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Magnetic Resonance in Chemistry
H-index 16

Magnetic Resonance in Chemistry

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Chemistry 507 113 198 15

Additional Metrics

Number of Best Scientists*: 147
Documents by Best Scientists*: 237
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 83
SCIMAGO SJR: 0.36
Impact Factor: 1.4

Overview

Top Research Topics at Magnetic Resonance in Chemistry?

Magnetic Resonance in Chemistry mainly deals with areas of study such as Stereochemistry, Carbon-13 NMR, Nuclear magnetic resonance spectroscopy, Proton NMR and Chemical shift. The journal explores issues in Stereochemistry which can be linked to other research areas like Crystallography, Molecule, Ring (chemistry) and Medicinal chemistry. While work presented in Magnetic Resonance in Chemistry provided substantial information on Carbon-13 NMR, it also covered topics in Fluorine-19 NMR, Carbon-13 NMR satellite, Spectral line and Physical chemistry.

Most of the works presented in the journal deals with Carbon-13 NMR satellite but it intersects with the subject of Deuterium NMR. While Nuclear magnetic resonance spectroscopy is the focus of the journal, it also provided insights into the studies of Chemical solution, NMR spectra database, Pulse sequence and Analytical chemistry. The journal links adjacent topics like Analytical chemistry with Spectroscopy.

Chemical shift research presented in it encompasses a variety of subjects, including Steric effects, Carbon-13, Substituent, Computational chemistry and Proton. The presented Computational chemistry research focuses mostly on Coupling constant and, on occasion, topics in Spin (physics). It explores research in Two-dimensional nuclear magnetic resonance spectroscopy and the adjacent study of Heteronuclear molecule.

  • Stereochemistry (36.94%)
  • Carbon-13 NMR (31.91%)
  • Nuclear magnetic resonance spectroscopy (28.22%)

What are the most cited papers published in the journal?

  • Modelling one- and two-dimensional solid-state NMR spectra† (3008 citations)
  • Gradient selection in inverse heteronuclear correlation spectroscopy (818 citations)
  • 13C n.m.r. spectra of steroids —a survey and commentary† (507 citations)

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

The published papers aim to foster the development of research in Stereochemistry, Carbon-13 NMR, Chemical shift, Nuclear magnetic resonance spectroscopy and Proton NMR. The subject of Computational chemistry, which is connected to the field of Coupling constant, serves as the foundation of the Chemical shift research featured in the journal articles. The journal articles explore topics in Nuclear magnetic resonance spectroscopy which can be helpful for research in disciplines like NMR spectra database, Pulse sequence and Analytical chemistry.

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

  • Organic chemistry
  • Enzyme
  • Biochemistry

The previous edition focused in particular on these issues:

The journal focuses on Proton NMR, Nuclear magnetic resonance spectroscopy, Spectroscopy, Spectral line and Carbon-13 NMR. The Nuclear magnetic resonance spectroscopy works featured in Magnetic Resonance in Chemistry incorporate elements from Computational chemistry and Sensitivity (control systems). Spectroscopy research featured in it incorporates concerns from various other topics such as Chemical physics, Molecular physics and Solid-state nuclear magnetic resonance.

The featured Spectral line studies mainly concentrate on Nuclear magnetic resonance but also cover areas of interest in Spin isomers of hydrogen. Topics in Carbon-13 NMR explored in it were investigated in conjunction with research in Two-dimensional nuclear magnetic resonance spectroscopy and Chemical shift. The research on Chemical shift tackled can also make contributions to studies in the areas of Crystallography and Hydrogen bond.

The most cited articles from the last journal are:

  • Minimizing the risk of deducing wrong natural product structures from NMR data (8 citations)
  • NMR characterization of rearranged staurosporine aglycone analogues from the marine sponge Damiria sp. (6 citations)
  • Quantitative NMR (qNMR) for pharmaceutical analysis: The pioneering work of George Hanna at the US FDA (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 Magnetic Resonance in Chemistry (based on the number of publications) are:

  • Graham A. Webb (87 papers) absent at the last edition,
  • José Elguero (86 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Raymond J. Abraham (83 papers) absent at the last edition,
  • Leonid B. Krivdin (61 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Gary E. Martin (59 papers) published 2 papers at the last edition the same number as 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 Chemistry (based on the number of publications) are:

  • Russian Academy of Sciences (198 papers) published 9 papers at the last edition the same number as at the previous edition,
  • Centre national de la recherche scientifique (194 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Polish Academy of Sciences (180 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Spanish National Research Council (122 papers) published 2 papers at the last edition the same number as at the previous edition,
  • University of Surrey (106 papers) absent at the last 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, 4.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.26% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.13% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.94% of all publications and 66.67% 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

  • A molecular fluorophore in citric acid/ethylenediamine carbon dots identified and quantified by multinuclear solid-state nuclear magnetic resonance

    Pu Duan;Bo Zhi;Luke Coburn;Christy L. Haynes

    (2020)
    45 Citations
  • Computer Assisted Structure Elucidation (CASE): Current and future perspectives.

    Mikhail Elyashberg;Dimitris Argyropoulos

    (2021)
    38 Citations
  • Spectral deconvolution in electrophoretic NMR to investigate the migration of neutral molecules in electrolytes

    Florian Schmidt;Andrea Pugliese;Catherine C. Santini;Franca Castiglione

    (2020)
    27 Citations
  • Multiplatform Untargeted Metabolomics

    (2023)
    24 Citations
  • Minimizing the risk of deducing wrong natural product structures from NMR data

    Darcy C. Burns;William F. Reynolds

    (2021)
    24 Citations
  • Quantitative NMR (qNMR) for pharmaceutical analysis: The pioneering work of George Hanna at the US FDA

    Birgit U. Jaki;Anton Bzhelyansky;Guido F. Pauli

    (2021)
    23 Citations
  • Qualitative and Quantitative 1H NMR Spectroscopy for Determination of Divalent Metal Cation Concentration in Model Salt Solutions, Food Supplements and Pharmaceutical Products by Using EDTA as Chelating Agent

    Elina Hafer;Ulrike Holzgrabe;Katharina Kraus;Kristie Adams

    (2020)
    22 Citations
  • SMART-Miner: A Convolutional Neural Network-based Metabolite Identification from 1 H-13 C HSQC spectra.

    (2021)
    22 Citations
  • In vivo comprehensive multiphase NMR

    Yalda Liaghati Mobarhan;Ronald Soong;Daniel Lane;Andre J. Simpson

    (2020)
    21 Citations
  • NMR relaxometry of oil paint binders.

    Franziska Busse;Christian Rehorn;Markus Küppers;Naira Ruiz

    (2020)
    20 Citations

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