Immediate Impact
1 from Science/Nature 50 standout
Citing Papers
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
Regulation of cellular senescence in tumor progression and therapeutic targeting: mechanisms and pathways
2025 Standout
Works of Kejiang Lin being referenced
NMR-based metabonomic analysis of HUVEC cells during replicative senescence
2020
Convolutional Neural Network-based Virtual Screening
2020
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Kejiang Lin | 254 | 113 | 71 | 33 | 444 | |
| Indu R. Chandrashekaran | 245 | 74 | 73 | 22 | 500 | |
| Jae-June Dong | 175 | 91 | 39 | 26 | 397 | |
| Siddharth Sinha | 279 | 71 | 63 | 30 | 496 | |
| Palani Kirubakaran | 249 | 110 | 79 | 22 | 395 | |
| Avinash Kumar | 219 | 131 | 34 | 46 | 478 | |
| Yuzhen Niu | 252 | 133 | 33 | 24 | 421 | |
| Himanshu Verma | 202 | 61 | 65 | 44 | 510 | |
| Akshaya Murugesan | 212 | 33 | 53 | 32 | 427 | |
| Opeyemi Soremekun | 164 | 56 | 42 | 58 | 429 | |
| Frederick J. King | 274 | 143 | 52 | 30 | 501 |
All Works
Login with ORCID to disown or claim papers
Loading papers...