Tomohisa Okada

11.5k citations
275 papers · 8.6k indexed · h-index 53
Topics
Advanced MRI Techniques and Applications (84 papers)MRI in cancer diagnosis (42 papers)Advanced Neuroimaging Techniques and Applications (37 papers)

In The Last Decade

Tomohisa Okada

265 papers receiving 8.4k citations

Peers

Tomohisa Okada
Comparison fields: 5 of 185
  • Cognitive Neuroscience 3.9k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Neurology 1.3k
  • Experimental and Cognitive Psychology 1.1k
  • Psychiatry and Mental health 988
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Countries citing papers authored by Tomohisa Okada

Since Specialization
Citations

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

Fields of papers citing papers by Tomohisa Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohisa Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohisa Okada. A scholar is included among the top collaborators of Tomohisa Okada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomohisa Okada. Tomohisa Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 8
5
Why We Should Report Colorimetric Data In Every Paper
0
6 2
7 15
8 31
9 45
10 79
11
Deep Brain Temperature Measurement by DWI Thermometry with Dual b-values : Volunteer Study
1
12
Improvement of automatic cardiac rest period determination for coronary MRA
2
13 75
14
Automatic cardiac rest period determination for coronary MRA
1
15
The Approach to Developmental Dyslexia - the Use of Functional MRI Studies
0
16 63
17 1
18 2
19 15
20 5

About Tomohisa Okada

Tomohisa Okada is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology, having authored 275 papers that have together received 8.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (84 papers), MRI in cancer diagnosis (42 papers) and Advanced Neuroimaging Techniques and Applications (37 papers). The work is most often cited by research in Cognitive Neuroscience (3.9k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Neurology (1.3k citations). Tomohisa Okada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Norihiro Sadato, Yoshiharu Yonekura, Manabu Honda, Kaori Togashi, Hidenao Fukuyama, Don H. Bark, Marc R. Mayberg, Takashi Hanakawa, Tetsuya Iidaka and Junji Konishi. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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