Xiuqin Jia | Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Xiuqin Jia | Neuroscience | Best Researcher Award

Beijing Chaoyang Hospital | China

Dr. Xiuqin Jia, Ph.D., Associate Professor in the Department of Radiology at Beijing Chaoyang Hospital, Capital Medical University, is a distinguished researcher whose work has significantly advanced the fields of neuroimaging and cognitive neuroscience. Her research addresses the neural correlates of neurodegenerative diseases such as Parkinson’s disease, Alzheimer’s disease, and mild cognitive impairment, as well as cerebrovascular disorders including CADASIL and cerebral small vessel disease. Through computational modeling and multimodal neuroimaging approaches, she has provided innovative insights into disease mechanisms, progression, and early diagnostic markers, with direct implications for clinical practice and therapeutic intervention. According to Scopus, Dr. Xiuqin Jia has authored 75 publications, which have collectively received 1,716 citations across 1,492 documents, establishing a robust h-index of 23 that reflects her sustained impact and scholarly influence. She has successfully secured major funding as Principal Investigator for projects under the National Natural Science Foundation of China, the Beijing Municipal Natural Science Foundation, and other national programs, underscoring her leadership in cutting-edge research. In addition to her academic contributions, Dr. Xiuqin Jia serves as a Review Editor for Frontiers in Aging Neuroscience and holds important positions in multiple professional societies, promoting interdisciplinary collaboration between radiology, brain science, and artificial intelligence. Her achievements have been recognized through prestigious honors, including the Beijing Outstanding Doctoral Graduate Award, the Capital Medical University Scientific and Technological Progress Award, and the Chinese Medical Science and Technology Youth Award. With her remarkable record of innovation, leadership, and international recognition, Dr. Jia is an outstanding candidate for the Best Researcher Award.

Profile: Scopus | Google Scholar | ORCID

Featured Publications

Huang, Z., Liang, P., Jia, X., Zhan, S., Li, N., Ding, Y., Lu, J., Wang, Y., & Li, K. (2012). Abnormal amygdala connectivity in patients with primary insomnia: Evidence from resting state fMRI. European Journal of Radiology, 81(6), 1288–1295.

Liang, P., Wang, Z., Yang, Y., Jia, X., & Li, K. (2011). Functional disconnection and compensation in mild cognitive impairment: Evidence from DLPFC connectivity using resting-state fMRI. PLoS ONE, 6(7), e22153.

Wang, Z., Jia, X., Liang, P., Qi, Z., Yang, Y., Zhou, W., & Li, K. (2012). Changes in thalamus connectivity in mild cognitive impairment: Evidence from resting state fMRI. European Journal of Radiology, 81(2), 277–285.

Duan, Y., Liu, Y., Liang, P., Jia, X., Yu, C., Qin, W., Sun, H., Liao, Z., Ye, J., & Li, K. (2012). Comparison of grey matter atrophy between patients with neuromyelitis optica and multiple sclerosis: A voxel-based morphometry study. European Journal of Radiology, 81(2), e110–e114.

Wang, Z., Liang, P., Jia, X., Jin, G., Song, H., Han, Y., Lu, J., & Li, K. (2012). The baseline and longitudinal changes of PCC connectivity in mild cognitive impairment: A combined structure and resting-state fMRI study. PLoS ONE, 7(5), e36838.

Wang, Z., Liang, P., Jia, X., Qi, Z., Yu, L., Yang, Y., Zhou, W., Lu, J., & Li, K. (2011). Baseline and longitudinal patterns of hippocampal connectivity in mild cognitive impairment: Evidence from resting state fMRI. Journal of the Neurological Sciences, 309(1–2), 79–85.

Jia, X., Liang, P., Li, Y., Shi, L., Wang, D., & Li, K. (2015). Longitudinal study of gray matter changes in Parkinson disease. American Journal of Neuroradiology, 36(12), 2219–2226.

Liu, Y., Liang, P., Duan, Y., Jia, X., Wang, F., Yu, C., Qin, W., Dong, H., Ye, J., & Li, K. (2011). Abnormal baseline brain activity in patients with neuromyelitis optica: A resting-state fMRI study. European Journal of Radiology, 80(2), 407–411.