Fang Xie

4.6k total citations
199 papers, 2.7k citations indexed

About

Fang Xie is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Fang Xie has authored 199 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Physiology, 49 papers in Molecular Biology and 40 papers in Psychiatry and Mental health. Recurrent topics in Fang Xie's work include Alzheimer's disease research and treatments (43 papers), Dementia and Cognitive Impairment Research (36 papers) and Functional Brain Connectivity Studies (24 papers). Fang Xie is often cited by papers focused on Alzheimer's disease research and treatments (43 papers), Dementia and Cognitive Impairment Research (36 papers) and Functional Brain Connectivity Studies (24 papers). Fang Xie collaborates with scholars based in China, United States and Switzerland. Fang Xie's co-authors include Yihui Guan, Fangyu Peng, Qi Huang, Qiang Huang, Qihao Guo, Chenhai Liu, Shuhua Ren, Yiyun Huang, Long Yu and Donglang Jiang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Fang Xie

184 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fang Xie China 29 975 602 570 343 315 199 2.7k
Davide Franceschini Italy 33 688 0.7× 711 1.2× 533 0.9× 317 0.9× 730 2.3× 182 3.7k
Hae‐June Lee South Korea 32 1.1k 1.1× 341 0.6× 383 0.7× 364 1.1× 389 1.2× 132 2.8k
Yamei Tang China 32 916 0.9× 370 0.6× 257 0.5× 443 1.3× 301 1.0× 138 4.0k
Qian Sun China 28 1.1k 1.1× 313 0.5× 535 0.9× 303 0.9× 350 1.1× 98 2.8k
Eugenia Migliavacca Switzerland 30 1.9k 1.9× 281 0.5× 551 1.0× 662 1.9× 74 0.2× 62 3.5k
Alessandra Mosca Italy 20 1.0k 1.0× 571 0.9× 450 0.8× 82 0.2× 205 0.7× 62 2.3k
Christopher M. Hovens Australia 38 1.8k 1.8× 550 0.9× 593 1.0× 361 1.1× 224 0.7× 121 3.9k
Xueyuan Liu China 30 1.5k 1.5× 262 0.4× 511 0.9× 265 0.8× 71 0.2× 144 3.1k
Ying Fu China 32 971 1.0× 560 0.9× 299 0.5× 147 0.4× 173 0.5× 120 3.0k
Goutam Chakraborty United States 29 1.3k 1.3× 779 1.3× 461 0.8× 148 0.4× 92 0.3× 67 2.8k

Countries citing papers authored by Fang Xie

Since Specialization
Citations

This map shows the geographic impact of Fang Xie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fang Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Xie more than expected).

Fields of papers citing papers by Fang Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Xie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fang Xie. The network helps show where Fang Xie may publish in the future.

Co-authorship network of co-authors of Fang Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Xie. A scholar is included among the top collaborators of Fang Xie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Xie. Fang Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xu, Xiaomeng, Xinyuan Yang, Junfang Zhang, et al.. (2025). Choroid plexus free‐water correlates with glymphatic function in Alzheimer's disease. Alzheimer s & Dementia. 21(5). e70239–e70239. 3 indexed citations
2.
Huang, Qi, Chu‐Chung Huang, Yao Lu, et al.. (2025). Associations of hippocampal volumes, brain hypometabolism, and plasma NfL with amyloid, tau, and cognitive decline. Alzheimer s & Dementia. 21(2). e70005–e70005. 2 indexed citations
3.
Li, Anqi, Ying Wang, Yan Wang, et al.. (2025). Association of objective subtle cognitive difficulties with amyloid-β and tau deposition compared to subjective cognitive decline. European Journal of Nuclear Medicine and Molecular Imaging. 52(4). 1481–1495. 2 indexed citations
4.
Zhang, Junfang, Xinyuan Yang, Xiaomeng Xu, et al.. (2025). Identifying Distinct Spatiotemporal Patterns of Juxtacortical Microstructure in Alzheimer Disease Using Diffusion MRI–derived Free Water Fraction. Radiology. 317(1). e243423–e243423.
5.
Liu, Yuxiao, et al.. (2025). Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks. IEEE Transactions on Medical Imaging. 44(4). 1809–1820.
6.
Xu, Hao, Sun‐Zhe Xie, Yinghan Su, et al.. (2025). Comparison of 11C‐Acetate and 18F‐FDG PET/CT for Immune Infiltration and Prognosis in Hepatocellular Carcinoma. Cancer Science. 116(4). 990–1003.
7.
Zhang, Heng, Ming Ni, Yi Yang, et al.. (2024). Patch-based interpretable deep learning framework for Alzheimer’s disease diagnosis using multimodal data. Biomedical Signal Processing and Control. 100. 107085–107085. 7 indexed citations
8.
Cui, Liang, Min Wang, Yihui Guan, et al.. (2024). Association of precuneus Aβ burden with default mode network function. Alzheimer s & Dementia. 21(1). e14380–e14380. 5 indexed citations
9.
Kuang, Junliang, Tao Sun, Haili Tian, et al.. (2024). Physical function is associated with cognitive status, brain amyloid‐beta deposition, and blood biomarkers in Chinese Han population. CNS Neuroscience & Therapeutics. 30(8). e14921–e14921. 5 indexed citations
10.
11.
Wu, Junhao, Binyin Li, Qi Huang, et al.. (2024). Plasma Glial Fibrillary Acid Protein and Phosphorated Tau 181 Association with Presynaptic Density-Dependent Tau Pathology at 18F-SynVesT-1 Brain PET Imaging. Radiology. 313(2). e233019–e233019. 6 indexed citations
12.
13.
Zhang, Junfang, Jie Wang, Xiaomeng Xu, et al.. (2023). In vivo synaptic density loss correlates with impaired functional and related structural connectivity in Alzheimer’s disease. Journal of Cerebral Blood Flow & Metabolism. 43(6). 977–988. 36 indexed citations
14.
Liu, Tanghua, et al.. (2021). Contributions of aversive environmental stress to migraine chronification: Research update of migraine pathophysiology. World Journal of Clinical Cases. 9(9). 2136–2145. 7 indexed citations
15.
Huang, Qi, Shuhua Ren, Junpeng Li, et al.. (2021). Aging-Related Modular Architectural Reorganization of the Metabolic Brain Network. Brain Connectivity. 12(5). 432–442. 3 indexed citations
16.
Su, Jingjing, Qi Huang, Shuhua Ren, et al.. (2019). Altered Brain Glucose Metabolism Assessed by 18F-FDG PET Imaging Is Associated with the Cognitive Impairment of CADASIL. Neuroscience. 417. 35–44. 18 indexed citations
17.
Ingle, James N., Fang Xie, Matthew J. Ellis, et al.. (2016). Genetic Polymorphisms in the Long Noncoding RNA MIR2052HG Offer a Pharmacogenomic Basis for the Response of Breast Cancer Patients to Aromatase Inhibitor Therapy. Cancer Research. 76(23). 7012–7023. 43 indexed citations
18.
Liu, Tongzheng, Yuan Fang, Haoxing Zhang, et al.. (2015). HEATR1 Negatively Regulates Akt to Help Sensitize Pancreatic Cancer Cells to Chemotherapy. Cancer Research. 76(3). 572–581. 33 indexed citations
19.
Zhu, Hengrui, Zulong Liu, Junhua Liu, et al.. (2012). Reversal of P-gp and MRP1-mediated multidrug resistance by H6, a gypenoside aglycon from Gynostemma pentaphyllum, in vincristine-resistant human oral cancer (KB/VCR) cells. European Journal of Pharmacology. 696(1-3). 43–53. 44 indexed citations
20.
Zhang, Shuyu, Jun Hao, Fang Xie, et al.. (2011). Downregulation of miR-132 by promoter methylation contributes to pancreatic cancer development. Carcinogenesis. 32(8). 1183–1189. 132 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Davide Franceschini Breakdown of academic impact, for papers by Hae‐June Lee Breakdown of academic impact, for papers by Yamei Tang Breakdown of academic impact, for papers by Qian Sun Breakdown of academic impact, for papers by Eugenia Migliavacca Breakdown of academic impact, for papers by Alessandra Mosca Breakdown of academic impact, for papers by Christopher M. Hovens Breakdown of academic impact, for papers by Xueyuan Liu Breakdown of academic impact, for papers by Ying Fu Breakdown of academic impact, for papers by Goutam Chakraborty
Rankless by CCL
2026