Question 1

Which countries lead Genetics and Physical Performance research?

Accepted Answer

By volume, the United States and China publish the most (397 and 255 works in 2022-now).

Question 2

Which institutions lead Genetics and Physical Performance research?

Accepted Answer

By volume in 2022-now, Justus-Liebig-Universität Gießen publishes the most Genetics and Physical Performance research, followed by Witten/Herdecke University and University of North Carolina at Chapel Hill.

Question 3

Who are the leading researchers in Genetics and Physical Performance?

Accepted Answer

The most-cited researchers publishing on Genetics and Physical Performance include George Davey Smith, Walter Churchill Willett and Hermann Brenner.

Question 4

Where is Genetics and Physical Performance research done?

Accepted Answer

The largest centres of Genetics and Physical Performance research in 2022-now are Beijing (China), São Paulo (Brazil), Moscow (Russia) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Witten and Giessen.

Question 5

Where is the best place to study Genetics and Physical Performance?

Accepted Answer

Among universities, judged by research, Gdansk University of Physical Education and Sport, Witten/Herdecke University and Harvard 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.

Question 6

Is Genetics and Physical Performance research growing?

Accepted Answer

Output in 2022-2025 was 16% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Genetics and Physical Performance.

Question 7

What are the most cited papers in Genetics and Physical Performance?

Accepted Answer

The most cited paper in Genetics and Physical Performance is "SNPStats: a web tool for the analysis of association studies" (Xavier Solé, Elisabet Guinó, Joan Valls et al., 2006), with 2,058 citations. Next come "An assessment of maturity from anthropometric measurements" (2,056) and "GenABEL: an R library for genome-wide association analysis" (1,993).