Gene

Top Research Topics at Gene?

Gene explores disciplines such as Gene, Genetics, Molecular biology, Biochemistry and Complementary DNA. Topics like Gene expression, Exon, Intron, Promoter and Open reading frame are tackled as part of the discussions on Gene. The journal links adjacent topics like Gene expression with Regulation of gene expression.

Most of the works presented in the journal deals with Promoter but it intersects with the subject of Transcription (biology). Genetics, which encompasses Genome, DNA, Sequence analysis, Homology (biology) and Coding region, is the main subject of the journal. Discussions in it are anchored in the subject of DNA and the similar topic of Recombinant DNA.

Gene addresses concerns in Molecular biology which are intertwined with other disciplines, such as Nucleic acid sequence, Plasmid, Escherichia coli and Molecular cloning, Peptide sequence. In the Biochemistry research discussed, Amino acid and Saccharomyces cerevisiae are all tackled. Complementary DNA works presented in it have a specific focus on cDNA library.

• Gene (45.31%)
• Genetics (44.05%)
• Molecular biology (42.98%)

What are the most cited papers published in the journal?

• Improved M13 phage cloning vectors and host strains: nucleotide sequences of the M13mp18 and pUC19 vectors (14109 citations)
• Site-directed mutagenesis by overlap extension using the polymerase chain reaction. (7083 citations)
• Single-step purification of polypeptides expressed in Escherichia coli as fusions with glutathione S-transferase. (5714 citations)

Research areas of the most cited articles at Gene:

The published papers focus on Genetics, Molecular biology, Gene, Biochemistry and Nucleic acid sequence. The works on Molecular biology tackled in the published papers bring together disciplines like Plasmid and Complementary DNA, Molecular cloning, Gene expression, Peptide sequence. Issues in Plasmid were discussed in the journal papers, taking into consideration concepts from other disciplines like Recombinant DNA, Multiple cloning site, Cloning vector and Escherichia coli.

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

• Gene
• Enzyme
• Internal medicine

The previous edition focused in particular on these issues:

Gene investigates studies in Gene, Genetics, Single-nucleotide polymorphism, Transcriptome and Computational biology. Genome, Genetic association, Polymorphism (computer science), Gene expression and KEGG are some of the study areas of Gene discussed. RNA splicing, splice, Intron, Exon and Genetic analysis are all aspects of Genetics discussed in it.

Topics in Single-nucleotide polymorphism explored in Gene were investigated in conjunction with research in Odds ratio, Internal medicine, Cohort study and Longitudinal study. In addition to Transcriptome research, Gene aims to explore topics under Quantitative trait locus, Domestication, Histone acetyltransferase and Candidate gene. The concepts on Computational biology presented in the journal can also apply to other research fields, including Common wheat, Cas9, CRISPR, Psychological repression and Function (biology).

The most cited articles from the last journal are:

• Tau and amyloid beta differentially affect the innate immune genes expression in Drosophila models of Alzheimer's disease and β- D Mannuronic acid (M2000) modulates the dysregulation. (0 citations)
• Comparative genomic analysis reveals the evolution and environmental adaptation of Acinetobacter johnsonii. (0 citations)
• Integrative analysis of transcriptome-wide association study and mRNA expression profile identified candidate genes and pathways associated with aortic aneurysm and dissection. (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.

Top authors and change over time

The top authors publishing in Gene (based on the number of publications) are:

• Waclaw Szybalski (83 papers) absent at the last edition,
• Giorgio Bernardi (74 papers) absent at the last edition,
• Takashi Gojobori (55 papers) absent at the last edition,
• Andre J. van Wijnen (48 papers) absent at the last edition,
• Hong Chen (47 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Gene (based on the number of publications) are:

• University of Tokyo (415 papers) absent at the last edition,
• National Institutes of Health (360 papers) absent at the last edition,
• Chinese Academy of Sciences (257 papers) absent at the last edition,
• Centre national de la recherche scientifique (251 papers) absent at the last edition,
• University of Wisconsin-Madison (244 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 2022 edition, 6.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 4.44% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.44% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.56% of all publications and 75.56% 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.