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Gene Regulatory Network Analysis

Gene Regulatory Network Analysis is a research topic within Molecular Biology. Science Explorer counts 28k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the stochastic behavior and regulation of gene networks, exploring topics such as stochastic gene expression, synthetic biology, cellular noise, network inference, genetic circuits, biochemical modeling, cell signaling dynamics, and single-cell analysis. The research delves into understanding the inherent stochasticity in gene regulatory networks and its implications for cellular functions.

  • Stochastic Gene Expression
  • Gene Regulatory Networks
  • Synthetic Biology
  • Cellular Noise
  • Systems Biology
  • Network Inference
  • Genetic Circuits
  • Biochemical Modeling
  • Cell Signaling Dynamics
  • Single-Cell Analysis
Research works
28k
fractional, since 1950
In the world top 10%
2.8k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-6%
the tick is no change
Largest producer
United States
33% of the 10 largest, 2022-now
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