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Japanese Journal of Infectious Diseases
H-index 16

Japanese Journal of Infectious Diseases

1344-6304

Published by: National Institute of Infectious Diseases

https://www.niid.go.jp/niid/en/jjid.html#

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Microbiology 160 44 76 13

Additional Metrics

Number of Best Scientists*: 91
Documents by Best Scientists*: 128
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 62
SCIMAGO SJR: 0.379
Impact Factor: 1.1

Overview

Top Research Topics at Japanese Journal of Infectious Diseases?

Japanese Journal of Infectious Diseases was organized to reinforce research efforts on Virology, Microbiology, Internal medicine, Outbreak and Immunology. Specifically, studies on Virus are prevalent in the Virology works discussed. The studies on Microbiology discussed can also contribute to research in the domains of Gene and Escherichia coli.

The journal explores research in Internal medicine and the adjacent study of Gastroenterology.

  • Virology (32.76%)
  • Microbiology (25.90%)
  • Internal medicine (12.95%)

What are the most cited papers published in the journal?

  • Development of Genetic Diagnostic Methods for Detection for Novel Coronavirus 2019(nCoV-2019) in Japan. (246 citations)
  • Defense mechanisms against influenza virus infection in the respiratory tract mucosa. (219 citations)
  • Mechanisms of broad cross-protection provided by influenza virus infection and their application to vaccines. (184 citations)

Research areas of the most cited articles at Japanese Journal of Infectious Diseases:

The most cited articles primarily tackle Virology, Microbiology, Internal medicine, Immunology and Outbreak. While Virology is the focus of the published articles, it also provides insights into the studies of Antibody and Genotype. Acquired immunodeficiency syndrome (AIDS) and Diarrhea are some topics wherein Immunology research discussed in the most cited publications has an impact.

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

  • Internal medicine
  • Disease
  • Virus

The previous edition focused in particular on these issues:

Japanese Journal of Infectious Diseases tackles a plethora of topics, such as Internal medicine, Coronavirus disease 2019 (COVID-19), Virology, Microbiology and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The journal explores research in Internal medicine alongside concepts in Gastroenterology and other areas of study in Risk factor. The Coronavirus disease 2019 (COVID-19) studies discussed in Japanese Journal of Infectious Diseases incorporate research from disciplines like

  • Pediatrics that intertwine with fields like Vaccination, Disease and Epidemiology,
  • Respiratory system that connect with fields like Polymerase chain reaction..

While Virology is the focus of Japanese Journal of Infectious Diseases, it also provided insights into the studies of Cell culture and Antibody. The research on Microbiology featured in the journal combines topics in other fields like Gene, Genotype and Virulence. It facilitates discussions on Outbreak that incorporate concepts from other fields like Demography and Serotype.

The most cited articles from the last journal are:

  • Increased secondary infection in COVID-19 patients treated with steroids in New York City. (13 citations)
  • Predictors of coronavirus disease 2019 severity: A retrospective study of 64 cases. (11 citations)
  • Assessment of Galectin-1, Galectin-3, and PGE2 Levels in Patients with COVID-19. (6 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 Japanese Journal of Infectious Diseases (based on the number of publications) are:

  • Hiroshi Yoshikura (42 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Teruo Kirikae (41 papers) absent at the last edition,
  • Nobuhiko Okabe (36 papers) absent at the last edition,
  • Katsumi Mizuta (34 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Tadatoshi Kuratsuji (31 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 Japanese Journal of Infectious Diseases (based on the number of publications) are:

  • National Institutes of Health (432 papers) published 22 papers at the last edition, 2 less than at the previous edition,
  • Nagasaki University (64 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Centers for Disease Control and Prevention (61 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • University of Tokyo (57 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Mahidol University (42 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, 13.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.55% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.68% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.41% of all publications and 50.36% 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

  • Development of Genetic Diagnostic Methods for Detection for Novel Coronavirus 2019(nCoV-2019) in Japan.

    Kazuya Shirato;Naganori Nao;Harutaka Katano;Ikuyo Takayama

    (2020)
    563 Citations
  • Epidemiology of COVID-19 Outbreak in Japan, from January-March 2020.

    Yuki Furuse;Yura K Ko;Mayuko Saito;Yugo Shobugawa

    (2020)
    89 Citations
  • Cluster-Based Approach to Coronavirus Disease 2019 (COVID-19) Response in Japan, from February to April 2020.

    Hitoshi Oshitani

    (2020)
    69 Citations
  • Japan Nosocomial Infections Surveillance (JANIS): Current Status, International Collaboration, and Future Directions for a Comprehensive Antimicrobial Resistance Surveillance System

    Toshiki Kajihara;Koji Yahara;Aki Hirabayashi;Keigo Shibayama

    (2021)
    48 Citations
  • Assessment of Real-Time RT-PCR Kits for SARS-CoV-2 Detection.

    Kiyoko Okamaoto;Kazuya Shirato;Naga Naganori Nao;Shinji Saito

    (2020)
    40 Citations
  • Genome Recombination between the Delta and Alpha Variants of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)

    (2022)
    32 Citations
  • Inactivation of SARS-CoV-2 by Catechins from Green Tea.

    Hidekazu Nishimura;Michiko Okamoto;Isolde Dapat;Masanori Katsumi

    (2021)
    29 Citations
  • Single-Tube Multiplex Polymerase Chain Reaction for the Detection of Genes Encoding Enterobacteriaceae Carbapenemase.

    Masanori Watahiki;Ryuji Kawahara;Masahiro Suzuki;Miyako Aoki

    (2020)
    21 Citations
  • Predictors of coronavirus disease 2019 severity: A retrospective study of 64 cases.

    Huihuang Huang;Bing Song;Zhe Xu;Yanmei Jiao

    (2021)
    21 Citations
  • Finding a needle in a haystack - in silico search for environmental traces of Candida auris.

    (2022)
    19 Citations

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