2019 Global Ranking of Academic Subjects

.
ShanghaiRanking first introduced the world university rankings by academic subjects in 2009, which was officially renamed the ShanghaiRanking's Global Ranking of Academic Subjects (GRAS) in 2017. GRAS evaluates world universities across 57 subjects in the fields of Natural Sciences, Engineering, Life Sciences, Medical Sciences, and Social Sciences. GRAS is based on nine objective indicators grouped into five categories: World-Class Faculty, World-Class Research Output, High-Quality Research, Research Impact, and International Collaboration. Each year, GRAS presents around 20,000 subject units from approximately 2,000 universities across some 100 countries and regions.
Read More
300 Institutions
World Rank Institution
Total Score
PUB
CNCI
IC
TOP
AWARD
1
China
279.7 86.1 80.2 67.3 100.0
2
China
256.0 100.0 65.1 60.3 78.9
3
China
250.8 93.1 63.3 55.0 83.3
4
China
247.8 77.6 76.4 63.4 81.1
5
China
247.5 87.6 66.2 62.1 81.2
6
Singapore
246.3 65.4 83.1 84.8 80.9
7
Singapore
236.1 50.4 100.0 79.3 69.9
8
Canada
234.1 50.4 97.1 84.8 69.6
9
China
227.9 59.7 81.5 74.7 71.7
10
China
227.1 69.2 68.4 64.8 76.5
11
Canada
223.8 51.2 85.5 87.0 69.8
12
China
215.3 57.5 78.8 72.0 64.6
13
United Kingdom
214.6 45.8 87.5 78.5 65.6
14
France
213.7 44.4 96.1 84.1 56.4
15
Hong Kong, China
213.6 52.0 80.2 61.0 69.2
16
United States
210.1 48.6 82.6 75.5 63.8
17
United States
209.0 40.0 100.0 69.1 55.1
18
Hong Kong, China
208.7 44.7 87.2 69.9 62.8
19
Singapore
205.7 35.9 98.5 94.9 52.3
20
United States
203.7 36.9 95.0 93.1 53.2
21
Sweden
200.9 49.5 74.6 85.8 59.7
22
Finland
198.8 47.1 78.0 80.3 57.6
23
China
196.2 45.6 80.6 74.3 55.1
24
China
194.3 59.6 64.9 72.6 55.3
25
China
193.5 49.4 72.8 65.1 58.3
26
United States
192.8 32.5 100.0 91.2 42.0
27
South Korea
192.6 56.3 66.1 54.7 59.3
28
United Kingdom
191.2 32.2 100.0 84.7 42.0
29
Australia
190.7 38.1 86.0 81.6 50.3
30
United Kingdom
190.4 40.8 84.3 82.1 48.8
* Institutions within the same rank range are listed alphabetically.
GRAS Tracker
Explore the full dataset behind
GRAS