Paleopathology and ancient diseases
Paleopathology and ancient diseases is a research topic within Archeology. Science Explorer counts 8.5k research works in it since 1950. 35.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on paleoparasitology, the study of ancient parasite infections and health conditions through the analysis of mummified remains, coprolites, and archaeological samples. It explores the presence of intestinal parasites, ancient DNA analysis, medical imaging techniques, and their implications for understanding human evolution and pathoecology. The research sheds light on the prevalence of parasite infections in ancient populations and their impact on human health throughout history.
- Paleoparasitology
- Ancient Health
- Parasite Infections
- Mummified Remains
- Archaeological Samples
- Intestinal Parasites
- Human Evolution
- Ancient DNA
- Medical Imaging
- Pathoecology
- Research works
- 8.5k fractional, since 1950
- In the world top 10%
- 3k per year above
- Top-10% rate
- 35.0% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +22% the tick is no change
Which countries lead Paleopathology and ancient diseases research?
By volume, the United States and France publish the most (221 and 146 works in 2022–2025).
By volume, 2022–2025
- 1 United States 221 works
- 2 France 146 works
- 3 United Kingdom 118 works
- 4 Italy 104 works
- 5 China 96 works
- 6 Spain 67 works
- 7 Germany 57 works
- 8 India 53 works
- 9 Russia 53 works
- 10 Brazil 45 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Paleopathology and ancient diseases research?
By volume in 2022–2025, University of Cambridge publishes the most Paleopathology and ancient diseases research, followed by Centre National de la Recherche Scientifique and Consejo Nacional de Investigaciones Científicas y Técnicas.
By volume, 2022–2025
- 1 University of CambridgeUnited Kingdom 14 works
- 2 Centre National de la Recherche ScientifiqueFrance 13 works
- 3 Consejo Nacional de Investigaciones Científicas y TécnicasArgentina 9 works
- 4 Sapienza University of RomeItaly 8 works
- 5 University of CoimbraPortugal 7 works
- 6 Durham UniversityUnited Kingdom 7 works
- 7 De la Préhistoire à l'Actuel : Culture, Environnement et AnthropologieFrance 7 works
- 8 Université de BordeauxFrance 7 works
- 9 University of MilanItaly 7 works
- 10 Universidad de GranadaSpain 6 works
Where is Paleopathology and ancient diseases research done?
The largest centres of Paleopathology and ancient diseases research in 2022–2025 are Paris (France), Beijing (China), London (United Kingdom) and Rome (Italy).
Where is the best place to study Paleopathology and ancient diseases?
Among universities, judged by research, University of Cambridge and Sapienza University of Rome 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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of CambridgeUnited Kingdom | 80.9 | 51.6% | 8.4× | 14 | +33.7% |
| 2 | Sapienza University of RomeItaly | 17.2 | 24.9% | 4.8× | 8 | +98.3% |
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 Paleopathology and ancient diseases research growing?
Output in 2018–2022 was 22% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Paleopathology and ancient diseases.
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.