| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 713 | 11 | 10 | 7 |
Bioinformatics, Computational biology, Genomics, Gene and Proteomics are among the topics commonly tackled in Bioinformatics and Biology Insights. Issues in Bioinformatics were discussed, taking into consideration concepts from other disciplines like Microarray, In silico, Clinical science and Genetics. Bioinformatics and Biology Insights explores issues in Microarray which can be linked to other research areas like Cancer research and microRNA.
Bioinformatics and Biology Insights explores topics in Computational biology which can be helpful for research in disciplines like Regulation of gene expression, Transcriptome, DNA sequencing and Metagenomics. It holds forums on Genomics that merges themes from other disciplines such as Biotechnology, Phylogenetics, Disease and Data science. It focused on Phylogenetics research but expanded to cover Evolutionary biology.
The research topics discussed in Bioinformatics and Biology Insights include Data science as well as Health informatics. More specifically, the research on Gene in Bioinformatics and Biology Insights is related to Gene expression. Most of the Proteomics studies addressed also intersect with Function (biology).
The most cited papers aim to foster the development of research in Genomics, Computational biology, Bioinformatics, Proteomics and Gene. The most cited papers address concerns in Genomics which are intertwined with other disciplines, such as Biotechnology, Phylogenetics, Homology (biology) and Identification (information). The most cited publications feature works in Computational biology, more specifically Biological network, and explore their relation to disciplines like Health informatics.
Bioinformatics and Biology Insights mostly deals with topics like Computational biology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Gene, In silico and Genetics. The concepts on Computational biology presented in the journal can also apply to other research fields, including Docking (molecular), Identification (biology) and Malaria. In particular, the Gene works presented emphasize discussions on Gene expression.
Topics in In silico were tackled in line with various other fields like Ribosomal RNA, Breast cancer, G-quadruplex and Protein coding. Bioinformatics and Biology Insights facilitates discussions on Outbreak that incorporate concepts from other fields like Bioinformatics and Drug repositioning. The work on Bioinformatics tackled in it brings together disciplines like Etanercept and DrugBank.
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 Bioinformatics and Biology Insights (based on the number of publications) are:
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 Bioinformatics and Biology Insights (based on the number of publications) are:
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.
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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.45% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.45% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.35% of all publications and 67.74% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
One aspect that this article could delve into is the impact that findings in Bioinformatics and Biology Insights have on practical applications in the medical field. Given the close relationship between biology and healthcare, insights derived from these research areas can have a profound impact on patient care and treatment options. For instance, research in genomics and proteomics can offer new insights into disease mechanisms, paving the way for innovative treatments and therapies. Through Computational Biology and Bioinformatics, predictive models and algorithms can be developed to analyze large datasets in health informatics, enhancing disease diagnosis and patient care. Moreover, the interdisciplinary nature of these fields allows for collaboration with various medical disciplines. For example, studies in gene regulation could inform oncologists about new pathways for cancer treatment. Likewise, insights in microarray and miRNA could help researchers devise more effective diagnosis methods or improved testing kits. To fully grasp the potential of education and training in these fields, aspiring professionals might consider pursuing a medical assistant certification in Texas. Such programs provide foundational knowledge in these scientific areas and their applications in the medical field, paving the path for a successful career in healthcare. Overall, the link between Bioinformatics, Biology insights, and the medical field is a critical area worth exploring. This analysis not only underscores the importance of these research areas but also highlights the tangible impacts they can have on improving healthcare outcomes.
Carlos André dos Santos-Silva;Luisa Zupin;Marx Oliveira-Lima;Lívia Maria Batista Vilela
(2020)Gang Li;Jan Zrimec;Boyang Ji;Boyang Ji;Jun Geng
(2021)Zonghui Peng;Xiaolong Zhu;Zhijiao Wang;Xianting Yan
(2020)Benjamin A Braun;Catherine H Schein;Werner Braun
(2021)Deepak Mav;Dhiral P Phadke;Michele R Balik-Meisner;B Alex Merrick
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