World's Best Scientists 2026 revealed!
Journal of Dentistry
H-index 38

Journal of Dentistry

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 752 47 141 28

Additional Metrics

Number of Best Scientists*: 192
Documents by Best Scientists*: 415
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 146
SCIMAGO SJR: 1.53
Impact Factor: 5.5

Overview

Top Research Topics at Journal of Dentistry?

Journal of Dentistry is mainly concerned with subjects like Dentistry, Composite material, Orthodontics, Enamel paint and Molar. Journal of Dentistry holds forums on Dentistry that merges themes from other disciplines such as Randomized controlled trial and Clinical significance. Adhesive, Composite number, Bond strength, Dental bonding and Ultimate tensile strength are Composite material topics of special interest in it.

Many of the studies tackled connect Enamel paint with a similar field of study like Nuclear chemistry.

  • Dentistry (47.03%)
  • Composite material (17.91%)
  • Orthodontics (13.38%)

What are the most cited papers published in the journal?

  • An overview of zirconia ceramics: Basic properties and clinical applications (842 citations)
  • The dentin substrate: structure and properties related to bonding. (744 citations)
  • Thermal cycling procedures for laboratory testing of dental restorations. (723 citations)

Research areas of the most cited articles at Journal of Dentistry:

The most cited publications tackle a plethora of topics, such as Dentistry, Composite material, Enamel paint, Adhesive and Orthodontics. The most cited publications focus on Dentistry but the discussions also offer insight into other areas such as Clinical trial and Randomized controlled trial. The published articles hold forums on Enamel paint that merge themes from other disciplines such as Toothpaste and Nuclear chemistry.

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

  • Internal medicine
  • Composite material
  • Surgery

The previous edition focused in particular on these issues:

The journal focuses on Dentistry, Clinical significance, Enamel paint, Nuclear chemistry and Randomized controlled trial. The studies on Dentistry discussed can also contribute to research in the domains of Meta-analysis and Statistical significance. Demineralization is a key component of Enamel paint research discussed in the journal.

While work presented in it provided substantial information on Nuclear chemistry, it also covered topics in Remineralisation and Dentin. The work on Dentin addressed in Journal of Dentistry expands to the thematically related Bond strength. The journal tackled Bond strength research as part of investigation of Adhesive and Composite material.

The most cited articles from the last journal are:

  • A systematic review of droplet and aerosol generation in dentistry. (26 citations)
  • Evaluating contaminated dental aerosol and splatter in an open plan clinic environment: Implications for the COVID-19 pandemic. (22 citations)
  • Artificial intelligence in dental research: Checklist for authors, reviewers, readers (15 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 Journal of Dentistry (based on the number of publications) are:

  • Junji Tagami (67 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • David C. Watts (66 papers) absent at the last edition,
  • Christopher D. Lynch (63 papers) published 7 papers at the last edition, 1 more than at the previous edition,
  • Andrew Richardson (62 papers) absent at the last edition,
  • John F. McCabe (57 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 Journal of Dentistry (based on the number of publications) are:

  • Tehran University of Medical Sciences (281 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Shiraz University of Medical Sciences (194 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • University of São Paulo (168 papers) published 16 papers at the last edition, 5 more than at the previous edition,
  • King's College London (153 papers) published 17 papers at the last edition, 1 less than at the previous edition,
  • University of Manchester (138 papers) absent at the last 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, 0.79% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.49% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.51% of all publications and 39.44% 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.

Career Opportunities and Further Studies

While a degree in dentistry opens up several career paths, many professionals choose to specialize further by pursuing related fields of study. Advancing your career through additional education or diversifying your skills can give you a competitive edge in your profession.

For example, many dental professionals undertake a degree in nursing to broaden their healthcare knowledge and practice. Gaining a nursing qualification can open up opportunities such as becoming a pediatric nurse specialist, family nurse practitioner or an emergency nurse practitioner. These roles allow professionals to have broader interaction with patients and be involved in many aspects of patient care and treatment planning.

If you are interested in expanding your career prospects, it's crucial to choose a reputable institution for further studies. Consider studying at one of the best nursing schools in Kansas that provides quality education to fuel your professional growth.

Regardless of your career path choice, continuing your education will always yield personal and professional advancement. Therefore, it’s never a bad idea to explore our options and find the right fit for your career aspirations.

Top Publications

  • Deep Learning for Caries Detection: A Systematic Review: DL for Caries Detection.

    (2022)
    279 Citations
  • Artificial intelligence in dental research: Checklist for authors, reviewers, readers

    Falk Schwendicke;Tarry Singh;Jae-Hong Lee;Robert Gaudin

    (2021)
    216 Citations
  • Detecting caries lesions of different radiographic extension on bitewings using deep learning.

    Anselmo Garcia Cantu;Sascha Gehrung;Joachim Krois;Akhilanand Chaurasia

    (2020)
    203 Citations
  • Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study

    Falk Schwendicke;Karim Elhennawy;Sebastian Paris;Philipp Friebertshäuser

    (2020)
    134 Citations
  • Impact of SARS-CoV2 (Covid-19) on dental practices: Economic analysis.

    Falk Schwendicke;Joachim Krois;Jesus Gomez

    (2020)
    126 Citations
  • Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.

    Pieter-Jan Verhelst;Andreas Smolders;Thomas Beznik;Jeroen Meewis

    (2021)
    103 Citations
  • Deep learning: A primer for dentists and dental researchers.

    (2023)
    98 Citations
  • Artificial Intelligence for Caries Detection: Randomized Trial

    Sarah Mertens;Joachim Krois;Anselmo Garcia Cantu;Lubaina T. Arsiwala

    (2021)
    90 Citations
  • Sleep bruxism and temporomandibular disorders: A scoping review of the literature.

    Daniele Manfredini;Frank Lobbezoo

    (2021)
    84 Citations
  • Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT.

    Pierre Lahoud;Siebe Diels;Liselot Niclaes;Stijn Van Aelst

    (2022)
    79 Citations

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Best Scientists Contributing to This Journal