Kaoru Akita

26 total papers · 1.1k total citations
26 papers, 900 citations indexed

About

Kaoru Akita is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Kaoru Akita has authored 26 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Immunology and 7 papers in Cell Biology. Recurrent topics in Kaoru Akita's work include Glycosylation and Glycoproteins Research (19 papers), Galectins and Cancer Biology (10 papers) and Proteoglycans and glycosaminoglycans research (5 papers). Kaoru Akita is often cited by papers focused on Glycosylation and Glycoproteins Research (19 papers), Galectins and Cancer Biology (10 papers) and Proteoglycans and glycosaminoglycans research (5 papers). Kaoru Akita collaborates with scholars based in Japan, Germany and United States. Kaoru Akita's co-authors include Hiroshi Nakada, Munetoyo Toda, Mizue Inoue, Akiko Ishida, Alexander von Holst, Andréas Faissner, Takeomi Murata, Masakazu Yashiro, Kosei Hirakawa and Tadahisa Mikami and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Kaoru Akita

26 papers receiving 890 citations

Author Peers

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

Author Last Decade Papers Cites
Kaoru Akita 639 368 164 163 79 26 900
Teruo Miyauchi 811 1.3× 368 1.0× 150 0.9× 189 1.2× 36 0.5× 17 1.0k
Guichao Zeng 796 1.2× 271 0.7× 198 1.2× 74 0.5× 81 1.0× 27 913
Jerry Di Salvo 514 0.8× 164 0.4× 106 0.6× 186 1.1× 76 1.0× 28 967
Jonathan Rios‐Doria 388 0.6× 263 0.7× 125 0.8× 393 2.4× 36 0.5× 22 937
In-Hoo Kim 600 0.9× 234 0.6× 75 0.5× 193 1.2× 55 0.7× 22 1.0k
Patricia A. Zipfel 595 0.9× 169 0.5× 141 0.9× 283 1.7× 23 0.3× 21 1.0k
Brigitte Hémon 575 0.9× 138 0.4× 116 0.7× 216 1.3× 81 1.0× 28 894
Réda Hadj-Slimane 479 0.7× 194 0.5× 70 0.4× 211 1.3× 45 0.6× 19 779
P M Blumberg 582 0.9× 233 0.6× 103 0.6× 121 0.7× 39 0.5× 13 800
Robert Kiss 370 0.6× 166 0.5× 76 0.5× 142 0.9× 42 0.5× 26 714

Countries citing papers authored by Kaoru Akita

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Akita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Akita

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