Dr. Shujun Pan is currently an associate professor at Ningxia Medical University. She has long been engaged in research on mental health and psychological intervention and is committed to developing psychological intervention programs to enhance the health of addicted youth and drug-dependent individuals. Dr. Pan has published academic papers, delivered presentations at domestic academic conferences, and independently undertaken research projects funded by domestic funds. She has been invited to give academic lectures to clinical nurses and nursing managers at hospitals.

Mental Health and psychological nursing

2009–2012             Shanghai Jiao Tong University, Shanghai, China Ph.D. in Mental Health and Psychiatry

2006–2009             Ningxia Medical University, Yinchuan, China, MS in clinical medicine

1. Second-Class Award, Ningxia Hui Autonomous Region Science and Technology Progress Award (2006)

2. Excellent Instructor for College Students’ Mental Health,Ningxia Medical University (2013)

1. 9/2017– 8/2019 Research on Community-Based Rehabilitation Interventions for Schizophrenia Patients and Construction of an Evaluation System. Natural Science Foundation of Ningxia Hui Autonomous Region. Role: Principal Investigator. RMB: 30,000.

2. 07/2022 – Present   Association Study of Human Digit Ratio with Gene Polymorphisms for Phalangeal Development and the Biological Mechanisms of Hormone-Related Disorders. Natural Science Foundation of China. Role: CO-Principal Investigator. RMB: 360,000.

[1]Pan, S., Jiang, H., Du, J.(2015). Efficacy of Cognitive Behavioral Therapy on Opiate Use and Retention in Methadone Maintenance Treatment in China: A Randomised Tria. PloS one, 10(6): e0127598.

[2]Pan, S., Wang, L., Koenig, HG., Wang Z*.(2016). Tobacco and Alcohol Use in Muslims Compared with Local Han Population in Mainland China. J Psychiat Mental Diso, 1: 1003.

[3]Cheng, F., Guo, L., Shi, Y., Pan, S.(2025). Gender differences in the interactions and inferred causal relationships between risk factors and gaming disorder: a network and structural equation modeling approach. European Archives of Psychiatry and Clinical Neuroscience,:1-14.