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Japanese Journal of Radiology
H-index 15

Japanese Journal of Radiology

1867-1071

Published by: Springer

https://www.springer.com/journal/11604

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 2210 39 55 11

Additional Metrics

Number of Best Scientists*: 91
Documents by Best Scientists*: 115
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 53
SCIMAGO SJR: 0.757
Impact Factor: 4.1

Overview

Top Research Topics at Japanese Journal of Radiology?

The journal generally zeroes in on subjects such as Radiology, Radiation therapy, Nuclear medicine, Magnetic resonance imaging and Pathology. The research on Radiology tackled can also make contributions to studies in the areas of Surgery and Retrospective cohort study. The main emphasis of it is the research on Surgery, emphasizing the topic of Embolization.

In the journal, researchers investigate the Radiation therapy study as part of research in the field of Internal medicine. While Internal medicine is the focus of Japanese Journal of Radiology, it also provided insights into the studies of Gastroenterology, Oncology and Cardiology. Most of the Nuclear medicine studies addressed also intersect with Image quality.

The journal investigates Magnetic resonance imaging research which frequently intersects with Lesion.

  • Radiology (38.33%)
  • Radiation therapy (28.97%)
  • Nuclear medicine (17.79%)

What are the most cited papers published in the journal?

  • Neuroimaging findings of Zika virus infection: a review article. (138 citations)
  • Spectrum of Epstein-Barr virus-related diseases: a pictorial review (124 citations)
  • Deep learning with convolutional neural network in radiology (110 citations)

Research areas of the most cited articles at Japanese Journal of Radiology:

The journal articles are organized to address concerns in the fields of Radiology, Radiation therapy, Nuclear medicine, Magnetic resonance imaging and Pathology. Most of the works presented in the most cited papers deal with Radiology but they intersect with the subject of Surgery. The journal papers explore issues in Radiation therapy which can be linked to other research areas like Hepatocellular carcinoma, Carcinoma, Lung and Retrospective cohort study.

What topics the last edition of the journal is best known for?

  • Internal medicine
  • Surgery
  • Cancer

The previous edition focused in particular on these issues:

Japanese Journal of Radiology facilitates discussions on Radiation therapy, Nuclear medicine, Radiology, Magnetic resonance imaging and Internal medicine. The work on Radiation therapy tackled in it brings together disciplines like Cancer, Metastasis, Disease, Ablation and Stage (cooking). The journal holds forums on Nuclear medicine that merges themes from other disciplines such as Image quality, Dynamic contrast-enhanced MRI, Arterial phase and Receiver operating characteristic.

Japanese Journal of Radiology explores issues in Radiology which can be linked to other research areas like Retrospective cohort study, Pneumonia and Coronavirus disease 2019 (COVID-19). It focuses on Magnetic resonance imaging but the discussions also offer insight into other areas such as Lesion, Pathological, Cerebrospinal fluid and Carcinoma. While work presented in it provided substantial information on Internal medicine, it also covered topics in Gastroenterology, Oncology and Cardiology.

The most cited articles from the last journal are:

  • Imaging for central nervous system (CNS) interstitial fluidopathy: disorders with impaired interstitial fluid dynamics. (14 citations)
  • Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction. (7 citations)
  • Pulmonary vascular enlargement and lesion extent on computed tomography are correlated with COVID-19 disease severity. (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Japanese Journal of Radiology (based on the number of publications) are:

  • Hiroshi Honda (30 papers) absent at the last edition,
  • Yasuyuki Yamashita (29 papers) absent at the last edition,
  • Kazuo Awai (28 papers) absent at the last edition,
  • Osamu Matsui (26 papers) absent at the last edition,
  • Daisuke Utsunomiya (25 papers) published 3 papers at the last edition, 4 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Japanese Journal of Radiology (based on the number of publications) are:

  • University of Tokyo (43 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Kanazawa University (42 papers) published 2 papers at the last edition, 5 less than at the previous edition,
  • Kyushu University (40 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Osaka University (40 papers) published 7 papers at the last edition, 3 more than at the previous edition,
  • Kobe University (40 papers) published 3 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 10.53% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.30% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.84% of all publications and 43.14% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Further Study and Career Opportunities

The field of radiology spans various areas of study and applies to several fields of medicine. As this journal offers insightful information related to radiology, it would also be advantageous to learn about potential career opportunities that can be pursued within this field of study. Obtaining a professional qualification, like a radiology technician or a doctor specializing in radiology, can open doors to several opportunities within the medical field. For those interested in nursing roles, specific licensing requirements would need to be met. For instance, if you reside in Texas, you should research the specific texas nursing license requirements. Reading and contributing to publications like the Japanese Journal of Radiology not only allows individuals to remain updated with latest changes and developments in the field, but it also aids in expanding knowledge which can be essential for career growth. Whether you're starting your journey in medicine, looking to specialize, or an experienced practitioner aiming to keep track of recent trends, this association of extensive study, practical experience, and continuous learning can certainly enhance your profile as a medical professional.

Top Publications

  • 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

    (2021)
    128 Citations
  • Imaging for central nervous system (CNS) interstitial fluidopathy: disorders with impaired interstitial fluid dynamics.

    Toshiaki Taoka;Shinji Naganawa

    (2021)
    61 Citations
  • Diagnostic imaging guide for autoimmune pancreatitis

    Masaaki Takahashi;Yasunari Fujinaga;Kenji Notohara;Takashi Koyama

    (2020)
    36 Citations
  • Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography.

    Koichiro Yasaka;Hiroyuki Akai;Haruto Sugawara;Taku Tajima

    (2021)
    32 Citations
  • Subcategory classifications of Breast Imaging and Data System (BI-RADS) category 4 lesions on MRI

    Maya Honda;Masako Kataoka;Kosuke Kawaguchi;Mami Iima

    (2021)
    17 Citations
  • Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography

    (2021)
    16 Citations
  • Diffusion analysis of fluid dynamics with incremental strength of motion proving gradient (DANDYISM) to evaluate cerebrospinal fluid dynamics.

    Toshiaki Taoka;Hisashi Kawai;Toshiki Nakane;Takashi Abe

    (2021)
    16 Citations
  • High-resolution CT features distinguishing usual interstitial pneumonia pattern in chronic hypersensitivity pneumonitis from those with idiopathic pulmonary fibrosis.

    Tomoya Tateishi;Takeshi Johkoh;Fumikazu Sakai;Yasunari Miyazaki

    (2020)
    15 Citations
  • Four-dimensional quantitative analysis using FDG-PET in clinical oncology

    (2023)
    15 Citations
  • Detection of intracranial aneurysms using deep learning-based CAD system: usefulness of the scores of CNN’s final layer for distinguishing between aneurysm and infundibular dilatation

    (2022)
    14 Citations

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Best Scientists Contributing to This Journal