Lucy R. Mulligan
Papers
2
Total Citations
5
H-Index
2
About
Lucy R. Mulligan is a rising researcher in neuromuscular biomechanics, whose work centres on the computational modelling of skeletal muscle function. Her primary research area addresses a fundamental gap in human physiology: the inability to directly measure how individual motor units contribute to whole-muscle contraction. Mulligan’s most cited work, a 2024 two-part study, develops a novel modelling framework to simulate motor unit recruitment and its incremental effects on contractile velocity, force, and power. By integrating previously published single-fibre data, she provides a theoretical method to predict how the nervous system orchestrates muscle output—a challenge long considered experimentally intractable. Though early in her career, with her top papers accumulating 3 and 2 citations respectively, the conceptual ambition of her approach signals significant potential for impact in fields ranging from rehabilitation engineering to sports science and neuromuscular disorder research. Her work offers a critical step toward bridging the gap between cellular muscle properties and whole-body movement, establishing her as a promising voice in computational physiology.
Research Focus
Key Achievements
Top Papers
- 1
- 2