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Methods in Enzymology
H-index 20

Methods in Enzymology

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Microbiology 286 6 6 3
Biology and Biochemistry 417 210 240 15
Chemistry 476 186 204 16

Additional Metrics

Number of Best Scientists*: 471
Documents by Best Scientists*: 494
Top 100 Ranked Scientists*: 12
SCIMAGO H-index:
SCIMAGO SJR:
Impact Factor: N/A

Overview

Top Research Topics at Methods in Enzymology?

Methods in Enzymology primarily focuses on research topics in Biochemistry, Chromatography, Enzyme, Cell biology and Molecular biology. The research on Biochemistry discussed in the journal draws on the closely related field of Stereochemistry. The Chromatography works, particularly on High-performance liquid chromatography are tackled in it.

It concentrates on Enzyme topics that focus on Substrate (chemistry) and Enzyme assay. Many of the studies tackled connect Cell biology with a similar field of study like Cell.

  • Biochemistry (40.51%)
  • Chromatography (15.47%)
  • Enzyme (13.79%)

What are the most cited papers published in the journal?

  • Processing of X-ray diffraction data collected in oscillation mode (30339 citations)
  • Catalase in vitro (16670 citations)
  • Sequencing end-labeled DNA with base-specific chemical cleavages. (11888 citations)

Research areas of the most cited articles at Methods in Enzymology:

The published papers generally zeroe in on subjects such as Biochemistry, Chromatography, Enzyme, Cell biology and Molecular biology. The published papers focus on Biochemistry as well as the interrelated topics of Stereochemistry. The works on Chromatography tackled in the published articles bring together disciplines like Reagent and Organic chemistry.

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

  • Enzyme
  • Gene
  • Internal medicine

The previous edition focused in particular on these issues:

Methods in Enzymology investigates areas of study like Biophysics, Computational biology, Ion channel, RNA and Biochemistry. In addition to Biophysics research, Methods in Enzymology aims to explore topics under Pore-forming toxin, Function (biology), Membrane, Lipid bilayer and Förster resonance energy transfer. In it, Amino acid and Polyadenylation, Transcriptome, Gene expression, Gene are investigated in conjunction with one another to address concerns in Computational biology research.

While Polyadenylation is the focus of Methods in Enzymology, it also provided insights into the studies of Deep sequencing and Cell biology. The featured Ion channel studies mainly concentrate on Membrane protein but also cover areas of interest in Cryo-electron microscopy. It primarily discusses Biochemistry topics, particularly Enzyme, Transfer RNA, Translation (biology) and Escherichia coli.

The most cited articles from the last journal are:

  • Characterization of biodegradation of plastics in insect larvae. (6 citations)
  • Upcycling of hydrolyzed PET by microbial conversion to a fatty acid derivative. (4 citations)
  • Enzymatic control over coacervation. (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 Methods in Enzymology (based on the number of publications) are:

  • Lester Packer (53 papers) absent at the last edition,
  • Alton Meister (44 papers) absent at the last edition,
  • Meir Wilchek (42 papers) absent at the last edition,
  • Sidney Pestka (38 papers) absent at the last edition,
  • Edward A. Bayer (35 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 Methods in Enzymology (based on the number of publications) are:

  • National Institutes of Health (290 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Harvard University (206 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Max Planck Society (175 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • University of California, San Francisco (163 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Stanford University (135 papers) published 2 papers at the last edition the same number as 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, 2.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.88% of all publications and 60.20% 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

  • Alkaline phosphatase-triggered self-assembly of near-infrared nanoparticles for the enhanced photoacoustic imaging of tumors.

    Chengfan Wu;Rui Zhang;Wei Du;Liang Cheng

    (2021)
    180 Citations
  • Machine learning-assisted enzyme engineering.

    Niklas E Siedhoff;Ulrich Schwaneberg;Mehdi D Davari

    (2020)
    75 Citations
  • High-dimensional multiplexed immunohistochemical characterization of immune contexture in human cancers.

    Grace Banik;Courtney B. Betts;Shannon M. Liudahl;Shamilene Sivagnanam

    (2020)
    74 Citations
  • Immunocapture-based ELISA to characterize and quantify exosomes in both cell culture supernatants and body fluids

    Mariantonia Logozzi;Rossella Di Raimo;Davide Mizzoni;Stefano B. T. Methods in Enzymology Fais

    (2020)
    68 Citations
  • Characterization of biodegradation of plastics in insect larvae.

    Wei-Min Wu;Craig S Criddle

    (2021)
    60 Citations
  • Focused rational iterative site-specific mutagenesis (FRISM)

    Danyang Li;Qi Wu;Manfred T Reetz

    (2020)
    52 Citations
  • Consensus Finder web tool to predict stabilizing substitutions in proteins.

    Bryan J. Jones;Chi Nok Enoch Kan;Christine Luo;Romas J. Kazlauskas

    (2020)
    50 Citations
  • Using a sequence-specific coarse-grained model for studying protein liquid–liquid phase separation

    Roshan Mammen Regy;Wenwei Zheng;Jeetain Mittal

    (2021)
    46 Citations
  • Analysis of individual extracellular vesicles by imaging flow cytometry.

    Tobias Tertel;André Görgens;Bernd Giebel

    (2020)
    43 Citations

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