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Topic · Plant Science

Phytochemistry Medicinal Plant Applications

Phytochemistry Medicinal Plant Applications is a research topic within Plant Science. Science Explorer counts 13k research works in it since 1950. 11.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the ethnobotanical survey, pharmacological studies, and traditional knowledge related to the use of medicinal and poisonous plants in Brazil. It covers topics such as the Brazilian Pharmacopoeia, toxicological studies, antioxidant activity, and healthcare practices associated with herbal medicines.

  • Medicinal Plants
  • Ethnobotany
  • Pharmacological Studies
  • Traditional Knowledge
  • Brazilian Pharmacopoeia
  • Herbal Medicines
  • Toxicological Studies
  • Antioxidant Activity
  • Cytotoxic Effects
  • Healthcare Practices
Research works
13k
fractional, since 1950
In the world top 10%
1.5k
per year above
Top-10% rate
11.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+40%
the tick is no change

Which countries lead Phytochemistry Medicinal Plant Applications research?

By volume, Brazil and the United States publish the most (2k and 139 works in 2022–2025).

By volume, 2022–2025

  1. 1 Brazil 2k works
  2. 2 United States 139 works
  3. 3 India 112 works
  4. 4 Germany 55 works
  5. 5 Portugal 51 works
  6. 6 Georgia 42 works
  7. 7 Spain 39 works
  8. 8 China 38 works
  9. 9 ?? 35 works
  10. 10 Mexico 33 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.

Brazil: 78.4%United States: 5.5%India: 4.5%Germany: 2.2%6 others listed: 9.4%78%largest
Brazil1,980 · 78.4%United States139 · 5.5%India112 · 4.5%Germany55 · 2.2%6 others listed238 · 9.4%

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

Which institutions lead Phytochemistry Medicinal Plant Applications research?

By volume in 2022–2025, Universidade Federal de Pernambuco publishes the most Phytochemistry Medicinal Plant Applications research, followed by Universidade Federal da Paraíba and Ilia State University.

Who are the leading researchers in Phytochemistry Medicinal Plant Applications?

The most-cited researchers publishing on Phytochemistry Medicinal Plant Applications include Isabel C.F.R. Ferreira and Lillian Barros.

  1. 1 Isabel C.F.R. Ferreira Portugal 1.5k citations
  2. 2 Lillian Barros Portugal 928 citations

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

Where is Phytochemistry Medicinal Plant Applications research done?

The largest centres of Phytochemistry Medicinal Plant Applications research in 2022–2025 are São Paulo (Brazil), Rio de Janeiro (Brazil), Recife (Brazil) and Belém (Brazil). Among places with at least 20 works in it, it is an unusually large share of all research in Feira de Santana.

Largest cities, 2022–2025

  1. 1 São Paulo Brazil 207 works
  2. 2 Rio de Janeiro Brazil 116 works
  3. 3 Recife Brazil 101 works
  4. 4 Belém Brazil 79 works
  5. 5 Manaus Brazil 61 works
  6. 6 Brasília Brazil 59 works
  7. 7 Salvador Brazil 57 works
  8. 8 Fortaleza Brazil 56 works
  9. 9 João Pessoa Brazil 54 works
  10. 10 Curitiba Brazil 53 works

Where it is the local speciality

  1. Feira de SantanaBR · 27.2 works77×
← less than its size predictsmore →

Location quotient: how much more of its research is in Phytochemistry Medicinal Plant Applications than the world average.

See Phytochemistry Medicinal Plant Applications on the map

Where is the best place to study Phytochemistry Medicinal Plant Applications?

Among universities, judged by research, Universidade Federal do Pará, Universidade Estadual de Campinas (UNICAMP) and Universidade Federal de Pernambuco 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%10%20%mean 8.46%fractional works in this node (log) →share in the world top 10% →Universidade Federal do Pará: 31, 13.7%Universidade Estadual de Campinas (UNICAMP): 21, 11.1%Universidade Federal de Pernambuco: 51, 5.3%Universidade Federal de Sergipe: 16, 11.3%Universidade do Estado do Pará: 12, 8.0%Universidade de Brasília: 18, 11.6%Universidade Federal de Viçosa: 10, 15.0%Universidade Federal do Amazonas: 32, 3.5%Ilia State University: 41, 1.4%Universidade Federal do Espírito Santo: 21, 3.7%Universidade Federal…Universidade Federal…Universidade Estadua…Universidade Federal…
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 Universidade Federal do ParáBrazil 76.513.7%26.4×31 +104.2%
2 Universidade Estadual de Campinas (UNICAMP)Brazil 65.411.1%9.5×21 +114.0%
3 Universidade Federal de PernambucoBrazil 63.45.3%34.7×51 +77.9%
4 Universidade Federal de SergipeBrazil 61.311.3%23.0×16 +62.6%
5 Universidade do Estado do ParáBrazil 61.38.0%32.9×12 +340.8%
6 Universidade de BrasíliaBrazil 61.211.6%11.1×18 +18.5%
7 Universidade Federal de ViçosaBrazil 59.315.0%12.6×10 -5.4%
8 Universidade Federal do AmazonasBrazil 59.03.5%49.3×32 +149.7%
9 Ilia State UniversityGeorgia 58.81.4%179.2×41
10 Universidade Federal do Espírito SantoBrazil 58.53.7%22.9×21 +292.5%

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 Phytochemistry Medicinal Plant Applications research growing?

Output in 2018–2022 was 40% higher than in 2013–2017, peaking in 2020. The fastest-growing topics are Phytochemistry Medicinal Plant Applications.

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.