Taiki Aoshi

4.8k citations
78 papers · 4.0k · h-index 32

Impact in

  • Immunology top 1%
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Inflammation biomarkers and pathways
    • interferon and immune responses
    • T-cell and B-cell Immunology
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Immunotherapy and Immune Responses 30
    • Immune Response and Inflammation 23
    • Immune Cell Function and Interaction 16
    • interferon and immune responses 12
    • T-cell and B-cell Immunology 11

Taiki Aoshi

75 papers receiving 3.9k citations

Peers

Taiki Aoshi
Comparison fields: 5 of 122
  • Immunology 2.2k
  • Neurology 487
  • Molecular Medicine 123
  • Infectious Diseases 391
  • Microbiology 112
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Taiki Aoshi relative to Timothy Luke Denning United States Timothy Luke Denning's profile →
Citations per field
00.5×2×2.7×
Timothy Luke Denning · 1×
Citations per year

Countries citing papers authored by Taiki Aoshi

Since Specialization
Citations

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

Fields of papers citing papers by Taiki Aoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Taiki Aoshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Taiki Aoshi Line = papers co-authored together Taiki Aoshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006579
2 2009272
3 2002229
4 2011151
5 2011141
6 2014130
7 2012127
8 2010126
9 2010126
10 2011124
11 2014124
12 2016117
13 2014112
14 2008106
15 201196
16 201678
17 201566
18 201764
19 200960
20 201257

About Taiki Aoshi

Taiki Aoshi is a scholar working on Immunology, Biotechnology, Epidemiology, Infectious Diseases and Virology, having authored 78 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (30 papers), Immune Response and Inflammation (23 papers), Immune Cell Function and Interaction (16 papers), interferon and immune responses (12 papers), T-cell and B-cell Immunology (11 papers), vaccines and immunoinformatics approaches (9 papers), Influenza Virus Research Studies (7 papers) and Malaria Research and Control (5 papers). The work is most often cited by research in Immunology (2.2k citations), Neurology (487 citations), Molecular Medicine (123 citations), Infectious Diseases (391 citations) and Microbiology (112 citations). Taiki Aoshi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Ken J. Ishii, Mark J. Miller, Kouji Kobiyama, Yukio Koide, Isaiah R. Turnbull, Marco Colonna, Shizuo Akira, Toshi Nagata, Laura M. Piccio and Susan Gilfillan. Their work appears in journals such as Vaccine, PLoS ONE, The Journal of Immunology, Infection and Immunity and Journal of Controlled Release.

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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