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Pathogens and Disease
H-index 14

Pathogens and Disease

2049-632X

Published by: Oxford University Press

https://academic.oup.com/femspd

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Microbiology 174 38 34 12
Immunology 217 8 7 5

Additional Metrics

Number of Best Scientists*: 73
Documents by Best Scientists*: 61
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 123
SCIMAGO SJR: 0.742
Impact Factor: 2.7

Overview

Top Research Topics at Pathogens and Disease?

The objective of the journal is to combine knowledge in the areas of Microbiology, Immunology, Virulence, Immune system and Virology. Some problems in Microbiology that were presented in it overlapped with concepts under Pseudomonas aeruginosa, Biofilm, Bacteria and Gene. It explores issues in Biofilm which can be linked to other research areas like Antibiotics, Antibiotic resistance and Antimicrobial.

The Gene study featured falls within the wider field of Genetics. Research on Immunology addressed in it frequently intersections with the field of Disease. Virulence research discussed connects with the study of Mutant.

Research on Immune system presented in it focuses, in particular, on Immunity and Innate immune system. Pathogens and Disease concentrates on Virology topics that focus on Vaccination and Virus. Antigen and Antibody are closely related fields of research discussed in Pathogens and Disease.

  • Microbiology (48.80%)
  • Immunology (24.46%)
  • Virulence (15.54%)

What are the most cited papers published in the journal?

  • Pseudomonas aeruginosa : new insights into pathogenesis and host defenses (697 citations)
  • Acinetobacter baumannii: evolution of a global pathogen. (389 citations)
  • Pathogenesis of Candida albicans biofilm. (174 citations)

Research areas of the most cited articles at Pathogens and Disease:

The published articles mainly tackle studies in Microbiology, Biofilm, Immunology, Virulence and Bacteria. Pseudomonas aeruginosa and Staphylococcus aureus are some topics wherein Microbiology research discussed in the journal papers has an impact. The most cited articles explore issues in Immunology which can be linked to other research areas like Disease and Bordetella pertussis.

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

  • Gene
  • Bacteria
  • Enzyme

The previous edition focused in particular on these issues:

The discussions in Pathogens and Disease mainly cover the fields of Microbiology, Immune system, Gene, Cell biology and Galleria mellonella. While work presented in the journal provided substantial information on Microbiology, it also covered topics in Allele, In vivo and Pneumonia. It explores studies in Immune system as part of the wider topic of Immunology.

It investigates Immunology research which frequently intersects with Disease. While Gene is the key highlight in it, it also covered some subjects on Virology and Druggability and Culex. The Galleria mellonella works featured in Pathogens and Disease incorporate elements from Klebsiella pneumoniae, Computational biology, Model organism and Antibiotics.

The most cited articles from the last journal are:

  • How can we interpret SARS-CoV-2 antibody test results? (6 citations)
  • Epstein-Barr virus infection modulates blood-brain barrier cells and its co-infection with Plasmodium falciparum induces RBC adhesion. (5 citations)
  • Identifying virulence determinants of multidrug-resistant Klebsiella pneumoniae in Galleria mellonella (4 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 Pathogens and Disease (based on the number of publications) are:

  • Thomas Bjarnsholt (10 papers) absent at the last edition,
  • Gilbert Greub (10 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Tom Coenye (10 papers) absent at the last edition,
  • Niels Høiby (9 papers) absent at the last edition,
  • Servaas A. Morré (7 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Pathogens and Disease (based on the number of publications) are:

  • University of Maryland, Baltimore (68 papers) published 2 papers at the last edition the same number as at the previous edition,
  • National Institutes of Health (19 papers) published 1 paper at the last edition,
  • University of Copenhagen (19 papers) absent at the last edition,
  • National Autonomous University of Mexico (17 papers) absent at the last edition,
  • University of São Paulo (14 papers) published 2 papers 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, 9.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.56% were posted by at least one author from the top 10 institutions publishing in the journal. Another 3.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.34% of all publications and 62.71% 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

  • Hacking the host: exploitation of macrophage polarization by intracellular bacterial pathogens

    Joseph D Thiriot;Yazmin B Martinez-Martinez;Janice J Endsley;Alfredo G Torres

    (2020)
    74 Citations
  • The origin of extracellular DNA in bacterial biofilm infections in vivo.

    Maria Alhede;Morten Alhede;Klaus Qvortrup;Kasper Nørskov Kragh

    (2020)
    57 Citations
  • Comparison of SARS-CoV-2 RT-PCR on a high-throughput molecular diagnostic platform and the cobas SARS-CoV-2 test for the diagnostic of COVID-19 on various clinical samples.

    Onya Opota;René Brouillet;Gilbert Greub;Gilbert Greub;Katia Jaton

    (2020)
    44 Citations
  • Identifying virulence determinants of multidrug-resistant Klebsiella pneumoniae in Galleria mellonella

    Sebastian Bruchmann;Sebastian Bruchmann;Theresa Feltwell;Theresa Feltwell;Julian Parkhill;Francesca L Short;Francesca L Short;Francesca L Short

    (2021)
    41 Citations
  • UtilisingGalleria mellonella larvae for studying in vivo activity of conventional and novel antimicrobial agents.

    Magdalena Piatek;Gerard Sheehan;Kevin Kavanagh

    (2020)
    29 Citations
  • Fungal immunity and pathogenesis in mammals versus the invertebrate model organism Galleria mellonella.

    Daniel F Q Smith;Arturo Casadevall

    (2021)
    28 Citations
  • Ehrlichia TRP effectors: moonlighting, mimicry and infection.

    Caitlan D. Byerly;La Nisha L. Patterson;Jere W. McBride

    (2021)
    26 Citations
  • Candida auris: a fungus with identity crisis.

    Taissa Vila;Ahmed S Sultan;Daniel Montelongo-Jauregui;Mary Ann Jabra-Rizk

    (2020)
    26 Citations
  • Interaction between Lactobacillus reuteri and periodontopathogenic bacteria using in vitro and in vivo (G. mellonella) approaches.

    Thaís Aguiar Santos;Liliana Scorzoni;Raquel Correia;Juliana Campos Junqueira

    (2020)
    17 Citations
  • How can we interpret SARS-CoV-2 antibody test results?

    Sofie Føns;Karen A Krogfelt

    (2021)
    16 Citations

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