko Kamakura

45 total papers · 3.0k total citations
33 papers, 1.7k citations indexed

About

Sachiko Kamakura is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Sachiko Kamakura has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Cell Biology and 8 papers in Immunology. Recurrent topics in Sachiko Kamakura's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Microtubule and mitosis dynamics (4 papers). Sachiko Kamakura is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Microtubule and mitosis dynamics (4 papers). Sachiko Kamakura collaborates with scholars based in Japan, United States and Russia. Sachiko Kamakura's co-authors include Eisuke Nishida, Tetsuo Moriguchi, Hideki Sumimoto, Norihisa Masuyama, Takeshi Yoshimatsu, Yukiko Gotoh, Koji Oishi, Masato Nakafuku, Takashi Ito and Satoru Yuzawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Sachiko Kamakura

32 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Sachiko Kamakura 1.2k 338 261 195 174 33 1.7k
Sergey V. Prykhozhij 1.0k 0.9× 350 1.0× 447 1.7× 132 0.7× 191 1.1× 36 1.8k
Boaz P. Levi 891 0.7× 250 0.7× 245 0.9× 127 0.7× 138 0.8× 18 1.6k
Keith A. Wharton 1.5k 1.2× 269 0.8× 226 0.9× 165 0.8× 260 1.5× 36 2.1k
Hisanori Kurooka 1.6k 1.3× 256 0.8× 277 1.1× 183 0.9× 126 0.7× 21 2.0k
Emily M. Hatch 1.6k 1.4× 618 1.8× 179 0.7× 148 0.8× 138 0.8× 20 2.0k
Christophe Houbron 1.4k 1.1× 186 0.6× 184 0.7× 116 0.6× 173 1.0× 24 2.0k
Núria de la Iglesia 1.5k 1.2× 398 1.2× 190 0.7× 396 2.0× 214 1.2× 27 2.3k
Pierre Close 1.5k 1.2× 323 1.0× 200 0.8× 305 1.6× 275 1.6× 44 2.0k
Peggy Janich 1.1k 0.9× 236 0.7× 124 0.5× 279 1.4× 118 0.7× 24 1.9k
Claire M. Schreiner 1.7k 1.4× 333 1.0× 309 1.2× 207 1.1× 121 0.7× 30 2.4k

Countries citing papers authored by Sachiko Kamakura

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Kamakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Kamakura

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