Published by: Oxford University Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Microbiology | 48 | 151 | 184 | 35 |
| Biology and Biochemistry | 206 | 83 | 130 | 28 |
| Medicine | 841 | 81 | 102 | 26 |
The main research concerns discussed in the journal are Virology, Genome, Genetics, Evolutionary biology and Virus. Many of the research works in Virology, specifically Outbreak, closely connected to disciplines like Transmission (mechanics). While work presented in it provided substantial information on Genome, it also covered topics in Computational biology, Recombination and DNA sequencing.
It tackles issues in Genetics, particularly in the topics of Gene, RNA and RNA virus. The Evolutionary biology works featured in Virus Evolution incorporate elements from Viral evolution, Genetic diversity, Lineage (evolution), Phylogenetic tree and Host (biology). Topics in Phylogenetic tree were tackled in line with various other fields like Phylogenetics and Genotype.
The work tackled in the journal goes beyond the discipline of Clade as it also encompasses Zoology.
The published articles are organized to address concerns in the fields of Genome, Phylogenetic tree, Evolutionary biology, Genetics and Phylogenetics. The published articles hold forums on Genome that merge themes from other disciplines such as Middle East respiratory syndrome coronavirus, Computational biology and Recombination. The journal papers facilitate discussions on Phylogenetic tree that incorporate concepts from other fields like Scalability, Whole genome sequencing, Outbreak, Genotype and Coronavirus.
Virus Evolution primarily focuses on research topics in Evolutionary biology, Genome, Genetics, Virus and Virology. While Virus Evolution focused on Evolutionary biology, it was also able to explore topics like Phylogenetics, Clade, Phylogenetic tree, Genetic diversity and Host (biology). Lineage (evolution) are all disciplines of Phylogenetic tree that connect with topics in Geography.
The journal addresses concerns in the field of Genome by exploring it in line with topics in Computational biology which intersect with Open reading frame subjects. In the journal, Viral evolution, Molecular evolution, Whole genome sequencing, RNA polymerase and Mutation rate are investigated in conjunction with one another to address concerns in Virus research. The journal explores issues in Virology which can be linked to other research areas like Pathogen, Immune system and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
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 Virus Evolution (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 Virus Evolution (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, 3.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.00% of all publications and 40.00% 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.
Áine O'Toole;Emily Scher;Anthony Underwood;Ben Jackson
(2021)Darren Patrick Martin;Arvind Varsani;Arvind Varsani;Philippe Roumagnac;Gerrit Botha
(2021)Sebastian Duchene;Leo Featherstone;Melina Haritopoulou-Sinanidou;Andrew Rambaut
(2020)Caroline Charre;Caroline Charre;Christophe Ginevra;Marina Sabatier;Hadrien Regue
(2020)Pursuing a medical career in the USA offers diverse educational paths beyond traditional medical school. For registered nurses aiming to advance, exploring rn to bsn no clinicals programs can provide flexible options without the need for in-person clinical hours, speeding up the journey to a Bachelor of Science in Nursing.
For those interested in doctoral-level nursing education, identifying the shortest msn to dnp program can help balance career goals with time commitments, enabling nurses to swiftly enhance their expertise and qualify for advanced practice roles.
If you're looking to enter healthcare quickly, accelerated cma program options offer concentrated training that prepares students to become certified medical assistants in as little as six weeks, opening doors to immediate employment in clinical settings.
For those considering a Doctor of Nursing Practice degree, understanding the nuances of dnp school selection is crucial. Finding programs with manageable coursework and supportive faculty can make achieving this advanced credential more accessible and less stressful.