Papers
1
Total Citations
58
H-Index
1
About
Huiru Tang is a leading figure in metabonomics and NMR-based metabolomics, whose work has significantly advanced the precision and reliability of biofluid analysis. Her research focuses on developing robust analytical methodologies to unravel complex metabolic signatures in mammalian systems, bridging chemistry, biology, and medicine. Tang’s most notable contribution is the development of validated methods to eliminate dication-induced intersample chemical-shift variations in NMR-based urinary metabonomic analysis—a critical technical hurdle that previously compromised data integrity. Her 2012 paper on this topic, cited over 58 times, has become a cornerstone reference for researchers seeking reproducible, high-quality metabolic profiling. By solving this persistent problem, Tang enabled more accurate comparisons across samples and studies, directly impacting the field’s ability to understand physiological and pathophysiological states. Her work exemplifies the essential role of methodological rigor in systems biology, and her innovations continue to be widely adopted by laboratories worldwide, cementing her reputation as a key contributor to the advancement of NMR-based metabonomics.
Research Focus
Key Achievements
Top Papers
- 1