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Mass Spectrometry Reviews
H-index 32

Mass Spectrometry Reviews

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Chemistry 267 81 104 28

Additional Metrics

Number of Best Scientists*: 130
Documents by Best Scientists*: 137
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 144
SCIMAGO SJR: 1.294
Impact Factor: 6.6

Overview

Top Research Topics at Mass Spectrometry Reviews?

The discussions in the journal mainly cover the fields of Mass spectrometry, Chromatography, Analytical chemistry, Mass spectrometric and Proteomics. Mass Spectrometry Reviews holds forums on Mass spectrometry that merges themes from other disciplines such as Ion and Matrix-assisted laser desorption/ionization. The research on Ion tackled can also make contributions to studies in the areas of Chemical physics and Molecule.

The journal links adjacent topics like Molecule with Computational chemistry. Liquid chromatography–mass spectrometry, Sample preparation, Gas chromatography, High-performance liquid chromatography and Protein mass spectrometry are Chromatography topics of special interest in it. Topics in Analytical chemistry explored in Mass Spectrometry Reviews were investigated in conjunction with research in Ion source and Ionization, Chemical ionization.

The studies in Proteomics featured incorporate elements of Proteome and Computational biology. Computational biology research discussed connects with the study of Metabolomics.

  • Mass spectrometry (56.46%)
  • Chromatography (30.71%)
  • Analytical chemistry (26.97%)

What are the most cited papers published in the journal?

  • Fourier transform ion cyclotron resonance mass spectrometry: A primer (1694 citations)
  • Mass spectrometry-based metabolomics. (1529 citations)
  • Electrospray ionization–principles and practice (1352 citations)

Research areas of the most cited articles at Mass Spectrometry Reviews:

The journal papers are mainly concerned with subjects like Mass spectrometry, Analytical chemistry, Chromatography, Tandem mass spectrometry and Matrix-assisted laser desorption/ionization. The most cited publications explore issues in Mass spectrometry which can be linked to other research areas like Sample preparation and Proteomics. Atmospheric-pressure chemical ionization and Computational biology are some topics wherein Chromatography research discussed in the journal publications has an impact.

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

  • Enzyme
  • Gene
  • Organic chemistry

The previous edition focused in particular on these issues:

The journal covers a variety of subjects, including Mass spectrometry, Computational biology, Ion, Proteomics and Metabolomics. The discussions emphasized the topic of Mass spectrometry in an attempt to further explore the field of Chromatography. The Computational biology studies in Mass Spectrometry Reviews expound on topics in

  • Glycoprotein most often made with reference to Glycosylation,
  • Glycan that intertwine with fields like Electrospray,
  • Function (biology) most often made with reference to Characterization (materials science)..

The Ion works featured in it incorporate elements from Chemical physics, Photochemistry, Molecule and Dissociation (chemistry). Many of the research works in Metabolomics, specifically Metabolome, closely connected to disciplines like Biochemical engineering. The tackled Ionization research is interrelated with Analytical chemistry which concerns subjects like Glow discharge.

The most cited articles from the last journal are:

  • HIGH RESOLUTION MASS SPECTROMETRY IN LIPIDOMICS (21 citations)
  • STRATEGIES AND CHALLENGES IN METHOD DEVELOPMENT AND VALIDATION FOR THE ABSOLUTE QUANTIFICATION OF ENDOGENOUS BIOMARKER METABOLITES USING LIQUID CHROMATOGRAPHY-TANDEM MASS SPECTROMETRY (16 citations)
  • Liquid chromatography–mass spectrometry bottom‐up proteomic methods in animal species analysis of processed meat for food authentication and the detection of adulterations (15 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 Mass Spectrometry Reviews (based on the number of publications) are:

  • Herbert Budzikiewicz (99 papers) absent at the last edition,
  • David Harvey (11 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Paul Vouros (8 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Diethard K. Bohme (8 papers) published 1 paper at the last edition,
  • Michael L. Gross (8 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 Mass Spectrometry Reviews (based on the number of publications) are:

  • University of Cologne (99 papers) absent at the last edition,
  • National Research Council (15 papers) published 3 papers at the last edition,
  • University of Antwerp (12 papers) absent at the last edition,
  • Purdue University (11 papers) published 1 paper at the last edition,
  • Curtin University (11 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, 4.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.99% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.09% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.99% of all publications and 64.94% 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

  • Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry.

    Nico Verbeeck;Nico Verbeeck;Richard M. Caprioli;Raf Van de Plas;Raf Van de Plas

    (2020)
    204 Citations
  • DNA adducts: Formation, biological effects, and new biospecimens for mass spectrometric measurements in humans.

    Byeong Hwa Yun;Jingshu Guo;Medjda Bellamri;Robert J. Turesky

    (2020)
    140 Citations
  • Recent advances (2019-2021) of capillary electrophoresis-mass spectrometry for multilevel proteomics.

    Daoyang Chen;Elijah N. McCool;Zhichang Yang;Xiaojing Shen

    (2021)
    84 Citations
  • On-Tissue Chemical Derivatization in Mass Spectrometry Imaging

    Carla Harkin;Karl W. Smith;Faye L. Cruickshank;C. Logan Mackay

    (2021)
    81 Citations
  • Advances in mass spectrometry imaging for spatial cancer metabolomics

    (2022)
    79 Citations
  • The integration of LC-MS and NMR for the analysis of low molecular weight trace analytes in complex matrices

    Rose M. Gathungu;Rose M. Gathungu;Roger Kautz;Bruce S. Kristal;Susan S. Bird

    (2020)
    78 Citations
  • WIDENING THE BOTTLENECK OF PHOSPHOPROTEOMICS: EVOLVING STRATEGIES FOR PHOSPHOPEPTIDE ENRICHMENT

    Teck Yew Low;M. Aiman Mohtar;Pey Yee Lee;Nursyazwani Omar

    (2021)
    78 Citations
  • Surface-assisted laser desorption/ionization mass spectrometry imaging: A review.

    Wendy H. Müller;Alexandre Verdin;Edwin De Pauw;Cedric Malherbe

    (2020)
    77 Citations
  • Evaluating and minimizing batch effects in metabolomics.

    Wei Han;Liang Li

    (2020)
    57 Citations
  • Mass spectrometry-based methods for the advanced characterization and structural analysis of lignin: A review.

    Dane R. Letourneau;Dietrich A. Volmer

    (2021)
    56 Citations

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Best Scientists Contributing to This Journal