Akane Kamiya

402 citations
14 papers · 234 · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Immune Cell Function and Interaction
    • interferon and immune responses

Papers in

Akane Kamiya

12 papers receiving 230 citations

Peers

Akane Kamiya
Comparison fields: 5 of 55
  • Infectious Diseases 71
  • Immunology 45
  • Neurology 22
  • Rehabilitation 7
  • Applied Microbiology and Biotechnology 2
Replace Beatriz González Álvarez with:
Beatriz González Álvarez Spain
Anita Neroni Italy
Chaninan Kositkuljorn Thailand
Baku Oyama Japan
Gonzalo Segurado‐Miravalles Spain
Maria Thompson United States
Ana García-Soidán Spain
Claire K. Wingert United States
Hannah Toghill United Kingdom
Mirjam Voeller Germany
Akane Kamiya relative to Beatriz González Álvarez Spain Beatriz González Álvarez's profile →
Citations per field
00.5×1.5×2×2.3×
Beatriz González Álvarez · 1×
Citations per year

Countries citing papers authored by Akane Kamiya

Since Specialization
Citations

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

Fields of papers citing papers by Akane Kamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Akane Kamiya, 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 Akane Kamiya Line = papers co-authored together Akane Kamiya links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202269
2 202348
3 202231
4 202222
5 201717
6 201514
7 202513
8 20248
9 20244
10 20263
11 20253
12 20132
13 20200
14 20250

About Akane Kamiya

Akane Kamiya is a scholar working on Immunology, Infectious Diseases, Genetics, Molecular Biology and Clinical Biochemistry, having authored 14 papers that have together received 234 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), COVID-19 Clinical Research Studies (2 papers), Genetic Associations and Epidemiology (2 papers), Immune Cell Function and Interaction (2 papers), CRISPR and Genetic Engineering (1 paper), RNA modifications and cancer (1 paper), interferon and immune responses (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Infectious Diseases (71 citations), Immunology (45 citations), Neurology (22 citations), Rehabilitation (7 citations) and Applied Microbiology and Biotechnology (2 citations). Akane Kamiya has collaborated with scholars based in Japan, Australia and Hong Kong. Frequent co-authors include Hiroshi Tatsumi, Kentaro Kamiya, Satoshi Horiguchi, Gabor Sandor Ungvari, Min Deng, Defeng Wang, Yan Liang, Vincent Mok, Yang‐Kun Chen and Chiu‐Wing Winnie Chu. Their work appears in journals such as Nature Genetics, Nature, Frontiers in Aging Neuroscience, Scientific Reports and Journal of Stroke and Cerebrovascular Diseases.

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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