Standout Papers

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data 2020 2026 2022 2024382
  1. Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data (2020)
    Aditya Pratapa, Amogh P. Jalihal et al. Nature Methods

Immediate Impact

6 from Science/Nature 64 standout
Sub-graph 1 of 24

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Multi-OMICS approaches in cancer biology: New era in cancer therapy
2024 Standout
2 intermediate papers

Works of Jeffrey Law being referenced

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
2020 Standout

Author Peers

Author Last Decade Papers Cites
Jeffrey Law 389 29 33 46 37 11 491
Alex X. Lu 227 17 21 84 31 20 432
César Angeletti 342 20 7 19 28 13 494
Songyao Zhang 363 29 79 18 45 18 512
H. Conzelmann 400 6 75 22 37 14 559
Subu Subramanian 356 45 57 15 43 8 469
Galen Dods 417 9 14 24 33 7 476
Jisoo Park 333 50 177 27 34 14 476
Holger Schmid 273 4 22 20 61 15 450
Takashi Nakakuki 367 9 46 33 9 37 485
Edward Kien Yee Yapp 348 77 49 11 14 9 557

All Works

Loading papers...

Rankless by CCL
2026