Hiroyuki Miyoshi

13.0k citations
103 papers · 9.1k indexed · 3 hit papers · h-index 44
    • Pluripotent Stem Cells Research 27
    • CRISPR and Genetic Engineering 25
    • RNA Interference and Gene Delivery 19
    • Epigenetics and DNA Methylation 6
  • Genetics top 0.5%
    • Virus-based gene therapy research 30
  • Virology top 2%
    • HIV Research and Treatment 6
  • Biophysics top 0.5%
    • Immunotherapy and Immune Responses 7
    • Immune Cell Function and Interaction 7

Hiroyuki Miyoshi

103 papers receiving 9.0k citations

Hit Papers

Visualizing Spatiotemporal Dynamics of Multicellular Cel...1.6k199820262007201650010001.5k

Peers

Hiroyuki Miyoshi
Comparison fields: 5 of 140
  • Molecular Biology 6.5k
  • Developmental Neuroscience 365
  • Genetics 2.3k
  • Virology 346
  • Biophysics 387
Replace Boris Fehse with:
Boris Fehse Germany
Ophir Shalem United States
Manfred Gossen Germany
Neville E. Sanjana United States
Prashant Mali United States
Peter W. Andrews United Kingdom
Jason D. Buenrostro United States
Shuichi Yamada Japan
Linzhao Cheng United States
Stéphane Angers Canada
Hiroyuki Miyoshi relative to Boris Fehse Germany Boris Fehse's profile →
Citations per field
00.5×3.5×
Boris Fehse · 1×
Citations per year

Countries citing papers authored by Hiroyuki Miyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Miyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hiroyuki Miyoshi, 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 Hiroyuki Miyoshi Line = papers co-authored together Hiroyuki Miyoshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202211
2 202028
3 202021
4 2017109
5 2017131
6 201717
7 20168
8 201411
9 201341
10 201112
11 201013
12 200813
13 200811
14 200846
15 2007119
16 200726
17 200745
18 2006140
19 2005108
20 200563

About Hiroyuki Miyoshi

Hiroyuki Miyoshi is a scholar working on Developmental Neuroscience, Virology and Genetics, having authored 103 papers that have together received 9.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (30 papers), Pluripotent Stem Cells Research (27 papers), CRISPR and Genetic Engineering (25 papers), RNA Interference and Gene Delivery (19 papers), Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (7 papers), HIV Research and Treatment (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Molecular Biology (6.5k citations), Developmental Neuroscience (365 citations) and Genetics (2.3k citations). Hiroyuki Miyoshi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Inder M. Verma, Masayo Takahashi, Fred H. Gage, Ulrike Blömer, Atsushi Miyawaki, Asako Sakaue‐Sawano, Takeshi Imamura, Kiyoko Fukami, Hiroshi Kurokawa and Saori Kashiwagi. Their work appears in journals such as Nature, Science and Cell.

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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