Reiko Akakura

9 total papers · 789 total citations
7 papers, 607 citations indexed

About

Reiko Akakura is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Reiko Akakura has authored 7 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Reiko Akakura's work include Signaling Pathways in Disease (2 papers), Phagocytosis and Immune Regulation (2 papers) and RNA Interference and Gene Delivery (1 paper). Reiko Akakura is often cited by papers focused on Signaling Pathways in Disease (2 papers), Phagocytosis and Immune Regulation (2 papers) and RNA Interference and Gene Delivery (1 paper). Reiko Akakura collaborates with scholars based in United States, China and France. Reiko Akakura's co-authors include Stephen C. Winans, Raymond B. Birge, Shin Akakura, Matthew L. Albert, Jong‐Il Kim, Sukhwinder Singh, Brian Varnum, Thaddeus C. George, Yi Wu and Veera D’Mello and has published in prestigious journals such as Journal of Biological Chemistry, Neuroscience and Cell Host & Microbe.

In The Last Decade

Reiko Akakura

7 papers receiving 596 citations

Author Peers

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

Author Last Decade Papers Cites
Reiko Akakura 313 286 116 71 51 7 607
Elisabeth G. Foerster 233 0.7× 300 1.0× 45 0.4× 64 0.9× 44 0.9× 9 627
Adrianne Burgess 217 0.7× 238 0.8× 87 0.8× 81 1.1× 32 0.6× 4 579
Cemalettin Bekpen 192 0.6× 224 0.8× 42 0.4× 106 1.5× 33 0.6× 14 596
Allison W. Roberts 339 1.1× 274 1.0× 44 0.4× 53 0.7× 113 2.2× 11 693
Antje Wirtz 263 0.8× 225 0.8× 30 0.3× 94 1.3× 44 0.9× 6 604
Jingmei Lin 345 1.1× 328 1.1× 28 0.2× 68 1.0× 23 0.5× 7 654
Marina G. Smirnova 126 0.4× 210 0.7× 85 0.7× 32 0.5× 23 0.5× 10 553
T.W. Liang 187 0.6× 284 1.0× 90 0.8× 46 0.6× 27 0.5× 5 655
Matheus Oliveira 187 0.6× 280 1.0× 83 0.7× 41 0.6× 39 0.8× 12 586
K Hong 218 0.7× 240 0.8× 53 0.5× 23 0.3× 33 0.6× 13 672

Countries citing papers authored by Reiko Akakura

Since Specialization
Citations

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

Fields of papers citing papers by Reiko Akakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reiko Akakura

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