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Yulan Rao
Basic Medical Sciences
Fudan University
Shanghai
Language: Chinese, English
Poison Detection
New Methods
Difficult Cases
Interpretation
Cardiovascular Toxicology
Metabolites
Research
Development
Mechanisms
Forensic
Areas of Focus
- Development of new methods for poison detection and interpretation of results in difficult cases
- Research on cardiovascular toxicology mechanisms of poisons and their metabolites
Work Experience
- 2010-present: Department of Forensic Medicine, Basic Medical Sciences, Fudan University
Academic Background & Achievements
- 2010: PhD from China Pharmaceutical University
- 2008-2010: Joint training at National Research Council Canada
Publications
- Measurement of 7-dehydrocholesterol and cholesterol in hair can be used in the diagnosis of Smith-Lemli-Opitz syndrome, Luo Y, Zhang C, Ma L, Zhang Y, Liu Z, Chen L, Wang R, Luan Y*, Rao Y*, 2022
- Acute exposure to N-Ethylpentylone induces developmental toxicity and dopaminergic receptor-regulated aberrances in zebrafish larvae, Fan E, Xu Z, Yan J, Wang F, Sun S, Zhang Y, Zheng S, Wang X*, Rao Y*, 2021
- Evaluation and review of ways to differentiate sources of ethanol in postmortem blood, Lin Z, Wang H, Wayne Jones AW, Wang F, Zhang Y, Rao Y*, 2020
- Pharmacokinetics of N-ethylpentylone and its effect on increasing levels of dopamine and serotonin in the nucleus accumbens of conscious rats, Lin Z, Chen Y, Li J, Xu Z, Wang H, Lin J, Ye X, Zhao Z, Shen Y, Zhang Y, Zheng S, Rao Y*, 2019
- Simultaneous determination of ethanol's four types of non-oxidative metabolites in human whole blood by liquid chromatography tandem mass spectrometry, Zhang X, Zheng F, Lin Z, Johansen SS, Yu T, Liu Y, Huang Z, Li J, Yan J, Rao Y*, 2017
- Forensic Toxicology (5th Edition, People's Medical Publishing House, 2016), Not mentioned, 2016
- Forensic Medicine (Science Press, 2018), Not mentioned, 2018
- Core Textbook of Forensic Medicine (2nd Edition, Fudan University Press, 2021), Not mentioned, 2021
Awards
- 2019: Second Prize of the Ministry of Public Security Science and Technology Award for the project 'Application Research of Difficult Evidence Detection and Analysis Technology' (Ranked 7th)
