Standout Papers

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer 2023 2026 2024121
  1. Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer (2023)
    Sebastian Foersch, Ann-Christin Woerl et al. Nature Medicine

Immediate Impact

15 from Science/Nature 63 standout
Sub-graph 1 of 22

Citing Papers

A vision–language foundation model for precision oncology
2025 StandoutNature
The crosstalk between macrophages and cancer cells potentiates pancreatic cancer cachexia
2024 Standout
2 intermediate papers

Works of Moritz Jesinghaus being referenced

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
2023 Standout
A novel pretherapeutic gene expression-based risk score for treatment guidance in gastric cancer
2017

Author Peers

Author Last Decade Papers Cites
Moritz Jesinghaus 1093 472 403 498 87 1.9k
Carmen Gomez‐Fernandez 1102 605 457 232 86 2.2k
Nicole Pfarr 1206 298 493 454 98 2.3k
Wen‐Yu Chuang 553 536 312 222 126 2.1k
Stefania Landolfi 1027 461 228 574 66 2.2k
Hans-Jürgen Holzhausen 596 441 517 321 72 1.9k
Naoyuki Miyokawa 885 721 482 708 124 2.6k
Antonio Palacı́n 755 538 443 178 74 2.4k
Dennis Cooper 1075 448 361 231 111 2.7k
Sang‐Hue Yen 501 348 303 427 50 1.7k
Jhingook Kim 809 559 929 440 107 2.3k

All Works

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Rankless by CCL
2026