Total 2,448,388 scientists, country 221, and institutions 24,477 are evaluated in the Productivity Rankings, an exclusive service provided by AD Scientific Index. This ranking measures and highlights the scientific productivity of researchers based on the i10 index (number of publications with at least 10 citations). This system identifies highly productive scientists across disciplines, institutions, and regions, contributing to the development of evidence-based academic policies and effective incentive mechanisms. The rankings include global, regional, and institutional analyses, along with specialized rankings such as Scientists' Last 6 Years' i10 Index and Universities' i10 Index Rankings 2025. With Premium Membership, you can:
- Gain full access to detailed comparisons and advanced analytics,
- Objectively evaluate your academic productivity,
- Make strategic, data-driven decisions to enhance performance.
* Total i10 IndexRankings
Ranking Based On Selection: 1
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Bioinformatics
non-coding RNA
lncRNA
multi-omics
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
97
78
0.804
* Total i10 IndexRankings
Ranking Based On Selection: 2

Compute Architecture
HPC
Memory-centric Architectures
Bioinformatics
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
5
5
1.000
* Total i10 IndexRankings
Ranking Based On Selection: 3

single cell
multi omics
spatial transcriptomics
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
3
3
1.000
Yi Zhao | 赵屹
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
97
78
0.804
Bioinformatics
non-coding RNA
lncRNA
multi-omics
Xueqi Li
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
5
5
1.000
Compute Architecture
HPC
Memory-centric Architectures
Bioinformatics
Xiaoning Qi
i-10 Metrics
Total
Last 6 Years
Last 6 Years / Total
3
3
1.000
single cell
multi omics
spatial transcriptomics