Standout Papers

A benchmark of batch-effect correction methods for single-cell RNA sequencing data 2020 2026 2022 2024589
  1. A benchmark of batch-effect correction methods for single-cell RNA sequencing data (2020)
    Hoa Thi Tran, Kok Siong Ang et al. Genome biology

Immediate Impact

24 from Science/Nature 61 standout
Sub-graph 1 of 21

Citing Papers

A foundation model of transcription across human cell types
2025 StandoutNature
A vision–language foundation model for precision oncology
2025 StandoutNature
1 intermediate paper

Works of Marion Chevrier being referenced

A benchmark of batch-effect correction methods for single-cell RNA sequencing data
2020 Standout

Author Peers

Author Last Decade Papers Cites
Marion Chevrier 122 174 31 578 282 19 929
Anja Sieber 221 179 28 750 183 19 1.1k
Ricardo O. Ramirez Flores 126 139 39 671 218 16 956
Michelle Goh 148 142 26 538 180 40 1.0k
V. Sivakamasundari 94 121 271 514 346 22 1.0k
Dejun Shen 284 210 64 484 169 33 1.1k
Anna Arutyunyan 120 129 17 528 200 10 752
Alma Andersson 120 222 38 863 253 18 1.2k
Marcory C. R. F. van Dijk 356 131 90 326 173 29 889
Inge M. N. Wortel 217 98 38 403 199 14 833
Michael J. Gerdes 245 168 100 605 139 22 1.0k

All Works

Loading papers...

Rankless by CCL
2026