Susumu Mori

48.9k citations
466 papers · 37.0k indexed · 11 hit papers · h-index 91

Susumu Mori

441 papers receiving 36.5k citations

Hit Papers

Diffusion MRI fiber tra...341199520262005201550010001.5k2.0k2.5k

Peers

Susumu Mori
Comparison fields: 5 of 194
  • Computational Mathematics 688
  • Radiology, Nuclear Medicine and Imaging 23.4k
  • Cognitive Neuroscience 9.5k
  • Pediatrics, Perinatology and Child Health 7.8k
  • Psychiatry and Mental health 4.7k
Replace Gareth J. Barker with:
Gareth J. Barker United Kingdom
Peter C.M. van Zijl United States
Derek K. Jones United Kingdom
Heidi Johansen‐Berg United Kingdom
James C. Gee United States
Timothy E.J. Behrens United Kingdom
Peter J. Basser United States
Ferenc A. Jólesz United States
Mark W. Woolrich United Kingdom
Andrew L. Alexander United States
Susumu Mori relative to Gareth J. Barker United Kingdom Gareth J. Barker's profile →
Citations per field
00.5×2.7×
Gareth J. Barker · 1×
Citations per year

Countries citing papers authored by Susumu Mori

Since Specialization
Citations

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

Fields of papers citing papers by Susumu Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202316
2 20231
3 202228
4 202022
5 20207
6 201910
7 201925
8 201516
9 201532
10 2013105
11 2013133
12 201310
13 201245
14
The influence of sport-specific experiences during the psychological refractory period in the Go/Nogo double stimulation task.
20101
15 2009155
16 2007297
17 200747
18
Switched-capacitor amplifier and applications
19851
19
Radial distribution of bubbles in the cylindrical fluidized-bed
19843
20
A wideband all-digital phase-locked loop
19752

About Susumu Mori

Susumu Mori is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Developmental Neuroscience, having authored 466 papers that have together received 37.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (210 papers), Advanced MRI Techniques and Applications (116 papers), Fetal and Pediatric Neurological Disorders (62 papers), Functional Brain Connectivity Studies (61 papers), MRI in cancer diagnosis (32 papers), Advanced Power Amplifier Design (30 papers), Neonatal and fetal brain pathology (30 papers) and Cerebral Palsy and Movement Disorders (26 papers). The work is most often cited by research in Computational Mathematics (688 citations), Radiology, Nuclear Medicine and Imaging (23.4k citations) and Cognitive Neuroscience (9.5k citations). Susumu Mori has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Peter C.M. van Zijl, Jiangyang Zhang, Barbara J. Crain, Hangyi Jiang, V. P. Chacko, Michael I. Miller, Kenichi Oishi, Andréia V. Faria, Kegang Hua and Hao Huang.

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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