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Topic · Parasitology

Vector-borne infectious diseases

Vector-borne infectious diseases is a research topic within Parasitology. Science Explorer counts 33k research works in it since 1950. 18.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the epidemiology, diagnosis, treatment, and prevention of tick-borne diseases such as Lyme disease, babesiosis, anaplasmosis, and various rickettsioses. It also explores the role of tick vectors, pathogen transmission, host-pathogen interactions, and the impact on public health.

  • Tick-Borne Diseases
  • Lyme Disease
  • Babesiosis
  • Anaplasmosis
  • Rickettsioses
  • Tick Vectors
  • Pathogen Transmission
  • Epidemiology
  • Host-Pathogen Interactions
  • Public Health
Research works
33k
fractional, since 1950
In the world top 10%
6.2k
per year above
Top-10% rate
18.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+16%
the tick is no change

Which countries lead Vector-borne infectious diseases research?

By volume, the United States and China publish the most (1.1k and 449 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.1k works
  2. 2 China 449 works
  3. 3 India 378 works
  4. 4 Brazil 349 works
  5. 5 France 190 works
  6. 6 Germany 159 works
  7. 7 Japan 122 works
  8. 8 Türkiye 119 works
  9. 9 Spain 119 works
  10. 10 United Kingdom 118 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.

United States: 35.4%China: 14.5%India: 12.2%Brazil: 11.2%6 others listed: 26.7%35%largest
United States1,099 · 35.4%China449 · 14.5%India378 · 12.2%Brazil349 · 11.2%6 others listed827 · 26.7%

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

Which institutions lead Vector-borne infectious diseases research?

By volume in 2022–2025, Fundação Oswaldo Cruz publishes the most Vector-borne infectious diseases research, followed by Centers for Disease Control and Prevention and Universidade Estadual Paulista (Unesp).

Who are the leading researchers in Vector-borne infectious diseases?

The most-cited researchers publishing on Vector-borne infectious diseases include Donal Bisanzio, Jun Wang and John F. Anderson.

  1. 1 Donal Bisanzio United States 3.7k citations
  2. 2 Jun Wang China 2.7k citations
  3. 3 John F. Anderson United States 2.6k citations

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

Where is Vector-borne infectious diseases research done?

The largest centres of Vector-borne infectious diseases research in 2022–2025 are Beijing (China), São Paulo (Brazil), Paris (France) and Bangkok (Thailand). Among places with at least 20 works in it, it is an unusually large share of all research in České Budějovice.

Largest cities, 2022–2025

  1. 1 Beijing China 79 works
  2. 2 São Paulo Brazil 79 works
  3. 3 Paris France 60 works
  4. 4 Bangkok Thailand 43 works
  5. 5 New York United States 40 works
  6. 6 Washington D.C. United States 39 works
  7. 7 Atlanta United States 37 works
  8. 8 Moscow Russia 35 works
  9. 9 Rio de Janeiro Brazil 35 works
  10. 10 Pretoria South Africa 34 works

Where it is the local speciality

  1. České BudějoviceCZ · 21.6 works31×
← less than its size predictsmore →

Location quotient: how much more of its research is in Vector-borne infectious diseases than the world average.

See Vector-borne infectious diseases on the map

Where is the best place to study Vector-borne infectious diseases?

Among universities, judged by research, Washington State University, École Nationale Vétérinaire d'Alfort and The University of Texas Medical Branch at Galveston 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 23.69%fractional works in this node (log) →share in the world top 10% →Washington State University: 18, 28.2%École Nationale Vétérinaire d'Alfort: 9, 30.4%The University of Texas Medical Branch at Galveston: 15, 24.8%University of Veterinary Medicine Hannover, Foundation: 13, 32.0%University of Veterinary and Animal Sciences: 13, 11.1%Oklahoma State University: 16, 20.1%Dali University: 11, 31.4%Obihiro University of Agriculture and Veterinary Medicine: 16, 13.0%Hebei Normal University: 13, 11.5%Yale University: 18, 34.4%University of Veteri…École Nationale Vété…Washington State Uni…The University of Te…
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 Washington State UniversityUnited States 69.328.2%13.7×18 -11.7%
2 École Nationale Vétérinaire d'AlfortFrance 67.530.4%112.3×9 +108.7%
3 The University of Texas Medical Branch at GalvestonUnited States 63.724.8%17.9×15 +11.1%
4 University of Veterinary Medicine Hannover, FoundationGermany 62.832.0%52.2×13 -58.8%
5 University of Veterinary and Animal SciencesPakistan 61.711.1%40.5×13 +92.9%
6 Oklahoma State UniversityUnited States 59.420.1%18.6×16 -15.4%
7 Dali UniversityChina 57.831.4%34.0×11 -27.9%
8 Obihiro University of Agriculture and Veterinary MedicineJapan 57.213.0%176.4×16 -1.9%
9 Hebei Normal UniversityChina 56.411.5%24.9×13 +81.3%
10 Yale UniversityUnited States 55.434.4%3.6×18 -12.3%

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 Vector-borne infectious diseases research growing?

Output in 2018–2022 was 16% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Vector-borne infectious diseases.

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.