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Topic · Periodontics

Oral Health Pathology and Treatment

Oral Health Pathology and Treatment is a research topic within Periodontics. Science Explorer counts 28k research works in it since 1950. 13.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the nomenclature, classification, pathogenesis, diagnosis, management, and malignant transformation risk of oral mucosal disorders, particularly oral lichen planus and potentially malignant disorders. It also explores the epidemiology of areca nut usage, diagnostic aids for detection of oral cancer, and the clinical features and systemic associations of these disorders.

  • Oral Mucosal Disorders
  • Potentially Malignant Disorders
  • Malignant Transformation
  • Oral Lichen Planus
  • Areca Nut Usage
  • Diagnostic Aids
  • Epidemiology
  • Pathogenesis
  • Clinical Management
  • Risk Factors
Research works
28k
fractional, since 1950
In the world top 10%
3.8k
per year above
Top-10% rate
13.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+37%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Oral Health Pathology and Treatment research?

By volume, India and China publish the most (1.2k and 646 works in 2022–2025).

By volume, 2022–2025

  1. 1 India 1.2k works
  2. 2 China 646 works
  3. 3 United States 645 works
  4. 4 Brazil 252 works
  5. 5 United Kingdom 180 works
  6. 6 Japan 171 works
  7. 7 Italy 169 works
  8. 8 Iran 159 works
  9. 9 Russia 147 works
  10. 10 Indonesia 144 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

India: 32.3%China: 17.4%United States: 17.4%Brazil: 6.8%6 others listed: 26.1%32%largest
India1,197 · 32.3%China646 · 17.4%United States645 · 17.4%Brazil252 · 6.8%6 others listed969 · 26.1%

Shares of the rows listed above, not of the whole node.

Which institutions lead Oral Health Pathology and Treatment research?

By volume in 2022–2025, Saveetha University publishes the most Oral Health Pathology and Treatment research, followed by Datta Meghe Institute of Higher Education and Research and Sichuan University.

Who are the leading researchers in Oral Health Pathology and Treatment?

The most-cited researchers publishing on Oral Health Pathology and Treatment include Ravi Mehrotra.

  1. 1 Ravi Mehrotra India 3.1k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Oral Health Pathology and Treatment research done?

The largest centres of Oral Health Pathology and Treatment research in 2022–2025 are Chennai (India), Beijing (China), New Delhi (India) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wardha.

Largest cities, 2022–2025

  1. 1 Chennai India 155 works
  2. 2 Beijing China 86 works
  3. 3 New Delhi India 66 works
  4. 4 Shanghai China 65 works
  5. 5 São Paulo Brazil 61 works
  6. 6 London United Kingdom 58 works
  7. 7 Bengaluru India 55 works
  8. 8 Moscow Russia 54 works
  9. 9 Tehran Iran 50 works
  10. 10 Karachi Pakistan 47 works

Where it is the local speciality

  1. WardhaIN · 26.0 works18×
← less than its size predictsmore →

Location quotient: how much more of its research is in Oral Health Pathology and Treatment than the world average.

See Oral Health Pathology and Treatment on the map

Where is the best place to study Oral Health Pathology and Treatment?

Among universities, judged by research, Saveetha University, Grigore T. Popa University of Medicine and Pharmacy and Dr. D.Y. Patil Vidyapeeth, Pune score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 12.55%fractional works in this node (log) →share in the world top 10% →Saveetha University: 73, 8.9%Grigore T. Popa University of Medicine and Pharmacy: 9, 29.8%Dr. D.Y. Patil Vidyapeeth, Pune: 16, 4.9%Datta Meghe Institute of Higher Education and Research: 25, 2.5%Chinese Academy of Medical Sciences & Peking Union Medical College: 19, 25.9%Wuhan University: 13, 37.5%Dr D Y Patil Dental College & Hospital: 13, 3.1%Dow University of Health Sciences: 9, 7.6%Institute of Medical Sciences: 18, 0.0%Kamineni Institute of Dental Sciences: 19, 5.3%Grigore T. Popa Univ…Saveetha UniversityDr. D.Y. Patil Vidya…Datta Meghe Institut…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Saveetha UniversityIndia 67.98.9%13.4×73 +166.2%
2 Grigore T. Popa University of Medicine and PharmacyRomania 58.529.8%18.4×9 +71.1%
3 Dr. D.Y. Patil Vidyapeeth, PuneIndia 51.94.9%29.8×16 +199.7%
4 Datta Meghe Institute of Higher Education and ResearchIndia 51.42.5%19.8×25 +178.9%
5 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 50.625.9%3.6×19 +171.3%
6 Wuhan UniversityChina 50.037.5%2.0×13 +138.2%
7 Dr D Y Patil Dental College & HospitalIndia 47.53.1%69.9×13 +170.0%
8 Dow University of Health SciencesPakistan 46.87.6%13.2×9 +121.3%
9 Institute of Medical SciencesIndia 46.60.0%10.2×18 +164.0%
10 Kamineni Institute of Dental SciencesIndia 45.85.3%59.8×19 +73.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Oral Health Pathology and Treatment research growing?

Output in 2018–2022 was 37% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Oral Health Pathology and Treatment.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.