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Magnetic Resonance in Medical Sciences
H-index 16

Magnetic Resonance in Medical Sciences

1347-3182

Published by: Japan Society of Magnetic Resonance in Medicine

https://www.jsmrm.jp/modules/mrms/index.php?content_id=1

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 1860 29 55 14

Additional Metrics

Number of Best Scientists*: 59
Documents by Best Scientists*: 81
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 50
SCIMAGO SJR: 0.781
Impact Factor: 3.2

Overview

Top Research Topics at Magnetic Resonance in Medical Sciences?

Magnetic Resonance in Medical Sciences focuses largely on the fields of Magnetic resonance imaging, Nuclear medicine, Radiology, Mr imaging and Pathology. In particular, the Magnetic resonance imaging works presented emphasize discussions on Diffusion MRI. The journal connects the study in Diffusion MRI with the closely related area of Effective diffusion coefficient.

The work on Nuclear medicine tackled in Magnetic Resonance in Medical Sciences brings together disciplines like Fluid-attenuated inversion recovery, Cerebrospinal fluid, Flip angle and Receiver operating characteristic. It addresses concerns in Radiology which are intertwined with other disciplines, such as Differential diagnosis and Lesion. The research on Endolymphatic hydrops discussed in it draws on the closely related field of Perilymph.

It explores research in Imaging phantom and the adjacent study of Biomedical engineering.

  • Magnetic resonance imaging (54.34%)
  • Nuclear medicine (31.15%)
  • Radiology (27.59%)

What are the most cited papers published in the journal?

  • ADC Mapping of Benign and Malignant Breast Tumors (282 citations)
  • MR imaging in patients with suspected liver metastases: value of liver-specific contrast agent Gd-EOB-DTPA. (227 citations)
  • MR Tractography : A Review of Its Clinical Applications (218 citations)

Research areas of the most cited articles at Magnetic Resonance in Medical Sciences:

The journal articles mainly deal with areas of study such as Magnetic resonance imaging, Nuclear medicine, Radiology, Diffusion MRI and Effective diffusion coefficient. The works on Magnetic resonance imaging tackled in the most cited articles bring together disciplines like Endolymphatic hydrops, Perilymph and Pathology. In addition to Nuclear medicine research, the published papers aim to explore topics under Differential diagnosis, Malignancy, Carcinoma and Cerebrospinal fluid.

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

  • Internal medicine
  • Magnetic resonance imaging
  • Radiology

The previous edition focused in particular on these issues:

The journal was organized to reinforce research efforts on Nuclear medicine, Magnetic resonance imaging, Diffusion MRI, Effective diffusion coefficient and Mr imaging. It explores topics in Nuclear medicine which can be helpful for research in disciplines like Image quality, Cerebrospinal fluid, Contrast (vision), Endolymphatic hydrops and Receiver operating characteristic. Magnetic Resonance in Medical Sciences focuses on Endolymphatic hydrops but sometimes tackles the closely related topic of Perilymph which is concerned with Endolymph.

The field of Radiology is the anchor for the Magnetic resonance imaging studies presented in it. Diffusion MRI research featured in it incorporates concerns from various other topics such as Voxel and Biomedical engineering. The concepts on Effective diffusion coefficient presented in the journal can also apply to other research fields, including Spin echo, Lumbar and Pathology.

The most cited articles from the last journal are:

  • T 2 -FLAIR Mismatch Sign Is Caused by Long T 1 and T 2 of IDH-mutant, 1p19q Non-codeleted Astrocytoma. (7 citations)
  • MR Imaging of Endolymphatic Hydrops: Utility of iHYDROPS-Mi2 Combined with Deep Learning Reconstruction Denoising. (6 citations)
  • Accelerated Acquisition of High-resolution Diffusion-weighted Imaging of the Brain with a Multi-shot Echo-planar Sequence: Deep-learning-based Denoising. (6 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 Magnetic Resonance in Medical Sciences (based on the number of publications) are:

  • Shinji Naganawa (74 papers) published 11 papers at the last edition the same number as at the previous edition,
  • Hisashi Kawai (45 papers) published 6 papers at the last edition, 4 more than at the previous edition,
  • Michihiko Sone (41 papers) published 7 papers at the last edition, 4 more than at the previous edition,
  • Shigeki Aoki (40 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Toshiaki Taoka (29 papers) published 7 papers at the last edition, 2 more 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 Magnetic Resonance in Medical Sciences (based on the number of publications) are:

  • Nagoya University (84 papers) published 11 papers at the last edition the same number as at the previous edition,
  • University of Tokyo (63 papers) published 8 papers at the last edition, 5 more than at the previous edition,
  • Osaka University (46 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Philips (37 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Kyoto University (36 papers) published 8 papers at the last edition, 7 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, 9.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 54.43% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.66% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.39% of all publications and 21.52% 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.

Potential Career Paths in Medical Sciences

While the journal of Magnetic Resonance in Medical Sciences covers a vast range of medical research, one key aspect that could potentially enrich this content is an overview of the career opportunities into which insights from these research studies can be applied. Specifically, readers may find it useful to explore professional paths that require a profound understanding of topics like Magnetic Resonance Imaging (MRI) and Radiology. For instance, a career in nursing could be underpinned by an in-depth knowledge in these subjects. In this profession, understanding MRI and Radiology could yield critical competencies for interpreting medical imaging data to support diagnostic processes. A particularly interesting path may be to consider becoming a Registered Nurse in Kentucky. Learn the steps on how to become a registered nurse in kentucky online. By fully grasping the insights from Magnetic Resonance in Medical Sciences research, healthcare professionals can elevate their practice and deliver a higher quality of care to their patients. It is important to note that a career in healthcare is not the only route. Scholars and enthusiasts can also consider careers in academic research or medical technology—a field where advancements like MRI machines and imaging techniques are conceptualized and developed. Ultimately, the applications of knowledge in Magnetic Resonance are vast, paving the way for numerous fulfilling career paths.

Top Publications

  • Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers.

    Masafumi Kidoh;Kensuke Shinoda;Mika Kitajima;Kenzo Isogawa

    (2020)
    190 Citations
  • The Glymphatic System: A Review of the Challenges in Visualizing its Structure and Function with MR Imaging

    Shinji Naganawa;Toshiaki Taoka

    (2020)
    57 Citations
  • The Space between the Pial Sheath and the Cortical Venous Wall May Connect to the Meningeal Lymphatics

    Shinji Naganawa;Rintaro Ito;Toshiaki Taoka;Tadao Yoshida

    (2020)
    36 Citations
  • Diagnosis of Hepatocellular Carcinoma Using Gd-EOB-DTPA MR Imaging.

    Takamichi Murakami;Keitaro Sofue;Masatoshi Hori

    (2021)
    30 Citations
  • Confirmation of Age-dependence in the Leakage of Contrast Medium around the Cortical Veins into Cerebrospinal Fluid after Intravenous Administration of Gadolinium-based Contrast Agent

    Shinji Naganawa;Rintaro Ito;Hisashi Kawai;Toshiaki Taoka

    (2020)
    27 Citations
  • MR Imaging of Endolymphatic Hydrops: Utility of iHYDROPS-Mi2 Combined with Deep Learning Reconstruction Denoising.

    Shinji Naganawa;Rei Nakamichi;Kazushige Ichikawa;Mariko Kawamura

    (2021)
    24 Citations
  • Hybrid of Compressed Sensing and Parallel Imaging Applied to Three-dimensional Isotropic T 2-weighted Turbo Spin-echo MR Imaging of the Lumbar Spine

    Kosuke Morita;Takeshi Nakaura;Natsuki Maruyama;Yuji Iyama

    (2020)
    24 Citations
  • Abnormal Flow Dynamics Result in Low Wall Shear Stress and High Oscillatory Shear Index in Abdominal Aortic Dilatation: Initial in vivo Assessment with 4D-flow MRI.

    Yasuo Takehara;Haruo Isoda;Mamoru Takahashi;Naoki Unno

    (2020)
    23 Citations
  • Assessing the Risk of Intracranial Aneurysm Rupture Using Morphological and Hemodynamic Biomarkers Evaluated from Magnetic Resonance Fluid Dynamics and Computational Fluid Dynamics.

    Roshani Perera;Haruo Isoda;Kenta Ishiguro;Kenta Ishiguro;Takashi Mizuno

    (2020)
    22 Citations
  • Evaluation of Malignant Breast Lesions Using High-resolution Readout-segmented Diffusion-weighted Echo-planar Imaging: Comparison with Pathology.

    Ayami Ohno Kishimoto;Masako Kataoka;Mami Iima;Maya Honda

    (2021)
    19 Citations

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Best Scientists Contributing to This Journal