World's Best Scientists 2026 revealed!
NMR in Biomedicine
H-index 31

NMR in Biomedicine

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 887 149 220 25

Additional Metrics

Number of Best Scientists*: 390
Documents by Best Scientists*: 456
Top 100 Ranked Scientists*: 13
SCIMAGO H-index: 135
SCIMAGO SJR: 0.95
Impact Factor: 2.7

Overview

Top Research Topics at NMR in Biomedicine?

NMR in Biomedicine aims to foster the development of research in Nuclear magnetic resonance, In vivo, Magnetic resonance imaging, Pathology and Internal medicine. The majority of Nuclear magnetic resonance studies in it are focused on the subject of Nuclear magnetic resonance spectroscopy. In vivo research featured in it incorporates concerns from various other topics such as Metabolite, Biochemistry, Choline and Human brain.

The works on Biochemistry deal in particular with Metabolism. The in-depth study on Magnetic resonance imaging also explores topics in the intersecting field of Nuclear medicine. NMR in Biomedicine links adjacent topics like Nuclear medicine with Perfusion.

The studies on Internal medicine discussed can also contribute to research in the domains of Endocrinology and Cardiology. The study on Diffusion MRI featured in the journal expounds on the topic of Fractional anisotropy in particular.

  • Nuclear magnetic resonance (35.67%)
  • In vivo (19.52%)
  • Magnetic resonance imaging (16.21%)

What are the most cited papers published in the journal?

  • The basis of anisotropic water diffusion in the nervous system – a technical review (3592 citations)
  • Fiber tracking: Principles and strategies - A technical review (1738 citations)
  • Proton NMR chemical shifts and coupling constants for brain metabolites. (1357 citations)

Research areas of the most cited articles at NMR in Biomedicine:

The most cited articles focus largely on the fields of Nuclear magnetic resonance, In vivo, Pathology, Magnetic resonance imaging and Diffusion MRI. In particular, the Nuclear magnetic resonance works presented in the published articles emphasize discussions on Nuclear magnetic resonance spectroscopy. The most cited articles deal with In vivo in conjunction with Metabolite and similar fields in Metabolomics.

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

  • Internal medicine
  • Magnetic resonance imaging
  • Enzyme

The previous edition focused in particular on these issues:

The main research concerns discussed in the journal are Nuclear magnetic resonance, In vivo, Biomedical engineering, Signal and Nuclear medicine. In NMR in Biomedicine, Imaging phantom, Voxel, Magnetic resonance imaging and Reproducibility are investigated in conjunction with one another to address concerns in Nuclear magnetic resonance research. In addition to Imaging phantom research, the journal aims to explore topics under Acoustics, Algorithm and Magnetic resonance elastography.

It facilitates discussions on Magnetic resonance imaging that incorporate concepts from other fields like Undersampling and Pattern recognition. The work on In vivo tackled in the journal brings together disciplines like Endocrinology, Choline, Internal medicine and Pathology. Nuclear medicine research featured in the journal incorporates concerns from various other topics such as Diffusion MRI and Perfusion.

The most cited articles from the last journal are:

  • Preprocessing, analysis and quantification in single‐voxel magnetic resonance spectroscopy: experts' consensus recommendations (45 citations)
  • Advanced single voxel 1 H magnetic resonance spectroscopy techniques in humans: Experts' consensus recommendations. (29 citations)
  • Contribution of macromolecules to brain 1H MR spectra: Experts' consensus recommendations (28 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 NMR in Biomedicine (based on the number of publications) are:

  • Dennis W. J. Klomp (48 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • John R. Griffiths (36 papers) absent at the last edition,
  • Peter R. Luijten (36 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Arend Heerschap (35 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Jens Frahm (31 papers) absent at the last 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 NMR in Biomedicine (based on the number of publications) are:

  • Max Planck Society (123 papers) published 8 papers at the last edition, 4 more than at the previous edition,
  • Utrecht University (97 papers) published 10 papers at the last edition, 3 more than at the previous edition,
  • New York University (92 papers) published 8 papers at the last edition, 2 more than at the previous edition,
  • National Institutes of Health (91 papers) published 6 papers at the last edition the same number as at the previous edition,
  • Harvard University (89 papers) published 12 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, 1.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.94% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.74% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.32% of all publications and 40.00% 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.

Top Publications

  • Minimum Reporting Standards for in vivo Magnetic Resonance Spectroscopy (MRSinMRS): Experts' consensus recommendations

    Alexander Lin;Ovidiu Andronesi;Wolfgang Bogner;In‐Young Choi

    (2021)
    326 Citations
  • Contribution of macromolecules to brain 1H MR spectra: Experts' consensus recommendations

    Cristina Cudalbu;Kevin L. Behar;Pallab K. Bhattacharyya;Wolfgang Bogner

    (2021)
    131 Citations
  • Proton magnetic resonance spectroscopy in skeletal muscle: Experts' consensus recommendations

    Martin Krssak;Lucas Lindeboom;Vera Schrauwen-Hinderling;Lidia S. Szczepaniak

    (2021)
    110 Citations
  • MRI of healthy brain aging: A review.

    M. Ethan MacDonald;G. Bruce Pike

    (2021)
    108 Citations
  • Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations

    Andrew A. Maudsley;Ovidiu C. Andronesi;Peter B. Barker;Alberto Bizzi

    (2021)
    106 Citations
  • Spectral editing in 1H magnetic resonance spectroscopy: Experts' consensus recommendations

    In Young Choi;Ovidiu C. Andronesi;Peter Barker;Wolfgang Bogner

    (2021)
    95 Citations
  • Terminology and concepts for the characterization of in vivo MR spectroscopy methods and MR spectra: Background and experts' consensus recommendations.

    Roland Kreis;Vincent Boer;In Young Choi;Cristina Cudalbu

    (2021)
    91 Citations
  • B0 shimming for in vivo magnetic resonance spectroscopy: Experts' consensus recommendations.

    Christoph Juchem;Cristina Cudalbu;Robin A. de Graaf;Rolf Gruetter

    (2021)
    78 Citations
  • Proton magnetic resonance spectroscopy in skeletal muscle: Experts' consensus recommendations

    (2020)
    64 Citations
  • Across-vendor standardization of semi-LASER for single-voxel MRS at 3T

    Dinesh K. Deelchand;Adam Berrington;Adam Berrington;Ralph Noeske;James M. Joers

    (2021)
    57 Citations

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