Jiayu Fu

1.1k total citations
62 papers, 768 citations indexed

About

Jiayu Fu is a scholar working on Molecular Biology, Neurology and Hematology. According to data from OpenAlex, Jiayu Fu has authored 62 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Neurology and 12 papers in Hematology. Recurrent topics in Jiayu Fu's work include Intracerebral and Subarachnoid Hemorrhage Research (8 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Alzheimer's disease research and treatments (7 papers). Jiayu Fu is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (8 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Alzheimer's disease research and treatments (7 papers). Jiayu Fu collaborates with scholars based in China, Japan and United States. Jiayu Fu's co-authors include Xiao‐Ming Li, Xiaodan Yu, Yi Zhu, C. Shen, Mengyu Tang, Di Zheng, Kai‐Yuan Fu, Adrian Ujin Yap, Jie Lei and Qixin Sun and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Nature Neuroscience.

In The Last Decade

Jiayu Fu

59 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiayu Fu China 14 206 187 137 105 99 62 768
Jouni Tuisku Finland 16 107 0.5× 220 1.2× 169 1.2× 149 1.4× 77 0.8× 49 997
David Matzilevich United States 10 285 1.4× 551 2.9× 111 0.8× 67 0.6× 134 1.4× 11 1.1k
Suzanne M. de la Monte United States 10 403 2.0× 223 1.2× 118 0.9× 278 2.6× 158 1.6× 11 1.0k
Catherine R. Lammert United States 9 214 1.0× 425 2.3× 134 1.0× 143 1.4× 52 0.5× 12 929
Blake T. Gurfein United States 11 131 0.6× 322 1.7× 100 0.7× 128 1.2× 28 0.3× 14 1.1k
Igor Smirnov United States 12 492 2.4× 316 1.7× 289 2.1× 268 2.6× 43 0.4× 17 1.9k
Eric D. Gaier United States 20 255 1.2× 260 1.4× 185 1.4× 135 1.3× 133 1.3× 66 1.1k
Roberto Toni Italy 20 211 1.0× 264 1.4× 53 0.4× 163 1.6× 52 0.5× 119 1.4k
Isabelle Arnoux France 14 226 1.1× 151 0.8× 55 0.4× 88 0.8× 43 0.4× 24 1.1k

Countries citing papers authored by Jiayu Fu

Since Specialization
Citations

This map shows the geographic impact of Jiayu Fu'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 Jiayu Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayu Fu more than expected).

Fields of papers citing papers by Jiayu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiayu Fu. 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 Jiayu Fu. The network helps show where Jiayu Fu may publish in the future.

Co-authorship network of co-authors of Jiayu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiayu Fu. A scholar is included among the top collaborators of Jiayu Fu 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 Jiayu Fu. Jiayu Fu 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.
Huang, Shanshan, Xinru Wang, Meng Wang, et al.. (2025). S‐9‐PAHSA Protects Against High‐Fat Diet‐Induced Diabetes‐Associated Cognitive Impairment via Gut Microbiota Regulation. CNS Neuroscience & Therapeutics. 31(5). e70417–e70417. 2 indexed citations
2.
Su, Ya, Jiayu Fu, Feifan Xu, et al.. (2025). Circulating proteomic biomarkers for cerebral amyloid angiopathy screening and risk stratification. Alzheimer s & Dementia. 21(3). e70044–e70044.
3.
Su, Ya, Qiong Wang, Feng Gao, et al.. (2024). Increased Plasma β ‐Secretase 1 Activity Correlates With Neurodegeneration in Cerebral Small Vessel Disease. Journal of the American Heart Association. 13(24). e036204–e036204. 1 indexed citations
4.
Su, Ya, et al.. (2023). Glymphatic pathway in sporadic cerebral small vessel diseases: From bench to bedside. Ageing Research Reviews. 86. 101885–101885. 12 indexed citations
6.
Fu, Jiayu, Ji He, Yixuan Zhang, et al.. (2022). Small fiber neuropathy for assessment of disease severity in amyotrophic lateral sclerosis: corneal confocal microscopy findings. Orphanet Journal of Rare Diseases. 17(1). 7–7. 13 indexed citations
7.
Zheng, Di, Jiayu Fu, Mengyu Tang, et al.. (2022). A Deep Mesencephalic Nucleus Circuit Regulates Licking Behavior. Neuroscience Bulletin. 38(6). 565–575. 3 indexed citations
8.
Wang, Haiyan, et al.. (2022). Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction. Frontiers in Neurorobotics. 16. 863722–863722. 3 indexed citations
9.
Zhang, Yixuan, Xiangyi Liu, Jiayu Fu, et al.. (2022). Selective and Inverse U-Shaped Curve Alteration of the Retinal Nerve in Amyotrophic Lateral Sclerosis: A Potential Mirror of the Disease. Frontiers in Aging Neuroscience. 13. 783431–783431. 6 indexed citations
10.
Chen, Lu, Lu Xu, Lu Tang, et al.. (2021). Trends in the clinical features of amyotrophic lateral sclerosis: A 14‐year Chinese cohort study. European Journal of Neurology. 28(9). 2893–2900. 9 indexed citations
11.
Sui, Lina, Yurong Xin, Leena Haataja, et al.. (2021). Reduced replication fork speed promotes pancreatic endocrine differentiation and controls graft size. JCI Insight. 6(5). 25 indexed citations
12.
Wang, Zhixiong, Qian Liu, Risu Na, et al.. (2020). Galunisertib enhances chimeric antigen receptor-modified T cell function. European Journal of Histochemistry. 64(s2). 11 indexed citations
13.
Cohen, Yaël C., Albert Oriol, Ka Lung Wu, et al.. (2020). Daratumumab With Cetrelimab, an Anti–PD-1 Monoclonal Antibody, in Relapsed/Refractory Multiple Myeloma. Clinical Lymphoma Myeloma & Leukemia. 21(1). 46–54.e4. 12 indexed citations
14.
He, Ji, Jiayu Fu, & Dongsheng Fan. (2020). The complement C7 variant rs3792646 is associated with amyotrophic lateral sclerosis in a Han Chinese population. Neurobiology of Aging. 99. 103.e1–103.e7. 2 indexed citations
15.
Fu, Jiayu, Xiaodan Yu, Yi Zhu, et al.. (2020). Whole-Brain Map of Long-Range Monosynaptic Inputs to Different Cell Types in the Amygdala of the Mouse. Neuroscience Bulletin. 36(11). 1381–1394. 33 indexed citations
16.
Su, Ya, Jiayu Fu, Jin‐Tai Yu, et al.. (2020). Tau PET Imaging with [18F]PM-PBB3 in Frontotemporal Dementia with MAPT Mutation. Journal of Alzheimer s Disease. 76(1). 149–157. 19 indexed citations
17.
Shen, C., Di Zheng, Kexin Li, et al.. (2019). Cannabinoid CB1 receptors in the amygdalar cholecystokinin glutamatergic afferents to nucleus accumbens modulate depressive-like behavior. Nature Medicine. 25(2). 337–349. 165 indexed citations
18.
Yang, Jiarui, Yanhui Xu, Xiaodan Li, et al.. (2019). <p>A new approach of ocular nebulization with vitamin B12 versus oxytocin for the treatment of dry eye disease: an in vivo confocal microscopy study</p>. Drug Design Development and Therapy. Volume 13. 2381–2391. 20 indexed citations
19.
Mandalia, Mirren, et al.. (2017). Introduction of a novel service model to improve uptake and adherence with cardiac rehabilitation within Buckinghamshire Healthcare NHS Trust. BMC Cardiovascular Disorders. 17(1). 184–184. 7 indexed citations
20.
Ruan, Guo‐Rui, Ya‐Zhen Qin, Jinlan Li, et al.. (2006). Abnormal expression of the programmed cell death 5 gene in acute and chronic myeloid leukemia. Leukemia Research. 30(9). 1159–1165. 49 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.

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