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BMC Biotechnology
H-index 15

BMC Biotechnology

1472-6750

Published by: Springer

https://bmcbiotechnol.biomedcentral.com

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 600 29 26 9

Additional Metrics

Number of Best Scientists*: 73
Documents by Best Scientists*: 68
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 99
SCIMAGO SJR: 0.77
Impact Factor: 3.4

Overview

Top Research Topics at BMC Biotechnology?

The foci of the journal are Biochemistry, Molecular biology, Gene, Genetics and Cell biology. The in-depth study on Biochemistry also explores topics in the intersecting field of Microbiology. The concepts on Molecular biology presented in it can also apply to other research fields, including Cell culture, Transfection, DNA, Stem cell and Antibody.

BMC Biotechnology connects the study in Antibody with the closely related area of Antigen. Gene expression, Transgene, Regulation of gene expression and Promoter studies are all carried out as a component of the study in Gene presented. Genetics research discussed connects with the study of Computational biology.

The journal explores studies in Fermentation as part of the wider topic of Food science. It links adjacent topics like Recombinant DNA with Virology.

  • Biochemistry (26.88%)
  • Molecular biology (26.01%)
  • Gene (16.20%)

What are the most cited papers published in the journal?

  • An efficient one-step site-directed deletion, insertion, single and multiple-site plasmid mutagenesis protocol. (614 citations)
  • A simple technique for quantifying apoptosis in 96-well plates (581 citations)
  • Oil accumulation in the model green alga Chlamydomonas reinhardtii : characterization, variability between common laboratory strains and relationship with starch reserves (581 citations)

Research areas of the most cited articles at BMC Biotechnology:

The journal articles tackle a plethora of topics, such as Molecular biology, Biochemistry, Gene, Genetics and Transgene. The journal articles address concerns in Molecular biology which are intertwined with other disciplines, such as Gene expression, DNA, Stem cell, Cell biology and Antibody. Genetics study tackled in the journal papers is connected to the field of Computational biology.

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

  • Gene
  • Enzyme
  • DNA

The previous edition focused in particular on these issues:

The scientific interests tackled in BMC Biotechnology are Computational biology, Biochemistry, Gene, Food science and Enzyme. Topics in Computational biology were tackled in line with various other fields like Genome editing, Cas9, CRISPR and Polymerase chain reaction, Primer (molecular biology). It facilitates the exploration of Biochemistry in relation to the field of Theanine.

It explores research in Gene alongside concepts in Microbiology and other areas of study in Vibrio parahaemolyticus and Biofilm. The studies on Enzyme discussed can also contribute to research in the domains of Amino acid and Saturated mutagenesis. The journal deals with Glycoprotein in conjunction with Receptor and similar fields in Molecular biology.

The most cited articles from the last journal are:

  • The osteogenic differentiation of human dental pulp stem cells in alginate-gelatin/Nano-hydroxyapatite microcapsules (10 citations)
  • Exosomes for mRNA delivery: a novel biotherapeutic strategy with hurdles and hope. (6 citations)
  • Levan from Leuconostoc citreum BD1707: production optimization and changes in molecular weight distribution during cultivation. (5 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 BMC Biotechnology (based on the number of publications) are:

  • Michael Hust (11 papers) absent at the last edition,
  • C. Neal Stewart (10 papers) absent at the last edition,
  • Stefan Dübel (8 papers) absent at the last edition,
  • Dongzhi Wei (7 papers) absent at the last edition,
  • Anna Kulma (6 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 BMC Biotechnology (based on the number of publications) are:

  • Chinese Academy of Sciences (40 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Max Planck Society (20 papers) absent at the last edition,
  • University of Toronto (19 papers) absent at the last edition,
  • University of São Paulo (15 papers) absent at the last edition,
  • Spanish National Research Council (15 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, 1.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.17% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 6.78% of all publications and 72.88% 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

  • Efficient CRISPR/Cas9 genome editing in a salmonid fish cell line using a lentivirus delivery system

    Remi L. Gratacap;Tim Regan;Carola E. Dehler;Samuel A. M. Martin

    (2020)
    50 Citations
  • A novel high performance in-silico screened metagenome-derived alkali-thermostable endo-β-1,4-glucanase for lignocellulosic biomass hydrolysis in the harsh conditions.

    Shohreh Ariaeenejad;Atefeh Sheykh Abdollahzadeh Mamaghani;Morteza Maleki;Kaveh Kavousi

    (2020)
    37 Citations
  • Metabolic engineering of energycane to hyperaccumulate lipids in vegetative biomass

    (2022)
    27 Citations
  • Screening of five marine-derived fungal strains for their potential to produce oxidases with laccase activities suitable for biotechnological applications

    Wissal Ben Ali;Wissal Ben Ali;Delphine Chaduli;David Navarro;Christian Lechat

    (2020)
    27 Citations
  • Characterization of metabolic responses, genetic variations, and microsatellite instability in ammonia-stressed CHO cells grown in fed-batch cultures

    Dylan G. Chitwood;Qinghua Wang;Kathryn Elliott;Aiyana Bullock

    (2021)
    18 Citations
  • Genome-scale insights into the metabolic versatility of Limosilactobacillus reuteri.

    Hao Luo;Peishun Li;Hao Wang;Hao Wang;Stefan Roos

    (2021)
    14 Citations
  • Genome-scale model reconstruction of the methylotrophic yeast Ogataea polymorpha

    Ulf W. Liebal;Brigida A. Fabry;Aarthi Ravikrishnan;Constantin V. l. Schedel

    (2021)
    12 Citations
  • Functional expression of a novel methanol-stable esterase from Geobacillus subterraneus DSM13552 for biocatalytic synthesis of cinnamyl acetate in a solvent-free system

    Xianghai Cai;Lin Lin;Yaling Shen;Wei Wei

    (2020)
    10 Citations
  • Creation of Golden Gate constructs for gene doctoring.

    Nicholas M. Thomson;Chuanzhen Zhang;Chuanzhen Zhang;Eleftheria Trampari;Mark J. Pallen;Mark J. Pallen;Mark J. Pallen

    (2020)
    10 Citations
  • Simplified cloning and isolation of peptides from “sandwiched” SUMO-peptide-intein fusion proteins

    (2023)
    9 Citations

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