Ichiro Ikuta

1.1k citations
49 papers · 866 · h-index 13

Impact in

Papers in

Ichiro Ikuta

44 papers receiving 835 citations

Peers

Ichiro Ikuta
Comparison fields: 5 of 117
  • Health Informatics 65
  • Radiology, Nuclear Medicine and Imaging 229
  • Neurology 80
  • Neurology 93
  • Biological Psychiatry 12
Replace Marie‐Bénédicte Rougier with:
Marie‐Bénédicte Rougier France
Feixiong Cheng United States
Nicholas William Sterling United States
Katherine Jane Hewitt United Kingdom
Sarah J. MacEachern Canada
Andrew J. Barkmeier United States
Jesús Silva‐Rodríguez Spain
Ting Lei China
Vikram Venkatraghavan Netherlands
Jennifer Salazar United States
Ichiro Ikuta relative to Marie‐Bénédicte Rougier France Marie‐Bénédicte Rougier's profile →
Citations per field
00.5×1.7×
Marie‐Bénédicte Rougier · 1×
Citations per year

Countries citing papers authored by Ichiro Ikuta

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Ikuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 200980
3 201071
4 200765
5 201360
6 200959
7 200951
8 202038
9 201232
10 201331
11 202228
12 202316
13 202113
14 202213
15 202012
16 202012
17 202112
18 200710
19 20229
20 20229

About Ichiro Ikuta

Ichiro Ikuta is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Neurology, Neurology and Genetics, having authored 49 papers that have together received 866 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Radiation Dose and Imaging (7 papers), Radiology practices and education (5 papers), Brain Tumor Detection and Classification (5 papers), Medical Imaging and Analysis (5 papers), Medical Imaging Techniques and Applications (4 papers), Glioma Diagnosis and Treatment (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (65 citations), Radiology, Nuclear Medicine and Imaging (229 citations), Neurology (80 citations), Neurology (93 citations) and Biological Psychiatry (12 citations). Ichiro Ikuta has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Joaquı́n Jordán, María Francisca Galindo, Wendy R. Kates, Courtney P. Burnette, Ramin Khorasani, Katherine P. Andriole, Sergio Perez‐Alvarez, José‐Daniel Aroca‐Aguilar, Gemma Casadesús and Xiongwei Zhu. Their work appears in journals such as Academic Radiology, Radiology Artificial Intelligence, American Journal of Neuroradiology, Neuro-Oncology Advances and Radiology.

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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