Japanese Journal of Radiology

Aims & Scope

Japanese Journal of Radiology is a peer-reviewed journal, officially published by the Japan Radiological Society.

The main purpose of the journal is to provide a forum for the publication of papers documenting recent advances and new developments in the field of radiology in medicine and biology.

The scope of Japanese Journal of Radiology encompasses but is not restricted to diagnostic radiology, interventional radiology, radiation oncology, nuclear medicine, radiation physics, and radiation biology.

Additionally, the journal covers technical and industrial innovations.

The journal welcomes original articles, technical notes, review articles, pictorial essays and letters to the editor.

The journal also provides announcements from the boards and the committees of the society.

Membership in the Japan Radiological Society is not a prerequisite for submission.

Contributions are welcomed from all parts of the world.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	4.1
2024	2.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.757

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	53

Journal Rank

Year	Value
2024	7301

Journal Citation Indicator

Year	Value
2024	1231

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Medicine, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Evaluation of glymphatic system activity with the diffusion MR technique: diffusion tensor image analysis along the perivascular space (DTI-ALPS) in Alzheimer’s disease cases

  Citation: 717

  Authors: Toshiaki, Yoshitaka, Hisashi, Toshiki, Kiwamu, Fumihiko, Toshifumi, Shinji

• Neuroimaging findings of Zika virus infection: a review article

  Citation: 312

  Authors: Mohammad, Elham, Andrea, Adriano N.

• Deep learning with convolutional neural network in radiology

  Citation: 311

  Authors: Koichiro, Hiroyuki, Akira, Shigeru, Osamu

• Fairness of artificial intelligence in healthcare: review and recommendations

  Citation: 302

  Authors: Daiju, Taichi, Shohei, Koji, Yasutaka, Rintaro, Yusuke, Taiki, Takeshi, Noriyuki, Fuminari, Masahiro, Kenji, Akira, Takahiro, Mariko, Tomoyuki, Shinji

• Reproducibility of diffusion tensor image analysis along the perivascular space (DTI-ALPS) for evaluating interstitial fluid diffusivity and glymphatic function: CHanges in Alps index on Multiple conditiON acquIsition eXperiment (CHAMONIX) study

  Citation: 188

  Authors: Toshiaki, Rintaro, Rei, Koji, Mayuko, Hisashi, Toshiki, Takashi, Kazushige, Junko, Shigeki, Shinji

• Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network

  Citation: 175

  Authors: Dongsheng, Weiqiang, Luc, Xiayu, Yue, Tao

• Improvement of image quality at CT and MRI using deep learning

  Citation: 170

  Authors: Toru, Yuko, Fuminari, Takeshi, Kazuo

• Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network

  Citation: 151

  Authors: Tomoyuki, Kazunori, Mio, Yuka, Leona, Mai, Goshi, Toshiyuki, Tsuyoshi, Ukihide

• Brain gadolinium deposition after administration of gadolinium-based contrast agents

  Citation: 144

  Authors: Tomonori, Hiroshi, Keiko, Kazuhiro, Shigeru

• Visualization of endolymphatic hydrops with MR imaging in patients with Ménière’s disease and related pathologies: current status of its methods and clinical significance

  Citation: 137

  Authors: Shinji, Tsutomu

---