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Genes and Genetic Systems
H-index 5

Genes and Genetic Systems

1341-7568

Published by: The Genetics Society of Japan

https://gsj3.org/ggs/index.html

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 145 11 13 4

Additional Metrics

Number of Best Scientists*: 31
Documents by Best Scientists*: 31
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 56
SCIMAGO SJR: 0.429
Impact Factor: 1.2

Overview

Top Research Topics at Genes & Genetic Systems?

The main research concerns discussed in the journal are Genetics, Gene, Molecular biology, Botany and Genome. Chromosome, Locus (genetics), Phylogenetic tree, Allele and Mitochondrial DNA are all topics related to Genetics research discussed. Common wheat is part of Chromosome studies tackled in Genes & Genetic Systems.

The studies tackled, which mainly focus on Phylogenetic tree, apply to Phylogenetics as well. In the Gene research discussed, Mutant, Gene expression, Regulation of gene expression, Phenotype and Exon are all tackled. The concepts on Mutant presented in Genes & Genetic Systems can also apply to other research fields, including Mutation and Cell biology.

The research on Molecular biology discussed in the journal draws on the closely related field of DNA.

  • Genetics (47.26%)
  • Gene (29.86%)
  • Molecular biology (14.78%)

What are the most cited papers published in the journal?

  • Differential regulation of transcript accumulation and alternative splicing of a DREB2 homolog under abiotic stress conditions in common wheat. (209 citations)
  • The phosphatase system in Saccharomyces cerevisiae. (200 citations)
  • OsNAC6, a member of the NAC gene family, is induced by various stresses in rice. (137 citations)

Research areas of the most cited articles at Genes & Genetic Systems:

The journal publications tackle a plethora of topics, such as Genetics, Gene, Botany, Genome and Phylogenetic tree. The study on Genetics presented in the most cited papers is investigated in conjunction with research in Molecular biology. The most cited publications tackle studies in Phylogenetics and the interrelated subject of Zoology to gain insights into Phylogenetic tree.

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

  • Gene
  • DNA
  • Genetics

The previous edition focused in particular on these issues:

The journal investigates areas of study like Gene, Genetic diversity, Mutant, Genetics and Evolutionary biology. The studies on Gene discussed can also contribute to research in the domains of Computational biology and Function (biology). In Genes & Genetic Systems, Zoology, Microsatellite, Genetic variation and Haplotype are investigated in conjunction with one another to address concerns in Genetic diversity research.

Issues in Mutant were discussed, taking into consideration concepts from other disciplines like Melanocortin 1 receptor and Frameshift mutation. The studies in Genetics featured incorporate elements of Coat and Lightness. The work on Evolutionary biology tackled in it brings together disciplines like Phylogenetics, Monophyly and Phylogenetic tree.

The most cited articles from the last journal are:

  • AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome. (0 citations)
  • The Drosophila Neprilysin 4 gene is essential for sperm function following sperm transfer to females. (0 citations)
  • Heat memory in plants: histone modifications, nucleosome positioning and miRNA accumulation alter heat memory gene expression. (0 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 Genes & Genetic Systems (based on the number of publications) are:

  • Shigeo Takumi (27 papers) absent at the last edition,
  • Shuhei Nasuda (24 papers) absent at the last edition,
  • Masao Watanabe (21 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Takashi R. Endo (20 papers) absent at the last edition,
  • Chiharu Nakamura (18 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 Genes & Genetic Systems (based on the number of publications) are:

  • Kyoto University (128 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • University of Tokyo (112 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Kobe University (60 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Tohoku University (52 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • National Institute of Genetics (50 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, 4.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 52.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.52% of all publications and 23.81% 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

  • Mb-level CpG and TFBS islands visualized by AI and their roles in the nuclear organization of the human genome.

    Kennosuke Wada;Yoshiko Wada;Toshimichi Ikemura

    (2020)
    10 Citations
  • AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome.

    Toshimichi Ikemura;Yuki Iwasaki;Kennosuke Wada;Yoshiko Wada

    (2021)
    6 Citations
  • Possible roles for the hominoid-specific DSCR4 gene in human cells

    Morteza M. Saber;Marziyeh Karimiavargani;Takanori Uzawa;Nilmini Hettiarachchi

    (2021)
    4 Citations
  • DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences

    Eli Kaminuma;Yukino Baba;Masahiro Mochizuki;Hirotaka Matsumoto

    (2020)
    4 Citations
  • Phylogeographic study using nuclear genome sequences of Asip to infer the origins of ventral fur color variation in the house mouse Mus musculus.

    (2022)
    3 Citations
  • Isolation of Pikps, an allele of Pik, from the aus rice cultivar Shoni.

    (2023)
    3 Citations
  • Characterization of self-incompatible Brassica napus lines lacking SP11 expression.

    Takumi Okamoto;Misaki Okamoto;Eri Hikichi;Moena Ogawa

    (2020)
    3 Citations
  • Euchromatin factors HULC and Set1C affect heterochromatin organization and mating-type switching in fission yeast &lt;i&gt;Schizosaccharomyces pombe&lt;/i&gt;

    (2022)
    3 Citations
  • Spatiogenetic characterization of S receptor kinase (SRK) alleles in naturalized populations of Raphanus sativus L. var. raphanistroides on Yakushima island

    Kazuki Fukushima;Toko Kanomata;Aoi Kon;Hiromi Masuko-Suzuki

    (2021)
    2 Citations
  • High-speed system to generate congenic strains in medaka

    (2023)
    1 Citations

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