Biology Direct

Top Research Topics at Biology Direct?

The journal primarily focuses on research topics in Genetics, Gene, Genome, Computational biology and Evolutionary biology. The journal facilitated presentations on Genetics research, particularly Phylogenetics, RNA, Intron, Sequence alignment and Phylogenetic tree. Horizontal gene transfer and Gene duplication are all aspects of Gene research featured in Biology Direct.

Genome works presented in Biology Direct have a specific focus on Genomics. It features Computational biology research that overlaps with concepts in Bioinformatics.

• Genetics (47.92%)
• Gene (21.09%)
• Genome (19.51%)

What are the most cited papers published in the journal?

• A putative RNA-interference-based immune system in prokaryotes: computational analysis of the predicted enzymatic machinery, functional analogies with eukaryotic RNAi, and hypothetical mechanisms of action (907 citations)
• Domain enhanced lookup time accelerated BLAST. (525 citations)
• The ancient Virus World and evolution of cells (516 citations)

Research areas of the most cited articles at Biology Direct:

The journal articles investigate areas of study like Genetics, Genome, Gene, Phylogenetics and Evolutionary biology. Most of the works presented in the journal articles deal with Genetics but they intersect with the subject of Computational biology. The most cited publications address concerns in Genome which are intertwined with other disciplines, such as Virus and Immunity.

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

• Gene
• DNA
• Enzyme

The previous edition focused in particular on these issues:

Biology Direct focuses largely on the fields of Computational biology, Cell biology, Signal transduction, Random forest and Cancer research. Biology Direct facilitates discussions on Computational biology that incorporate concepts from other fields like Cancer, Gene expression, Chromatin, Feature selection and Drug. The featured Cell biology research zeroes in on concepts in Stem cell but also tackles themes under Micronucleus.

Issues in Signal transduction were discussed, taking into consideration concepts from other disciplines like Downregulation and upregulation and Chromosomal translocation. Discussions in it are anchored in the field of Random forest but it branches out to cover the subject of interrelated disciplines, including

• Support vector machine, which have a strong connection to Sample (statistics), Shotgun sequencing, Normalization (statistics), Metagenomics and Linear discriminant analysis,
• Drug development and related Test set, In silico, Interpretability and Predictive modelling.. Biology Direct holds forums on Cancer research that merges themes from other disciplines such as Mutation, Suppressor, Genotoxic Stress and Ferroptosis, Programmed cell death.

The most cited articles from the last journal are:

• Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure. (3 citations)
• Conserved sequence motifs in human TMTC1, TMTC2, TMTC3, and TMTC4, new O-mannosyltransferases from the GT-C/PMT clan, are rationalized as ligand binding sites. (3 citations)
• Integration of human cell lines gene expression and chemical properties of drugs for Drug Induced Liver Injury prediction. (3 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 Biology Direct (based on the number of publications) are:

• Eugene V. Koonin (67 papers) absent at the last edition,
• Yuri I. Wolf (23 papers) absent at the last edition,
• L. Aravind (20 papers) absent at the last edition,
• Kira S. Makarova (20 papers) absent at the last edition,
• Lakshminarayan M. Iyer (11 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 Biology Direct (based on the number of publications) are:

• National Institutes of Health (104 papers) absent at the last edition,
• Moscow State University (17 papers) absent at the last edition,
• Russian Academy of Sciences (17 papers) absent at the last edition,
• Centre national de la recherche scientifique (17 papers) absent at the last edition,
• National University of Singapore (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, 5.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.53% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.53% of all publications and 57.89% 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.