World's Best Scientists 2026 revealed!
NeuroImage: Clinical
H-index 51

NeuroImage: Clinical

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Neuroscience 32 1108 1043 47
Medicine 315 552 584 42

Additional Metrics

Number of Best Scientists*: 1938
Documents by Best Scientists*: 1293
Top 100 Ranked Scientists*: 71
SCIMAGO H-index: 106
SCIMAGO SJR: 1.566
Impact Factor: 3.6

Overview

Top Research Topics at NeuroImage: Clinical?

NeuroImage: Clinical focuses largely on the fields of Neuroscience, White matter, Audiology, Magnetic resonance imaging and Cognition. Resting state fMRI, Functional magnetic resonance imaging, Neuroimaging, Brain mapping and Default mode network are some of the study areas of Neuroscience discussed. The White matter works featured in it incorporate elements from Corpus callosum, Pathology, Diffusion MRI and Hyperintensity.

The main emphasis of NeuroImage: Clinical is the subject of Pathology, focusing on Atrophy. The journal primarily discusses Diffusion MRI topics, particularly Fractional anisotropy and Tractography. While Audiology is the focus of NeuroImage: Clinical, it also provided insights into the studies of Developmental psychology and Electroencephalography.

The journal focuses on Magnetic resonance imaging but the discussions also offer insight into other areas such as Multiple sclerosis, Internal medicine, Nuclear medicine and Cardiology. The studies on Internal medicine discussed can also contribute to research in the domains of Endocrinology and Oncology. Cognition research is concerned with Effects of sleep deprivation on cognitive performance in particular.

  • Neuroscience (32.42%)
  • White matter (17.89%)
  • Audiology (15.95%)

What are the most cited papers published in the journal?

  • Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia (618 citations)
  • Neuroimaging after mild traumatic brain injury: Review and meta-analysis (314 citations)
  • Altered functional and structural brain network organization in autism. (287 citations)

Research areas of the most cited articles at NeuroImage: Clinical:

The published papers focus largely on the fields of Neuroscience, White matter, Neuroimaging, Magnetic resonance imaging and Diffusion MRI. The journal papers explore topics in White matter which can be helpful for research in disciplines like Corpus callosum, Hyperintensity and Audiology. The journal articles focus on Magnetic resonance imaging but sometimes tackle the closely related topic of Pathology which is concerned with Internal medicine and Radiology.

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

  • Internal medicine
  • Disease
  • Magnetic resonance imaging

The previous edition focused in particular on these issues:

NeuroImage: Clinical investigates areas of study like Neuroscience, Cognition, White matter, Audiology and Internal medicine. Topics in Neuroscience were tackled in line with various other fields like Autism and Autism spectrum disorder. Cognition research featured in NeuroImage: Clinical incorporates concerns from various other topics such as Connectome and Electroencephalography.

It explores topics in White matter which can be helpful for research in disciplines like Corpus callosum and Diffusion MRI. The studies in Audiology featured incorporate elements of Magnetoencephalography and Cognitive decline. The Internal medicine research presented in it explores the relationship between Neuroimaging and the closely related topic of Disease and Hippocampus.

The most cited articles from the last journal are:

  • Towards a tractography-based risk stratification model for language area associated gliomas (8 citations)
  • Neural mechanisms of acute stress and trait anxiety in adolescents (7 citations)
  • Manual and automated tissue segmentation confirm the impact of thalamus atrophy on cognition in multiple sclerosis: A multicenter study (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 NeuroImage: Clinical (based on the number of publications) are:

  • Frederik Barkhof (34 papers) published 6 papers at the last edition, 4 more than at the previous edition,
  • Vince D. Calhoun (23 papers) absent at the last edition,
  • Paul M. Thompson (23 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Bruce L. Miller (18 papers) published 1 paper at the last edition,
  • Clifford R. Jack (17 papers) published 2 papers at the last edition, 1 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 NeuroImage: Clinical (based on the number of publications) are:

  • Harvard University (154 papers) published 14 papers at the last edition, 12 less than at the previous edition,
  • King's College London (85 papers) published 12 papers at the last edition, 6 less than at the previous edition,
  • University of California, San Francisco (80 papers) published 9 papers at the last edition, 1 more than at the previous edition,
  • University of California, Los Angeles (76 papers) published 6 papers at the last edition, 1 more than at the previous edition,
  • University of Toronto (74 papers) published 16 papers at the last edition, 3 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, 1.16% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.68% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.34% of all publications and 42.52% 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.

Career Paths in the Field of Clinical Neurology

The Neurology field is vast, with a wide range of specializations and career paths for those interested in all aspects of the brain and nervous system. Becoming a specialist in NeuroImage: Clinical, for example, involves gaining expert knowledge in vital subjects including Neuroscience, White matter, Audiology, Magnetic resonance imaging, and Cognition. This requires not just a solid academic foundation but also hands-on clinical research and experience. If you're interested in the Audiology field and its significant application in neuroscience, one potential career pathway could be becoming a Speech-Language Pathologist. In this role, you'll contribute to the detailed exploration of the interplay between audiology and neurology, working to analyze and resolve communication disorders related to the brain and nervous system. You will require a targeted education pathway and licensure to successfully initiate your career as a Speech-Language Pathologist, especially in specific states with varying licensing requirements. For instance, the pathways on [how to be a speech therapist in Texas](https://research.com/careers/how-to-become-a-speech-language-pathologist-in-texas) offer expert guidance for aspiring professionals in this domain. Each path within the Neurology field helps shape the future of the discipline and impacts countless lives, from enhancing our understanding of the brain and nervous system to developing innovative treatment approaches for conditions like autism, dementia, or traumatic brain injuries. Regardless of the specific career path you choose, your contribution to this field of medicine and research is invaluable and we extend our utmost support in your journey.

Top Publications

  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders

    Yuhui Du;Yuhui Du;Zening Fu;Jing Sui;Jing Sui;Shuang Gao;Shuang Gao

    (2020)
    407 Citations
  • Commentary: Correction procedures in brain-age prediction.

    Ann-Marie G. de Lange;Ann-Marie G. de Lange;Ann-Marie G. de Lange;James H. Cole

    (2020)
    267 Citations
  • Neuroimaging in Functional Neurological Disorder: State of the Field and Research Agenda.

    David L Perez;Timothy R Nicholson;Ali A Asadi-Pooya;Indrit Bègue

    (2021)
    180 Citations
  • Choroid plexus enlargement is associated with neuroinflammation and reduction of blood brain barrier permeability in depression

    Unknown

    (2021)
    134 Citations
  • Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium

    Yicheng Long;Hengyi Cao;Chaogan Yan;Xiao Chen

    (2020)
    120 Citations
  • Hippocampal plasticity underpins long-term cognitive gains from resistance exercise in MCI

    Kathryn M Broadhouse;Kathryn M Broadhouse;Maria Fiatarone Singh;Chao Suo;Nicola Gates

    (2020)
    107 Citations
  • Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions

    Joseph C. Griffis;Nicholas V. Metcalf;Maurizio Corbetta;Gordon L. Shulman

    (2021)
    103 Citations

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Best Scientists Contributing to This Journal