Jia Fu

943 total citations · 1 hit paper
11 papers, 698 citations indexed

About

Jia Fu is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Jia Fu has authored 11 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Pathology and Forensic Medicine and 2 papers in Pharmacology. Recurrent topics in Jia Fu's work include Neuropeptides and Animal Physiology (3 papers), Pain Mechanisms and Treatments (2 papers) and Trigeminal Neuralgia and Treatments (2 papers). Jia Fu is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Pain Mechanisms and Treatments (2 papers) and Trigeminal Neuralgia and Treatments (2 papers). Jia Fu collaborates with scholars based in China, Australia and Hong Kong. Jia Fu's co-authors include Francisco J. Tovar‐Lopez, Josie Carberry, Warwick S. Nesbitt, Elham Tolouei, Erik Westein, Andreas Fouras, Arnan Mitchell, Shaun P. Jackson, Ling Qiu and Xinxin Bu and has published in prestigious journals such as Nature Medicine, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jia Fu

9 papers receiving 688 citations

Hit Papers

A shear gradient–dependent platelet aggregation mechanism... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Fu China 4 332 274 227 146 113 11 698
Elham Tolouei Australia 5 336 1.0× 282 1.0× 229 1.0× 149 1.0× 119 1.1× 9 703
Thomas V. Colace United States 10 538 1.6× 346 1.3× 194 0.9× 92 0.6× 100 0.9× 10 737
Jennifer N. Orje United States 7 371 1.1× 178 0.6× 158 0.7× 100 0.7× 68 0.6× 14 587
Ryan W. Muthard United States 8 415 1.3× 268 1.0× 159 0.7× 65 0.4× 65 0.6× 11 565
Ichiro Itagaki Japan 9 628 1.9× 252 0.9× 302 1.3× 209 1.4× 33 0.3× 16 917
P. A. M. M. Aarts Netherlands 7 389 1.2× 286 1.0× 150 0.7× 127 0.9× 68 0.6× 7 682
Daniel Puhr‐Westerheide Germany 14 100 0.3× 145 0.5× 34 0.1× 76 0.5× 35 0.3× 46 594
Meredith E. Fay United States 12 210 0.6× 142 0.5× 37 0.2× 40 0.3× 133 1.2× 26 587
Yan-Ting Shiu United States 18 92 0.3× 162 0.6× 67 0.3× 177 1.2× 128 1.1× 24 1.0k
Christos P. Markou United States 9 83 0.3× 131 0.5× 150 0.7× 142 1.0× 60 0.5× 12 437

Countries citing papers authored by Jia Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Fu. A scholar is included among the top collaborators of Jia 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 Jia Fu. Jia Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Fu, Jia, Yanan Zhang, Yifan Lv, et al.. (2025). A Bioactive Lipid Nanoparticle Integrating Arachidonic Acid Enables High-Efficiency mRNA Delivery and Potent CAR-Macrophage Engineering. International Journal of Molecular Sciences. 26(18). 9199–9199.
4.
Huang, Yan, Xinchang Lu, & Jia Fu. (2024). Single image reflection removal via self-attention and local discrimination. The Visual Computer. 41(1). 399–408. 1 indexed citations
5.
Hu, Jinjing, Jia Fu, Shuping Chen, et al.. (2024). Bioinformatics and systems biology approach to identify the pathogenetic link of neurological pain and major depressive disorder. Experimental Biology and Medicine. 249. 10129–10129. 1 indexed citations
7.
Liu, Dongdong, et al.. (2023). Spatiotemporal variation and driving factor of vegetation coverage from 2000 to 2020 in southern Jiangxi Province, China.. PubMed. 34(11). 2919–2928. 2 indexed citations
8.
Fu, Jia, et al.. (2021). Ischemic postconditioning reduces spinal cord ischemia-reperfusion injury through ATP-sensitive potassium channel. Spinal Cord. 60(4). 326–331. 1 indexed citations
9.
Zhang, Yue, et al.. (2021). Activation of SK3 channel plays a pivotal role in modulation of trigeminal neuralgia. Neurological Research. 43(12). 1005–1012. 6 indexed citations
10.
Fu, Jia, et al.. (2020). c-Abl-p38α signaling pathway mediates dopamine neuron loss in trigeminal neuralgia. Molecular Pain. 16. 2226734631–2226734631. 8 indexed citations
11.
Nesbitt, Warwick S., Erik Westein, Francisco J. Tovar‐Lopez, et al.. (2009). A shear gradient–dependent platelet aggregation mechanism drives thrombus formation. Nature Medicine. 15(6). 665–673. 670 indexed citations breakdown →

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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