Satoshi Fukuda

10.2k citations
89 papers · 1.9k indexed · 1 hit paper · h-index 18

Satoshi Fukuda

82 papers receiving 1.8k citations

Hit Papers

GABAergic Excitation Promotes Neuronal Differentiation in...5922005202620122019100200300400500

Peers

Satoshi Fukuda
Comparison fields: 5 of 141
  • Developmental Neuroscience 749
  • Cellular and Molecular Neuroscience 630
  • Neurology 283
  • Media Technology 126
  • Sensory Systems 65
Replace Yuhua Zou with:
Yuhua Zou China
Xiaopei Liu China
Elisabetta Pagani Italy
G. David Lange United States
Elizabeth Bullitt United States
Jonathan Nissanov United States
Anan Li China
Dorothea Buck Germany
Ali Ertürk Germany
Zhuhao Wu United States
Satoshi Fukuda relative to Yuhua Zou China Yuhua Zou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Satoshi Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20214
3 20211
4 20208
5 20202
6 202013
7 201915
8 201810
9 20163
10 201548
11 20120
12
Simulation study of relations between design parameters and velocity measurement accuracy in the lunar landing radar
20081
13
GABAergic Excitation Promotes Neuronal Differentiation in Adult Hippocampal Progenitor Cellsbreakdown →
2005592
14 20040
15
Super-Kamiokande-Iでの太陽からの ν e の探査
20032
16 200111
17 20012
18 19993
19
Comparative Studies on Bone Growth in Experimental Animals:1. Bone Growth and Ossification in Mice
19773
20 19671

About Satoshi Fukuda

Satoshi Fukuda is a scholar working on Equine, Neurology and Developmental Neuroscience, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (10 papers), Particle accelerators and beam dynamics (8 papers), Burn Injury Management and Outcomes (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Particle Accelerators and Free-Electron Lasers (6 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (6 papers), Cardiac Arrest and Resuscitation (6 papers) and Sepsis Diagnosis and Treatment (6 papers). The work is most often cited by research in Developmental Neuroscience (749 citations), Cellular and Molecular Neuroscience (630 citations) and Neurology (283 citations). Satoshi Fukuda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Tatsuhiro Hisatsune, Yusuke Tozuka, H. Hirosawa, Takashi Namba, Tatsunori Seki, Yusei Miyamoto, Fusao Kato, Masahiro Yamaguchi, Yukio Inuyama and Perenlei Enkhbaatar. Their work appears in journals such as Physical Review Letters, Circulation and Neuron.

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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