Shin Akakura

47 total papers · 905 total citations
22 papers, 751 citations indexed

About

Shin Akakura is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Shin Akakura has authored 22 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Cell Biology. Recurrent topics in Shin Akakura's work include Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (3 papers) and Sulfur Compounds in Biology (3 papers). Shin Akakura is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (3 papers) and Sulfur Compounds in Biology (3 papers). Shin Akakura collaborates with scholars based in United States and Japan. Shin Akakura's co-authors include Irwin H. Gelman, Reiko Sanokawa‐Akakura, Raymond B. Birge, Siamak Tabibzadeh, Sukhwinder Singh, Elena A. Ostrakhovitch, Matthew L. Albert, Jong‐Il Kim, Reiko Akakura and Scott Goodwin and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Shin Akakura

22 papers receiving 737 citations

Author Peers

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

Author Last Decade Papers Cites
Shin Akakura 385 251 132 92 85 22 751
Ignacio Fajardo 323 0.8× 389 1.5× 124 0.9× 63 0.7× 82 1.0× 19 744
Janna Nousbeck 343 0.9× 177 0.7× 69 0.5× 152 1.7× 29 0.3× 20 695
J Wessendorf 249 0.6× 313 1.2× 172 1.3× 40 0.4× 62 0.7× 12 877
Hyacinth Sterling 621 1.6× 240 1.0× 98 0.7× 68 0.7× 20 0.2× 20 884
Chiya Kosaka 488 1.3× 129 0.5× 140 1.1× 113 1.2× 43 0.5× 28 778
William Gillespie 393 1.0× 181 0.7× 40 0.3× 61 0.7× 37 0.4× 20 666
Noémi Polgár 384 1.0× 105 0.4× 41 0.3× 141 1.5× 44 0.5× 30 744
Jeannie M.F. Ragab-Thomas 463 1.2× 185 0.7× 60 0.5× 52 0.6× 25 0.3× 22 714
Anetta Ptasinska 477 1.2× 93 0.4× 187 1.4× 31 0.3× 28 0.3× 29 860
J. E. De Vries 254 0.7× 192 0.8× 104 0.8× 38 0.4× 65 0.8× 21 673

Countries citing papers authored by Shin Akakura

Since Specialization
Citations

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

Fields of papers citing papers by Shin Akakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Akakura

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