BMC Biology

Top Research Topics at BMC Biology?

The journal primarily tackles Cell biology, Genetics, Gene, Evolutionary biology and Genome. The research on Cell biology tackled can also make contributions to studies in the areas of Molecular biology, Transcription factor and Cellular differentiation. It features studies on Genetics, including topics such as Regulation of gene expression.

Studies on Gene discussed in BMC Biology link to the field of Computational biology. The studies tackled, which mainly focus on Evolutionary biology, apply to Phylogenetics as well. Discussions in it are anchored in the subject of Phylogenetics and the similar topic of Phylogenetic tree.

Genomics is the primary subject of Genome works presented in the journal.

• Cell biology (25.87%)
• Genetics (21.35%)
• Gene (14.91%)

What are the most cited papers published in the journal?

• Reagent and laboratory contamination can critically impact sequence-based microbiome analyses (1756 citations)
• Molecular dynamics simulations and drug discovery (605 citations)
• Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation (580 citations)

Research areas of the most cited articles at BMC Biology:

The most cited publications mostly deal with topics like Genetics, Cell biology, Gene, Genome and Evolutionary biology. The studies tackled in the journal articles, which mainly focus on Genetics, apply to Computational biology as well. The journal articles explore topics in Cell biology which can be helpful for research in disciplines like Molecular biology and Cell, Cell cycle.

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 topics of Cell biology, Gene, Evolutionary biology, Genome and Genetics are the focal point of discussions in the journal. Topics in Cell biology explored in BMC Biology were investigated in conjunction with research in Cell, Cell cycle, Cell type, Transcription factor and Zebrafish. BMC Biology explores research in Gene and the adjacent study of Function (biology).

While the journal focused on Evolutionary biology, it was also able to explore topics like Gene family and Clade, Phylogenetic tree. The journal addresses concerns in Genome which are intertwined with other disciplines, such as Chromosome and Computational biology. The work tackled in BMC Biology goes beyond the discipline of Computational biology as it also encompasses RNA.

The most cited articles from the last journal are:

• Putative ligand binding sites of two functionally characterized bark beetle odorant receptors. (11 citations)
• An updated tribal classification of Lamiaceae based on plastome phylogenomics (9 citations)
• Hidden genomic features of an invasive malaria vector, Anopheles stephensi, revealed by a chromosome-level genome assembly. (8 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 BMC Biology (based on the number of publications) are:

• Eugene V. Koonin (16 papers) published 2 papers at the last edition, 1 less than at the previous edition,
• Miranda Robertson (14 papers) absent at the last edition,
• Richard A. Gibbs (8 papers) absent at the last edition,
• Toni Gabaldón (8 papers) absent at the last edition,
• John H. Werren (7 papers) published 2 papers at the last edition the same number as at the previous 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 BMC Biology (based on the number of publications) are:

• Max Planck Society (70 papers) published 7 papers at the last edition, 2 less than at the previous edition,
• University of Cambridge (66 papers) published 10 papers at the last edition, 6 more than at the previous edition,
• University of Oxford (63 papers) published 8 papers at the last edition the same number as at the previous edition,
• National Institutes of Health (62 papers) published 7 papers at the last edition, 2 more than at the previous edition,
• Harvard University (57 papers) published 5 papers at the last edition, 1 less than 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, 0.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.58% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.79% of all publications and 50.44% 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.