Standout Papers

A comparison of single-cell trajectory inference methods 2019 2026 2021 2023 881
  1. A comparison of single-cell trajectory inference methods (2019)
    Wouter Saelens, Robrecht Cannoodt et al. Nature Biotechnology
  2. A scalable SCENIC workflow for single-cell gene regulatory network analysis (2020)
    Bram Van de Sande, Christopher Flerin et al. Nature Protocols
  3. Trajectory-based differential expression analysis for single-cell sequencing data (2020)
    Koen Van den Berge, Hector Roux de Bézieux et al. Nature Communications

Immediate Impact

39 from Science/Nature 65 standout
Sub-graph 1 of 19

Citing Papers

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2024 StandoutNature

Works of Robrecht Cannoodt being referenced

A scalable SCENIC workflow for single-cell gene regulatory network analysis
2020 Standout
A comparison of single-cell trajectory inference methods
2019 Standout

Author Peers

Author Last Decade Papers Cites
Robrecht Cannoodt 1848 312 541 383 16 2.3k
Laleh Haghverdi 2448 539 617 467 14 3.0k
Romain Lopez 2098 469 615 471 10 2.6k
Marco Mignardi 1369 179 577 437 16 2.1k
Valentine Svensson 2506 384 571 619 16 3.0k
Fredrik Salmén 1935 309 422 499 15 2.3k
Brian Houck‐Loomis 2068 293 790 411 14 2.6k
Kelly Street 1367 164 565 309 14 2.1k
Michael D. Morgan 1460 267 553 284 22 2.1k
Maren Büttner 2040 495 467 406 27 2.5k
Marius Lange 1383 203 455 276 11 1.9k

All Works

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