Taisuke Harada

827 citations
54 papers · 590 · h-index 15

Impact in

Papers in

    • Advanced MRI Techniques and Applications 14
    • Advanced Neuroimaging Techniques and Applications 4
    • Radiomics and Machine Learning in Medical Imaging 3
    • MRI in cancer diagnosis 2
    • Cardiac Imaging and Diagnostics 2

Taisuke Harada

51 papers receiving 585 citations

Peers

Taisuke Harada
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 233
  • Otorhinolaryngology 41
  • Neurology 79
  • Health Informatics 5
  • Neurology 25
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Bas Jasperse Netherlands
George Zubal United States
Christian Rubbert Germany
Yangsean Choi South Korea
Chang Yueh Ho United States
Baris Kanber United Kingdom
Bundhit Tantiwongkosi United States
Kavous Firouznia Iran
Dewen Yang United States
Camilla Russo Italy
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Citations per field
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Citations per year

Countries citing papers authored by Taisuke Harada

Since Specialization
Citations

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

Fields of papers citing papers by Taisuke Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 202257
3 201537
4 201633
5 201526
6 201425
7 201424
8 201624
9 201723
10 201521
11 201719
12 201517
13 202216
14 201614
15 202414
16 201414
17 202312
18 201711
19 201410
20 202110

About Taisuke Harada

Taisuke Harada is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 54 papers that have together received 590 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (14 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Head and Neck Surgical Oncology (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), MRI in cancer diagnosis (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (233 citations), Otorhinolaryngology (41 citations), Neurology (79 citations), Health Informatics (5 citations) and Neurology (25 citations). Taisuke Harada has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Kohsuke Kudo, Noriyuki Fujima, Makoto Sasaki, Ikuko Uwano, Fumio Yamashita, Akihiro Homma, Hiroki Shirato, Hiroyuki Kameda, Khin Khin Tha and Satomi Higuchi. Their work appears in journals such as Magnetic Resonance in Medical Sciences, Magnetic Resonance Imaging, Journal of Magnetic Resonance Imaging, Radiographics and Journal of Stroke and Cerebrovascular 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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