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Virus Evolution
H-index 41

Virus Evolution

Published by: Oxford University Press

https://academic.oup.com/ve

Ranking & Metrics

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

Additional Metrics

Number of Best Scientists*: 428
Documents by Best Scientists*: 340
Top 100 Ranked Scientists*: 17
SCIMAGO H-index: 47
SCIMAGO SJR: 1.9
Impact Factor: 4

Overview

Top Research Topics at Virus Evolution?

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.

  • Virology (26.47%)
  • Genome (24.22%)
  • Genetics (23.36%)

What are the most cited papers published in the journal?

  • RDP4: Detection and analysis of recombination patterns in virus genomes. (1675 citations)
  • Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10 (1094 citations)
  • Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen) (952 citations)

Research areas of the most cited articles at Virus Evolution:

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.

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

  • Virus
  • Gene
  • Genome

The previous edition focused in particular on these issues:

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).

The most cited articles from the last journal are:

  • Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. (36 citations)
  • Possible host-adaptation of SARS-CoV-2 due to improved ACE2 receptor binding in mink (31 citations)
  • RDP5: a computer program for analyzing recombination in, and removing signals of recombination from, nucleotide sequence datasets (25 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.

The top authors publishing in Virus Evolution (based on the number of publications) are:

  • Edward C. Holmes (24 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Philippe Lemey (18 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Oliver G. Pybus (13 papers) published 3 papers at the last edition,
  • Paul Kellam (11 papers) absent at the last edition,
  • My V. T. Phan (11 papers) published 2 papers at the last edition, 1 more than 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Virus Evolution (based on the number of publications) are:

  • University of Oxford (48 papers) published 7 papers at the last edition, 3 more than at the previous edition,
  • University of Sydney (31 papers) published 7 papers at the last edition, 3 less than at the previous edition,
  • Katholieke Universiteit Leuven (27 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • University of Edinburgh (24 papers) published 6 papers at the last edition, 1 more than at the previous edition,
  • Centers for Disease Control and Prevention (24 papers) published 5 papers at the last edition, 4 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, 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.

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.

Top Publications

  • Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool.

    Áine O'Toole;Emily Scher;Anthony Underwood;Ben Jackson

    (2021)
    1180 Citations
  • RDP5: a computer program for analyzing recombination in, and removing signals of recombination from, nucleotide sequence datasets

    Darren Patrick Martin;Arvind Varsani;Arvind Varsani;Philippe Roumagnac;Gerrit Botha

    (2021)
    623 Citations
  • Temporal signal and the phylodynamic threshold of SARS-CoV-2

    Sebastian Duchene;Leo Featherstone;Melina Haritopoulou-Sinanidou;Andrew Rambaut

    (2020)
    391 Citations
  • The origins and molecular evolution of SARS-CoV-2 lineage B.1.1.7 in the UK

    (2022)
    192 Citations
  • An antibody-escape estimator for mutations to the SARS-CoV-2 receptor-binding domain

    (2022)
    161 Citations
  • Evaluation of NGS-based approaches for SARS-CoV-2 whole genome characterisation

    Caroline Charre;Caroline Charre;Christophe Ginevra;Marina Sabatier;Hadrien Regue

    (2020)
    159 Citations

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