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Nature Protocols
H-index 87

Nature Protocols

1754-2189

Published by: Springer

https://www.nature.com/nprot/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 51 256 239 56

Additional Metrics

Number of Best Scientists*: 916
Documents by Best Scientists*: 602
Top 100 Ranked Scientists*: 67
SCIMAGO H-index: 320
SCIMAGO SJR: 5.854
Impact Factor: 16

Overview

Top Research Topics at Nature Protocols?

The scientific interests tackled in the journal are Cell biology, Computational biology, Biochemistry, Molecular biology and Biophysics. Cell biology research featured in it incorporates concerns from various other topics such as Cell culture, Transfection, Cellular differentiation and Induced pluripotent stem cell. Nature Protocols addresses concerns in Computational biology which are intertwined with other disciplines, such as RNA, Genetics, Genome, Gene and DNA microarray.

The journal concentrated on Genetics research, specifically DNA sequencing and Genomics. Issues in Biochemistry were discussed, taking into consideration concepts from other disciplines like Combinatorial chemistry and Chromatography. The concepts on Molecular biology presented in Nature Protocols can also apply to other research fields, including Gene expression and DNA.

It focused on Biophysics research but expanded to cover Microscopy. Topics in Protein engineering were tackled in line with various other fields like Structural biology and Drug design.

  • Cell biology (19.51%)
  • Computational biology (16.57%)
  • Biochemistry (15.29%)

What are the most cited papers published in the journal?

  • Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. (24861 citations)
  • Analyzing real-time PCR data by the comparative C T method (15681 citations)
  • Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (8672 citations)

Research areas of the most cited articles at Nature Protocols:

The journal articles focus on Biochemistry, Cell biology, Computational biology, Molecular biology and Biophysics. The most cited publications address concerns in the field of Cell biology by exploring it in line with topics in Transfection which intersect with Transduction (genetics) and Cell signaling subjects. The most cited publications facilitate discussions on Computational biology that incorporate concepts from other fields like Genetics, RNA, Genomics, DNA microarray and Sequence analysis.

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

  • Gene
  • DNA
  • Enzyme

The previous edition focused in particular on these issues:

The journal aims to foster the development of research in Computational biology, Cell biology, DNA, Protocol (science) and Genome. Computational biology research presented in the journal encompasses a variety of subjects, including Gene expression, CRISPR, RNA, Chromatin and Gene. The RNA study featured in the journal draws connections with the study of Sequence analysis.

It explores topics in Cell biology which can be helpful for research in disciplines like Cell, Immune system, Cellular differentiation and Induced pluripotent stem cell. Attendees of the journal participated in discussions that delve into both Protocol (science) and Workflow.

The most cited articles from the last journal are:

  • Engineering SARS-CoV-2 using a reverse genetic system. (29 citations)
  • Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data. (20 citations)
  • Quantification of SARS-CoV-2 neutralizing antibody by wild-type plaque reduction neutralization, microneutralization and pseudotyped virus neutralization assays. (18 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 Nature Protocols (based on the number of publications) are:

  • Hans Clevers (12 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Rakesh K. Jain (11 papers) absent at the last edition,
  • Kyousuke Nagata (10 papers) absent at the last edition,
  • Michiya Noguchi (10 papers) absent at the last edition,
  • Kohsuke Kato (10 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 Nature Protocols (based on the number of publications) are:

  • Harvard University (179 papers) published 16 papers at the last edition, 1 more than at the previous edition,
  • Max Planck Society (109 papers) published 5 papers at the last edition, 4 less than at the previous edition,
  • Stanford University (87 papers) published 12 papers at the last edition, 5 more than at the previous edition,
  • Massachusetts Institute of Technology (87 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • National Institutes of Health (83 papers) published 6 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, 1.46% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.72% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.87% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.34% of all publications and 43.07% 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.

Employment Opportunities in Pharmaceutical Research

A growing career option for those interested in the diverse research subjects covered in Nature Protocols journal is in the field of pharmacy. The study and application of biochemistry, molecular biology, computational biology, and more can provide a robust foundation for becoming a skilled pharmacist, particularly in clinical settings where research findings directly impact patient care. To illustrate how these fields intersect, let's discuss how one might use a degree in these areas to become a licensed pharmacist in New Mexico. Pharmacists are instrumental in the healthcare industry. They develop, administer, and provide advice on medications to medical professionals as well as patients. Many pharmacists work in research units like those discussed in Nature Protocols, advancing knowledge and improving pharmaceutical care. To learn more about becoming a licensed pharmacist in New Mexico, browsing resources like "How to Become a Licensed Pharmacist in New Mexico" can be helpful. This website provides an excellent roadmap to earning your pharmaceutical license. To conclude, if the research topics in Nature Protocols spark interest in you, remember that they can be applied in numerous professional pursuits, including pharmaceutical work. By following the scientific exploration and advances discussed in this journal, aspiring pharmacists can be at the forefront of innovation, improving patient outcomes and advancing the field of healthcare.

Top Publications

  • A scalable SCENIC workflow for single-cell gene regulatory network analysis.

    Bram Van de Sande;Christopher Flerin;Kristofer Davie;Maxime De Waegeneer

    (2020)
    840 Citations
  • Reproducible molecular networking of untargeted mass spectrometry data using GNPS

    Allegra T. Aron;Emily C. Gentry;Kerry L. McPhail;Louis Félix Nothias

    (2020)
    651 Citations
  • Measuring DNA modifications with the comet assay: a compendium of protocols

    Unknown

    (2023)
    406 Citations
  • CODEX multiplexed tissue imaging with DNA-conjugated antibodies.

    Sarah Black;Darci Phillips;John W. Hickey;Julia Kennedy-Darling

    (2021)
    384 Citations
  • Minimum Information for Reporting on the Comet Assay (MIRCA): recommendations for describing comet assay procedures and results

    Peter Møller;Amaya Azqueta;Elisa Boutet-Robinet;Gudrun Koppen

    (2020)
    349 Citations
  • A practical guide to large-scale docking.

    Brian J Bender;Stefan Gahbauer;Andreas Luttens;Jiankun Lyu

    (2021)
    338 Citations
  • Design, fabrication and applications of tetrahedral DNA nanostructure-based multifunctional complexes in drug delivery and biomedical treatment

    Tao Zhang;Taoran Tian;Ronghui Zhou;Songhang Li

    (2020)
    304 Citations
  • Proximity labeling in mammalian cells with TurboID and split-TurboID

    Kelvin F. Cho;Tess C. Branon;Namrata D. Udeshi;Samuel A. Myers

    (2020)
    278 Citations
  • Tutorial: guidance for quantitative confocal microscopy.

    James Jonkman;Claire M Brown;Graham D Wright;Kurt I Anderson

    (2020)
    278 Citations
  • Tutorial: multivariate classification for vibrational spectroscopy in biological samples.

    Camilo L. M. Morais;Kássio M. G. Lima;Maneesh Singh;Francis L. Martin

    (2020)
    240 Citations

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Each of these pathways provides a practical complement to a Chemistry background, emphasizing both flexibility and growth in the healthcare sector.

Best Scientists Contributing to This Journal

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