Ryu Yashiro

503 citations
24 papers · 336 · h-index 10

Impact in

Papers in

    • Extracellular vesicles in disease 9
    • Circular RNAs in diseases 3
    • RNA Interference and Gene Delivery 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • MicroRNA in disease regulation 7

Ryu Yashiro

23 papers receiving 332 citations

Peers

Ryu Yashiro
Comparison fields: 5 of 95
  • Cancer Research 63
  • Health Informatics 5
  • Molecular Biology 197
  • Genetics 17
  • Rehabilitation 8
Replace Kin Chan with:
Kin Chan Canada
Alejandro La Greca Argentina
Yizhi Liu China
Jae Ho Lee South Korea
Dae Cheol Kim South Korea
Ariel Waisman Argentina
Andreas Mamilos Germany
Eun Jung Kwon South Korea
Maria Lioumi United Kingdom
Ryu Yashiro relative to Kin Chan Canada Kin Chan's profile →
Citations per field
00.5×2.7×
Kin Chan · 1×
Citations per year

Countries citing papers authored by Ryu Yashiro

Since Specialization
Citations

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

Fields of papers citing papers by Ryu Yashiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ryu Yashiro, 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 Ryu Yashiro Line = papers co-authored together Ryu Yashiro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202279
2 201848
3 202338
4 202225
5 202422
6 202220
7 202219
8 202015
9 202211
10 202210
11 20249
12 20248
13 20256
14 20235
15 20225
16 20243
17 20233
18 20253
19 20252
20 20232

About Ryu Yashiro

Ryu Yashiro is a scholar working on Molecular Biology, Cancer Research, Immunology, Infectious Diseases and Oncology, having authored 24 papers that have together received 336 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (3 papers), RNA Interference and Gene Delivery (3 papers), T-cell and B-cell Immunology (2 papers), Computational Drug Discovery Methods (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Cancer Research (63 citations), Health Informatics (5 citations), Molecular Biology (197 citations), Genetics (17 citations) and Rehabilitation (8 citations). Ryu Yashiro has collaborated with scholars based in Japan. Frequent co-authors include Yasunari Matsuzaka, Haruhiko Siomi, Mikiko C. Siomi, Lumi Negishi, Kazumichi M. Nishida, Soichiro Yamanaka, Takayoshi Inoue, Daisuke Yamada, Masayuki Sekiguchi and Shouta Miyatake. Their work appears in journals such as International Journal of Molecular Sciences, Current Issues in Molecular Biology, Vaccines, Membranes and Cell Reports.

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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