Tomoki Arichi

6.4k citations
86 papers · 3.7k · h-index 30

Impact in

Papers in

Tomoki Arichi

81 papers receiving 3.6k citations

Peers

Tomoki Arichi
Comparison fields: 5 of 129
  • Pediatrics, Perinatology and Child Health 2.1k
  • Cognitive Neuroscience 1.5k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Developmental Neuroscience 74
  • Pharmacy 77
Replace Gareth Ball with:
Gareth Ball United Kingdom
Christopher D. Smyser United States
Nazakat Merchant United Kingdom
Matthew Allin United Kingdom
Ulrika Ådén Sweden
Lana Vasung United States
Nora Tusor United Kingdom
Deanne K. Thompson Australia
Douglas Dean United States
Cristina Borradori-Tolsa Switzerland
Tomoki Arichi relative to Gareth Ball United Kingdom Gareth Ball's profile →
Citations per field
00.5×1.5×
Gareth Ball · 1×
Citations per year

Countries citing papers authored by Tomoki Arichi

Since Specialization
Citations

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

Fields of papers citing papers by Tomoki Arichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010441
2 2014268
3 2011247
4 2016204
5 2012188
6 2015187
7 2012154
8 2015149
9 2010140
10 2015129
11 200989
12 201584
13 201179
14 201279
15 201377
16 202172
17 201568
18 201766
19 201458
20 201855

About Tomoki Arichi

Tomoki Arichi is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Epidemiology, having authored 86 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (43 papers), Functional Brain Connectivity Studies (25 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Advanced MRI Techniques and Applications (14 papers), Atomic and Subatomic Physics Research (11 papers), Fetal and Pediatric Neurological Disorders (9 papers), Infant Development and Preterm Care (9 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (2.1k citations), Cognitive Neuroscience (1.5k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Developmental Neuroscience (74 citations) and Pharmacy (77 citations). Tomoki Arichi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include A. David Edwards, Serena J. Counsell, Nazakat Merchant, Paul Aljabar, Gareth Ball, Nora Tusor, Daniel Rueckert, Valentina Doria, Joseph V. Hajnal and Mary Rutherford. Their work appears in journals such as NeuroImage, Cerebral Cortex, Proceedings of the National Academy of Sciences, Developmental Cognitive Neuroscience and Human Brain Mapping.

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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