Science Explorer Interactive view Map
Topic · Pharmacology

Coffee research and impacts

Coffee research and impacts is a research topic within Pharmacology. Science Explorer counts 13k research works in it since 1950. 19.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the effects of caffeine, coffee, and related compounds on human health, including their impact on metabolism, cognitive performance, type 2 diabetes, cardiovascular disease, and antioxidant activity. It also delves into the potential risks associated with energy drink consumption and the role of chlorogenic acid in health outcomes.

  • Caffeine
  • Coffee
  • Health Effects
  • Energy Drinks
  • Chlorogenic Acid
  • Metabolism
  • Antioxidant Activity
  • Cognitive Performance
  • Type 2 Diabetes
  • Cardiovascular Disease
Research works
13k
fractional, since 1950
In the world top 10%
2.6k
per year above
Top-10% rate
19.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+63%
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 Coffee research and impacts research?

By volume, Indonesia and Brazil publish the most (471 and 444 works in 2022–2025).

By volume, 2022–2025

  1. 1 Indonesia 471 works
  2. 2 Brazil 444 works
  3. 3 United States 279 works
  4. 4 China 254 works
  5. 5 India 101 works
  6. 6 Italy 96 works
  7. 7 Mexico 95 works
  8. 8 Poland 88 works
  9. 9 Colombia 86 works
  10. 10 Ethiopia 81 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.

Indonesia: 23.6%Brazil: 22.3%United States: 14.0%China: 12.8%6 others listed: 27.4%24%largest
Indonesia471 · 23.6%Brazil444 · 22.3%United States279 · 14.0%China254 · 12.8%6 others listed547 · 27.4%

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

Which institutions lead Coffee research and impacts research?

By volume in 2022–2025, Universidade Federal de Lavras publishes the most Coffee research and impacts research, followed by Centro Nacional de Investigaciones de Café and Universitas Syiah Kuala.

By volume, 2022–2025

  1. 1 Universidade Federal de LavrasBrazil 47 works
  2. 2 Centro Nacional de Investigaciones de Café?? 45 works
  3. 3 Universitas Syiah KualaIndonesia 43 works
  4. 4 Ethiopian Institute of Agricultural ResearchEthiopia 36 works
  5. 5 Universitas JemberIndonesia 29 works
  6. 6 University of BrawijayaIndonesia 29 works
  7. 7 Brazilian Agricultural Research CorporationBrazil 25 works
  8. 8 Universidade Federal de ViçosaBrazil 25 works
  9. 9 Universidade Federal do Espírito SantoBrazil 25 works
  10. 10 IPB UniversityIndonesia 20 works

Where is Coffee research and impacts research done?

The largest centres of Coffee research and impacts research in 2022–2025 are São Paulo (Brazil), Jakarta (Indonesia), Lavras (Brazil) and Banda Aceh (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Manizales and Lavras.

Largest cities, 2022–2025

  1. 1 São Paulo Brazil 55 works
  2. 2 Jakarta Indonesia 52 works
  3. 3 Lavras Brazil 47 works
  4. 4 Banda Aceh Indonesia 45 works
  5. 5 Manizales ?? 45 works
  6. 6 Addis Ababa Ethiopia 44 works
  7. 7 Vitória Brazil 42 works
  8. 8 Malang Indonesia 37 works
  9. 9 Jember Indonesia 36 works
  10. 10 Beijing China 36 works

Where it is the local speciality

  1. Manizales44.9 works1540×
  2. LavrasBR · 47.4 works85×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Coffee research and impacts than the world average.

See Coffee research and impacts on the map

Where is the best place to study Coffee research and impacts?

Among universities, judged by research, Universitas Syiah Kuala, Universidade Federal do Espírito Santo and Universidade Federal de Lavras 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 19.44%fractional works in this node (log) →share in the world top 10% →Universitas Syiah Kuala: 43, 11.7%Universidade Federal do Espírito Santo: 25, 17.8%Universidade Federal de Lavras: 47, 16.4%Ethiopian Institute of Agricultural Research: 36, 7.8%Jimma University: 14, 16.9%Universidade Federal de Viçosa: 25, 21.3%IPB University: 20, 15.5%National University Toribio Rodríguez de Mendoza: 9, 37.8%Yunnan Agricultural University: 10, 45.9%Universitas Jember: 29, 3.3%Universidade Federal…Universidade Federal…Universitas Syiah Ku…Ethiopian Institute …
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 Universitas Syiah KualaIndonesia 67.711.7%29.9×43 +942.9%
2 Universidade Federal do Espírito SantoBrazil 67.717.8%23.8×25 +233.7%
3 Universidade Federal de LavrasBrazil 67.416.4%85.3×47 +69.5%
4 Ethiopian Institute of Agricultural ResearchEthiopia 64.37.8%91.6×36 +765.9%
5 Jimma UniversityEthiopia 63.216.9%34.1×14 +289.5%
6 Universidade Federal de ViçosaBrazil 62.721.3%29.1×25 +63.6%
7 IPB UniversityIndonesia 61.815.5%10.4×20 +397.5%
8 National University Toribio Rodríguez de MendozaPeru 61.537.8%91.0×9 —
9 Yunnan Agricultural UniversityChina 58.645.9%27.0×10 -66.4%
10 Universitas JemberIndonesia 56.63.3%15.1×29 +281.3%

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 Coffee research and impacts research growing?

Output in 2018–2022 was 63% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Coffee research and impacts.

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.