Science Explorer Interactive view Map

Ocular Surface and Contact Lens

Ocular Surface and Contact Lens is a research topic within Public Health, Environmental and Occupational Health. Science Explorer counts 39k research works in it since 1950. 17.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the diagnosis, classification, epidemiology, pathophysiology, and management of dry eye disease. It covers topics such as ocular surface, tear film, meibomian gland dysfunction, corneal nerves, inflammatory cytokines, and the impact of contact lens wear on dry eye. The papers also discuss various diagnostic methodologies and the prevalence of dry eye in different populations.

  • Dry Eye Disease
  • Ocular Surface
  • Tear Film
  • Meibomian Gland Dysfunction
  • Corneal Nerves
  • Diagnostic Methodology
  • Epidemiology
  • Management and Therapy
  • Inflammatory Cytokines
  • Contact Lens
Research works
39k
fractional, since 1950
In the world top 10%
7k
per year above
Top-10% rate
17.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+23%
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 Ocular Surface and Contact Lens research?

By volume, China and the United States publish the most (1.2k and 1k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 United States 1k works
  3. 3 India 676 works
  4. 4 Japan 261 works
  5. 5 Spain 245 works
  6. 6 Türkiye 236 works
  7. 7 United Kingdom 234 works
  8. 8 Germany 233 works
  9. 9 South Korea 221 works
  10. 10 Italy 204 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.

China: 27.1%United States: 22.4%India: 14.8%Japan: 5.7%6 others listed: 30.0%27%largest
China1,241 · 27.1%United States1,024 · 22.4%India676 · 14.8%Japan261 · 5.7%6 others listed1,372 · 30.0%

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

Which institutions lead Ocular Surface and Contact Lens research?

By volume in 2022–2025, L V Prasad Eye Institute publishes the most Ocular Surface and Contact Lens research, followed by Sun Yat-sen University and Wenzhou Medical University.

Who are the leading researchers in Ocular Surface and Contact Lens?

The most-cited researchers publishing on Ocular Surface and Contact Lens include Konrad Pesudovs, Tien Yin Wong and Colm McAlinden.

  1. 1 Konrad Pesudovs Australia 4.4k citations
  2. 2 Tien Yin Wong Singapore 4.3k citations
  3. 3 Colm McAlinden China 4.1k citations
  4. 4 Iris F. F. Benzie Hong Kong 3.7k citations

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

Where is Ocular Surface and Contact Lens research done?

The largest centres of Ocular Surface and Contact Lens research in 2022–2025 are Beijing (China), Shanghai (China), Seoul (South Korea) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Wenzhou.

Largest cities, 2022–2025

  1. 1 Beijing China 178 works
  2. 2 Shanghai China 112 works
  3. 3 Seoul South Korea 106 works
  4. 4 Moscow Russia 96 works
  5. 5 Guangzhou China 91 works
  6. 6 Hyderabad India 89 works
  7. 7 Tokyo Japan 86 works
  8. 8 London United Kingdom 72 works
  9. 9 Wenzhou China 70 works
  10. 10 Istanbul Türkiye 69 works

Where it is the local speciality

  1. WenzhouCN · 70.1 works12×
← less than its size predictsmore →

Location quotient: how much more of its research is in Ocular Surface and Contact Lens than the world average.

See Ocular Surface and Contact Lens on the map

Where is the best place to study Ocular Surface and Contact Lens?

Among universities, judged by research, Shenyang Pharmaceutical University, Wenzhou Medical University and UNSW Sydney 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%60%mean 33.1%fractional works in this node (log) →share in the world top 10% →Shenyang Pharmaceutical University: 9, 54.6%Wenzhou Medical University: 37, 41.5%UNSW Sydney: 35, 37.0%Aston University: 16, 33.3%Shandong First Medical University: 16, 34.2%Australian College of Optometry: 8, 28.5%University of Auckland: 15, 46.1%Tianjin Medical University: 19, 30.0%All India Institute of Medical Sciences: 34, 15.2%Saarland University: 16, 10.6%Shenyang Pharmaceuti…Wenzhou Medical Univ…UNSW SydneyAston University
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 Shenyang Pharmaceutical UniversityChina 63.954.6%10.7×9 +127.4%
2 Wenzhou Medical UniversityChina 61.941.5%16.5×37 -23.0%
3 UNSW SydneyAustralia 57.337.0%6.4×35 +38.7%
4 Aston UniversityUnited Kingdom 56.733.3%19.7×16 +10.2%
5 Shandong First Medical UniversityChina 54.334.2%9.5×16 +61.5%
6 Australian College of OptometryAustralia 52.728.5%208.0×8 +83.2%
7 University of AucklandNew Zealand 52.546.1%4.4×15 +106.6%
8 Tianjin Medical UniversityChina 51.630.0%15.0×19 -6.1%
9 All India Institute of Medical SciencesIndia 48.315.2%8.7×34 +39.2%
10 Saarland UniversityGermany 47.210.6%11.4×16 +72.8%

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 Ocular Surface and Contact Lens research growing?

Output in 2018–2022 was 23% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Ocular Surface and Contact Lens.

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.