Doping in Sports
Doping in Sports is a research topic within Sociology and Political Science. Science Explorer counts 7.2k research works in it since 1950. 19.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the ethical, societal, and psychological implications of doping in sport. It covers topics such as athletes' attitudes towards doping, anti-doping policies, prevalence of doping, corruption in sports, and the role of athlete support personnel. The papers also delve into the moral disengagement and social cognitive factors influencing doping behavior among athletes.
- Doping
- Performance-Enhancing Drugs
- Athletes' Attitudes
- Anti-Doping Policy
- Sport Ethics
- Youth Doping
- Corruption in Sports
- Athlete Support Personnel
- Doping Prevalence
- Moral Disengagement
- Research works
- 7.2k fractional, since 1950
- In the world top 10%
- 1.4k per year above
- Top-10% rate
- 19.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +15% the tick is no change
Which countries lead Doping in Sports research?
By volume, the United States and the United Kingdom publish the most (248 and 133 works in 2022–2025).
By volume, 2022–2025
- 1 United States 248 works
- 2 United Kingdom 133 works
- 3 France 99 works
- 4 Germany 72 works
- 5 Canada 62 works
- 6 Australia 59 works
- 7 Brazil 49 works
- 8 Russia 49 works
- 9 China 44 works
- 10 India 42 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 Doping in Sports research?
By volume in 2022–2025, Pennsylvania State University publishes the most Doping in Sports research, followed by University of Lausanne and University of Toronto.
By volume, 2022–2025
- 1 Pennsylvania State University United States 14 works
- 2 University of Lausanne Switzerland 13 works
- 3 University of Toronto Canada 11 works
- 4 German Sport University Cologne Germany 11 works
- 5 Charles University Czechia 10 works
- 6 Manchester Metropolitan University United Kingdom 7 works
- 7 State University of Physical Education and Sport Moldova 7 works
- 8 Azerbaijan State Marine Academy Azerbaijan 7 works
- 9 St Petersburg University Russia 6 works
- 10 Swansea University United Kingdom 6 works
Where is Doping in Sports research done?
The largest centres of Doping in Sports research in 2022–2025 are Moscow (Russia), Paris (France), Lausanne (Switzerland) and London (United Kingdom).
Largest cities, 2022–2025
Where is the best place to study Doping in Sports?
Among universities, judged by research, University of Lausanne, Charles University and Pennsylvania State University 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of Lausanne Switzerland | 81.7 | 27.6% | 28.0× | 13 | +55.3% |
| 2 | Charles University Czechia | 69.5 | 25.2% | 15.3× | 10 | +241.0% |
| 3 | Pennsylvania State University United States | 68.4 | 21.5% | 10.1× | 14 | +105.5% |
| 4 | University of Toronto Canada | 46.1 | 31.0% | 5.5× | 11 | +40.4% |
| 5 | German Sport University Cologne Germany | 32.5 | 9.1% | 133.1× | 11 | +35.8% |
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 Doping in Sports research growing?
Output in 2018–2022 was 15% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Doping in Sports.
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.