World's Best Scientists 2026 revealed!
BioTechniques
H-index 15

BioTechniques

0736-6205

Published by: Future Science Ltd

https://www.biotechniques.com

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Molecular Biology 164 8 9 4
Biology and Biochemistry 532 43 42 11

Additional Metrics

Number of Best Scientists*: 121
Documents by Best Scientists*: 102
Top 100 Ranked Scientists*: 9
SCIMAGO H-index: 147
SCIMAGO SJR: 0.435
Impact Factor: 2.5

Overview

Top Research Topics at BioTechniques?

The journal was organized to reinforce research efforts on Molecular biology, Biochemistry, DNA, Genetics and Polymerase chain reaction. The research on Molecular biology featured in BioTechniques combines topics in other fields like RNA, Plasmid, Gene expression and Gene. Enzyme is a primary topic of Biochemistry research in the journal.

The study on DNA presented in it intersects with the topics under Chromatography. The study on Genetics presented is investigated in conjunction with research in Computational biology. Primer (molecular biology) is a major topic of Polymerase chain reaction research.

BioTechniques connects the study in Gel electrophoresis with the closely related area of Electrophoresis.

  • Molecular biology (30.07%)
  • Biochemistry (16.73%)
  • DNA (16.05%)

What are the most cited papers published in the journal?

  • Chelex 100 as a Medium for Simple Extraction of DNA for PCR-Based Typing from Forensic Material (5073 citations)
  • TM4: a free, open-source system for microarray data management and analysis. (4240 citations)
  • A reagent for the single-step simultaneous isolation of RNA, DNA and proteins from cell and tissue samples. (2493 citations)

Research areas of the most cited articles at BioTechniques:

The main points discussed in the journal publications deal with Molecular biology, Genetics, Biochemistry, Polymerase chain reaction and DNA. In addition to Molecular biology research, the most cited publications aim to explore topics under Gene expression, RNA, Real-time polymerase chain reaction, Gene and Oligonucleotide. The journal papers explore research in Biochemistry alongside concepts in Cell culture and other areas of study in Cell biology.

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 scientific interests tackled in BioTechniques are Computational biology, DNA, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), RNA and 2019-20 coronavirus outbreak. In addition to DNA research, BioTechniques aims to explore topics under DNA extraction and Extraction (chemistry). While work presented in BioTechniques provided substantial information on DNA extraction, it also covered topics in Chromatography and DNA sequencing.

The tackled Extraction (chemistry) research is interrelated with Ancient DNA which concerns subjects like Biochemistry. BioTechniques holds forums on Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that merges themes from other disciplines such as Reverse transcriptase, Gene expression, Loop-mediated isothermal amplification, Viral rna and Pandemic. The journal deals with 2019-20 coronavirus outbreak in conjunction with Coronavirus disease 2019 (COVID-19) and similar fields in Virology.

The most cited articles from the last journal are:

  • Development of multiplexed reverse-transcription loop-mediated isothermal amplification for detection of SARS-CoV-2 and influenza viral RNA. (7 citations)
  • Evidence-based point-of-care technology development during the COVID-19 pandemic. (5 citations)
  • Cell-free protein synthesis: advances on production process for biopharmaceuticals and immunobiological products. (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 BioTechniques (based on the number of publications) are:

  • Kristie Nybo (86 papers) absent at the last edition,
  • Jeffrey M. Perkel (55 papers) absent at the last edition,
  • Nathan S. Blow (50 papers) absent at the last edition,
  • Lynne Lederman (43 papers) absent at the last edition,
  • Simon Mumford (32 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 BioTechniques (based on the number of publications) are:

  • National Institutes of Health (130 papers) absent at the last edition,
  • Harvard University (98 papers) absent at the last edition,
  • University of Wisconsin-Madison (68 papers) absent at the last edition,
  • Max Planck Society (55 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Michigan (51 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, 10.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 2.60% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.39% of all publications and 70.13% 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

  • Western blotting (immunoblotting): history, theory, uses, protocol and problems.

    (2023)
    48 Citations
  • A Comparison of Six DNA Extraction Protocols for 16S, ITS and Shotgun Metagenomic Sequencing of Microbial Communities

    (2022)
    40 Citations
  • Comparison of target enrichment strategies for ancient pathogen DNA

    Anja Furtwängler;Judith Neukamm;Judith Neukamm;Lisa Böhme;Ella Reiter

    (2020)
    29 Citations
  • A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities.

    Justin P. Shaffer;Clarisse Marotz;Pedro Belda-Ferre;Cameron Martino

    (2021)
    25 Citations
  • 2D and 3D in vitro assays to quantify the invasive behavior of glioblastoma stem cells in response to SDF-1α

    Vashendriya Vv Hira;Barbara Breznik;Cornelis Jf Van Noorden;Tamara Lah

    (2020)
    15 Citations
  • Effective strategies for isolating DNA from members of Asteraceae with high concentrations of secondary metabolites.

    (2022)
    15 Citations
  • Targeted proteomics analysis of plasma proteins using recombinant protein standards for addition only workflows.

    David Kotol;Andreas Hober;Linnéa Strandberg;Anne-Sophie Svensson

    (2021)
    13 Citations
  • Increased sensitivity using real-time dPCR for detection of SARS-CoV-2

    (2021)
    13 Citations
  • AroCell TK 210 ELISA for determination of TK1 protein: age-related reference ranges and comparison with other TK1 assays.

    Jagarlamudi Kiran Kumar;Sofia Holmgren;Kerstin Hamberg Levedahl;Martin Höglund

    (2020)
    13 Citations
  • Influence of spore morphology on spectrophotometric quantification of Trichoderma inocula

    Georg Schütz;Dietmar Haltrich;Lea Atanasova

    (2020)
    13 Citations

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Best Scientists Contributing to This Journal

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