Simon Koplev

Icahn School of Medicine at Mount Sinai

Papers

1

Total Citations

447

H-Index

1

About

Simon Koplev is a computational biologist whose research centers on systems-level analysis of cellular signaling, network biology, and the integration of large-scale genomic datasets to understand human disease. He made a landmark contribution as a key participant in the NIH Library of Integrated Network-Based Cellular Signatures (LINCS) Program, co-authoring its flagship 2017 paper, which has garnered over 447 citations. This work established a systematic framework for cataloging how human cells respond to diverse perturbations—drugs, genetic modifications, and disease states—by generating and integrating thousands of molecular signatures. Koplev’s efforts helped create a foundational public resource that enables researchers to predict drug mechanisms, identify new therapeutic targets, and map disease pathways. His broader impact lies in advancing network-based approaches to decode complex cellular behaviors, bridging high-throughput data with actionable biological insights. Through his contributions to LINCS, Koplev has empowered the biomedical community to move from descriptive genomics to predictive, mechanism-driven science, making his work essential reading for anyone interested in systems pharmacology and precision medicine.

Research Focus

Key Achievements

1
H-Index
1
Papers
447
Total Citations
447
Avg Citations/Paper
🏆 Most Cited Paper
The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
447 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 99
🏛 Institutions: Icahn School of Medicine at Mount Sinai

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago