BioEssays

Top Research Topics at BioEssays?

The concepts of Genetics, Cell biology, Gene, Evolutionary biology and Computational biology are tackled in BioEssays. Genome, DNA, Regulation of gene expression, Chromatin and Phenotype are all aspects of Genetics research featured in it. In addition to Cell biology research, BioEssays aims to explore topics under Receptor, Cell and Biochemistry.

• Genetics (26.32%)
• Cell biology (26.22%)
• Gene (13.43%)

What are the most cited papers published in the journal?

• The history and geography of human genes (3314 citations)
• The matrix-degrading metalloproteinases. (1281 citations)
• The PARP superfamily. (1175 citations)

Research areas of the most cited articles at BioEssays:

The most cited articles tackle a plethora of topics, such as Cell biology, Genetics, Gene, Biochemistry and Evolutionary biology. In addition to Cell biology research, the most cited papers aim to explore topics under Cell, Receptor and Cellular differentiation. The most cited papers explore research in Genetics and the adjacent study of Computational biology.

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:

The foci of BioEssays are Cell biology, Evolutionary biology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 2019-20 coronavirus outbreak and Coronavirus disease 2019 (COVID-19). BioEssays features studies on Cell biology, including topics such as Function (biology). BioEssays addresses concerns in Evolutionary biology which are intertwined with other disciplines, such as Genome, Gene and Phylogenetic tree.

Most of the works presented in BioEssays deals with Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) but it intersects with the subject of Virology. The discussions emphasized the topic of Coronavirus disease 2019 (COVID-19) in an attempt to further explore the field of Disease. Chromatin research discussed connects with the study of Epigenetics.

The most cited articles from the last journal are:

• The genetic structure of SARS-CoV-2 does not rule out a laboratory origin: SARS-COV-2 chimeric structure and furin cleavage site might be the result of genetic manipulation. (27 citations)
• DNA topoisomerases: Advances in understanding of cellular roles and multi-protein complexes via structure-function analysis. (8 citations)
• Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera: A semi-quantitative, high throughput, microscopy-based assay expands existing approaches to measure SARS-CoV-2 specific antibody levels in human sera. (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 BioEssays (based on the number of publications) are:

• Andrew Moore (133 papers) published 4 papers at the last edition, 6 less than at the previous edition,
• Adam S. Wilkins (50 papers) absent at the last edition,
• Adam S. Wilkins (32 papers) absent at the last edition,
• Dave Speijer (28 papers) published 6 papers at the last edition the same number as at the previous edition,
• Jonathan Bard (20 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 BioEssays (based on the number of publications) are:

• University of Cambridge (244 papers) published 1 paper at the last edition,
• Harvard University (122 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• National Institutes of Health (104 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Max Planck Society (96 papers) published 5 papers at the last edition, 1 more than at the previous edition,
• University of Oxford (96 papers) published 1 paper 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, 9.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.44% of all publications and 67.22% 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.