Takuya Toyonaga

3.1k citations
95 papers · 1.8k indexed · 2 hit papers · h-index 21

Takuya Toyonaga

88 papers receiving 1.7k citations

Hit Papers

Synaptic density and cognitive performance ...117201820262020202350100150200250

Peers

Takuya Toyonaga
Comparison fields: 5 of 95
  • Biological Psychiatry 98
  • Cellular and Molecular Neuroscience 644
  • Radiology, Nuclear Medicine and Imaging 544
  • Neurology 191
  • Physiology 595
Replace Ming-Kai Chen with:
Ming-Kai Chen United States
Katarina Varnäs Sweden
Yoko Ikoma Japan
Takashi Okauchi Japan
Jeih-San Liow United States
Zsolt Cselényi Sweden
Claire Leroy France
Olivier Barret United States
Robert A. Comley United States
Ryuichi Harada Japan
Takuya Toyonaga relative to Ming-Kai Chen United States Ming-Kai Chen's profile →
Citations per field
00.5×1.5×1.8×
Ming-Kai Chen · 1×
Citations per year

Countries citing papers authored by Takuya Toyonaga

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Toyonaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 20243
6 20242
7 20242
8 202312
9 20238
10 20231
11 20231
12 20231
13 20222
14 20223
15 202212
16 202172
17 202161
18 202119
19 202022
20 201932

About Takuya Toyonaga

Takuya Toyonaga is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (41 papers), Advanced MRI Techniques and Applications (22 papers), Alzheimer's disease research and treatments (21 papers), Neuroscience and Neuropharmacology Research (20 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Functional Brain Connectivity Studies (16 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Dementia and Cognitive Impairment Research (8 papers). The work is most often cited by research in Biological Psychiatry (98 citations), Cellular and Molecular Neuroscience (644 citations) and Radiology, Nuclear Medicine and Imaging (544 citations). Takuya Toyonaga has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Richard E. Carson, Mika Naganawa, Yiyun Huang, Nabeel Nabulsi, Sjoerd J. Finnema, Adam P. Mecca, Christopher H. van Dyck, Yihuan Lu, Jim Ropchan and Amy F.T. Arnsten. Their work appears in journals such as PLoS ONE, NeuroImage and Clinical Infectious 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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