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Biotechnology Letters
H-index 18

Biotechnology Letters

0141-5492

Published by: Springer

https://www.springer.com/journal/10529

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Biology and Biochemistry 506 51 60 12

Additional Metrics

Number of Best Scientists*: 128
Documents by Best Scientists*: 135
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 131
SCIMAGO SJR: 0.528
Impact Factor: 2.1

Overview

Top Research Topics at Biotechnology Letters?

The objective of the journal is to combine knowledge in the areas of Biochemistry, Enzyme, Chromatography, Fermentation and Food science. While work presented in the journal provided substantial information on Biochemistry, it also covered topics in Molecular biology and Bacteria. The research on Molecular biology featured in Biotechnology Letters combines topics in other fields like Plasmid, Gene expression, Gene and Cell culture.

The presented Bacteria research focuses mostly on Microbiology and, on occasion, topics in Strain (chemistry). The studies on Enzyme discussed can also contribute to research in the domains of Hydrolysis and Stereochemistry. Most of the Chromatography studies addressed also intersect with Bioreactor.

The journal features Fermentation research that overlaps with concepts in Ethanol. The research on Food science discussed in Biotechnology Letters draws on the closely related field of Botany. Organic chemistry works presented in Biotechnology Letters have a specific focus on Catalysis.

  • Biochemistry (39.29%)
  • Enzyme (14.98%)
  • Chromatography (13.50%)

What are the most cited papers published in the journal?

  • Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper--Excel-based tool using pair-wise correlations. (3433 citations)
  • Biomass and lipid productivities of Chlorella vulgaris under autotrophic, heterotrophic and mixotrophic growth conditions. (769 citations)
  • Hyaluronic acid: a natural biopolymer with a broad range of biomedical and industrial applications. (680 citations)

Research areas of the most cited articles at Biotechnology Letters:

The journal articles are organized to reinforce research efforts on Biochemistry, Food science, Fermentation, Chromatography and Bacteria. The journal publications explore topics in Chromatography which can be helpful for research in disciplines like Lipase, Triacylglycerol lipase and Bioreactor. While the most cited papers focused on Bacteria, they were also able to explore topics like Enterobacteriaceae, Strain (chemistry) and Microbiology.

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

  • Enzyme
  • Gene
  • Bacteria

The previous edition focused in particular on these issues:

Biotechnology Letters investigates areas of study like Biochemistry, Food science, Fermentation, Gene and Enzyme. It explores issues in Biochemistry which can be linked to other research areas like Strain (chemistry) and Bacillus subtilis. Sugar is a focus of the presented Food science works and it dives deep in Sugar.

The subject of Cell biology, which is connected to the field of Cell, serves as the foundation of the Gene research featured in the journal. The Enzyme study featured in the journal draws parallels with the field of Chromatography. The Recombinant DNA study tackled is a key component of adjacent topics in the area of Molecular biology.

The most cited articles from the last journal are:

  • Surfactants: physicochemical interactions with biological macromolecules (8 citations)
  • Circular RNA circ_0032821 contributes to oxaliplatin (OXA) resistance of gastric cancer cells by regulating SOX9 via miR-515-5p (8 citations)
  • Systematically gap-filling the genome-scale metabolic model of CHO cells (6 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 Biotechnology Letters (based on the number of publications) are:

  • Deok-Kun Oh (58 papers) absent at the last edition,
  • Koji Sode (37 papers) absent at the last edition,
  • Ho Nam Chang (33 papers) absent at the last edition,
  • Lynne E. Macaskie (33 papers) absent at the last edition,
  • Peter L. Rogers (31 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 Biotechnology Letters (based on the number of publications) are:

  • Chinese Academy of Sciences (306 papers) published 3 papers at the last edition, 7 less than at the previous edition,
  • KAIST (156 papers) absent at the last edition,
  • Seoul National University (154 papers) published 1 paper at the last edition,
  • Jiangnan University (117 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • East China University of Science and Technology (109 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, 7.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.73% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.39% of all publications and 82.87% 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

  • Surfactants: physicochemical interactions with biological macromolecules

    M. Aguirre-Ramírez;H. Silva-Jiménez;I. M. Banat;M. A. Díaz De Rienzo

    (2021)
    107 Citations
  • Human umbilical cord mesenchymal stem cell exosomes alleviate sepsis-associated acute kidney injury via regulating microRNA-146b expression

    Rongxue Zhang;Yuan Zhu;Yang Li;Wanzhu Liu

    (2020)
    87 Citations
  • Metabolic engineering of β-carotene biosynthesis in Yarrowia lipolytica

    (2020)
    53 Citations
  • A set of Yarrowia lipolytica CRISPR/Cas9 vectors for exploiting wild-type strain diversity

    Macarena Larroude;Heykel Trabelsi;Jean Marc Nicaud;Tristan Rossignol

    (2020)
    37 Citations
  • Low-quality animal by-product streams for the production of PHA-biopolymers: fats, fat/protein-emulsions and materials with high ash content as low-cost feedstocks

    Victoria Saad;Björn Gutschmann;Thomas Grimm;Torsten Widmer

    (2021)
    30 Citations
  • Improved AP-3 production through combined ARTP mutagenesis, fermentation optimization, and subsequent genome shuffling

    (2021)
    21 Citations
  • A simple enzymatic assay for the quantification of C1-specific cellulose oxidation by lytic polysaccharide monooxygenases

    M. B Keller;C Felby;Carlos Alberto Labate;Vanessa de Oliveira Arnoldi Pellegrini

    (2020)
    21 Citations
  • A classical swine fever virus E2 fusion protein produced in plants elicits a neutralizing humoral immune response in mice and pigs

    Youngmin Park;Sangmin Lee;Hyangju Kang;Minhee Park

    (2020)
    15 Citations
  • Nanobody against PDL1.

    Shufeng Li;Kunpeng Jiang;Ting Wang;Wei Zhang

    (2020)
    15 Citations
  • Systematically gap-filling the genome-scale metabolic model of CHO cells

    Hamideh Fouladiha;Sayed-Amir Marashi;Shangzhong Li;Zerong Li

    (2021)
    15 Citations

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