Hiroshi Kiyonari

19.5k citations
251 papers · 13.0k indexed · 3 hit papers · h-index 62

Impact in

Papers in

Hiroshi Kiyonari

243 papers receiving 12.9k citations

Hit Papers

Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis 2014 · 910 citations
9102009202620142020250500750

Peers

Hiroshi Kiyonari
Comparison fields: 5 of 158
  • Developmental Neuroscience 806
  • Cell Biology 2.3k
  • Biophysics 712
  • Molecular Biology 7.7k
  • Aging 158
Replace Masahito Ikawa with:
Masahito Ikawa Japan
Takaya Abe Japan
Sten Linnarsson Sweden
Lee L. Rubin United States
Kazuki Nakao Japan
Hitoshi Niwa Japan
Anna‐Katerina Hadjantonakis United States
Bosiljka Tasic United States
Akira Mizoguchi Japan
Kensaku Mizuno Japan
Hiroshi Kiyonari relative to Masahito Ikawa Japan Masahito Ikawa's profile →
Citations per field
00.5×2.7×
Masahito Ikawa · 1×
Citations per year

Countries citing papers authored by Hiroshi Kiyonari

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kiyonari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20231
4 202213
5 202178
6 20199
7 20190
8 201930
9 20198
10 201834
11 201719
12 201562
13 2013173
14 2012122
15
IL-33 is a crucial amplifier of innate rather than acquired immunity
Hit paper breakdown →
2010534
16 201062
17 2009131
18 200993
19 200960
20 2008181

About Hiroshi Kiyonari

Hiroshi Kiyonari is a scholar working on Developmental Neuroscience, Cell Biology, Aging, Molecular Biology and Cellular and Molecular Neuroscience, having authored 251 papers that have together received 13.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (27 papers), RNA Research and Splicing (22 papers), Pluripotent Stem Cells Research (21 papers), Congenital heart defects research (19 papers), Neurogenesis and neuroplasticity mechanisms (19 papers), CRISPR and Genetic Engineering (14 papers), Genetics and Neurodevelopmental Disorders (14 papers) and Microtubule and mitosis dynamics (13 papers). The work is most often cited by research in Developmental Neuroscience (806 citations), Cell Biology (2.3k citations), Biophysics (712 citations), Molecular Biology (7.7k citations) and Aging (158 citations). Hiroshi Kiyonari has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takaya Abe, Shinichi Aizawa, Go Shioi, Kazuki Nakao, Hiroshi Sasaki, Noriyuki Nishioka, Fumio Matsuzaki, Mitsunori Ota, Ken‐ichi Inoue and Hiroki R. Ueda. Their work appears in journals such as Scientific Reports, Development, Proceedings of the National Academy of Sciences, Nature Communications and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026