Fangfang Qi

1.7k total citations
69 papers, 1.1k citations indexed

About

Fangfang Qi is a scholar working on Neurology, Immunology and Physiology. According to data from OpenAlex, Fangfang Qi has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Neurology, 22 papers in Immunology and 11 papers in Physiology. Recurrent topics in Fangfang Qi's work include Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Immune responses and vaccinations (10 papers) and Advanced ceramic materials synthesis (9 papers). Fangfang Qi is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Immune responses and vaccinations (10 papers) and Advanced ceramic materials synthesis (9 papers). Fangfang Qi collaborates with scholars based in China, United States and Japan. Fangfang Qi's co-authors include Zhibin Yao, Junhua Yang, Juntao Zou, Zejie Zuo, Manhong Huang, Qunfang Yuan, Liu Zhang, Zhi Wang, Junyan Wu and Guopu Shi and has published in prestigious journals such as Nature Neuroscience, Immunity and PLoS ONE.

In The Last Decade

Fangfang Qi

64 papers receiving 1.1k citations

Peers

Fangfang Qi
Kwang Ho Cho South Korea
Hao Fang China
Jing Xie China
Fangfang Qi
Citations per year, relative to Fangfang Qi Fangfang Qi (= 1×) peers Guobing Chen

Countries citing papers authored by Fangfang Qi

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Fangfang Qi. A scholar is included among the top collaborators of Fangfang Qi 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 Fangfang Qi. Fangfang Qi 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.
Qi, Fangfang, et al.. (2025). Ballistic protection and damage mechanism of ceramic composite armor under two-dimensional pre-stressed constraints by molten metal casting. Aerospace Science and Technology. 159. 110021–110021. 3 indexed citations
2.
Qi, Fangfang, et al.. (2025). Microbial homeostasis and dysbiosis in physiological and pathological skin. Med. 6(10). 100847–100847.
3.
Zhao, Shunyi, et al.. (2025). Chemogenetic activation of microglial Gi signaling decreases microglial surveillance and impairs neuronal synchronization. Science Advances. 11(9). eado7829–eado7829. 3 indexed citations
4.
Qi, Fangfang, Juntao Zou, Hao Liu, et al.. (2025). SARS-CoV-2 vaccination during pregnancy enhances offspring hippocampal neurogenesis and working memory via IFN-γ–responsive microglia. Communications Biology. 8(1). 1307–1307.
5.
Xu, Wenlong, et al.. (2024). Investigation on shock wave mitigation performance and crashworthiness of density gradient foam structures. International Journal of Impact Engineering. 197. 105187–105187.
6.
Qi, Fangfang, et al.. (2024). Reduced Expression of CLEC4G in Neurons Is Associated with Alzheimer’s Disease. International Journal of Molecular Sciences. 25(9). 4621–4621. 2 indexed citations
7.
Haruwaka, Koichiro, Yanlu Ying, Yue Liang, et al.. (2024). Microglia enhance post-anesthesia neuronal activity by shielding inhibitory synapses. Nature Neuroscience. 27(3). 449–461. 29 indexed citations
10.
Qi, Fangfang, Zhiqi Hu, Sashank Reddy, et al.. (2024). Commensal microbe regulation of skin cells in disease. Cell Host & Microbe. 32(8). 1264–1279. 9 indexed citations
11.
Zheng, Jiaying, Shunyi Zhao, Wenjing Zhang, et al.. (2023). TREM2 mediates MHCII-associated CD4+ T-cell response against gliomas. Neuro-Oncology. 26(5). 811–825. 14 indexed citations
12.
Qi, Fangfang, Zejie Zuo, Kaishun Hu, et al.. (2023). VEGF-A in serum protects against memory impairment in APP/PS1 transgenic mice by blocking neutrophil infiltration. Molecular Psychiatry. 28(10). 4374–4389. 13 indexed citations
14.
Yang, Yunjie, Zejie Zuo, Rui Wang, et al.. (2020). Intraperitoneal injection of IFN-γ restores microglial autophagy, promotes amyloid-β clearance and improves cognition in APP/PS1 mice. Cell Death and Disease. 11(6). 440–440. 56 indexed citations
18.
Yang, Junhua, Fangfang Qi, Huaiyu Gu, et al.. (2015). Neonatal BCG vaccination of mice improves neurogenesis and behavior in early life. Brain Research Bulletin. 120. 25–33. 37 indexed citations
19.
Huang, Manhong, Fangfang Qi, Jue Wang, Qi Xu, & Li Lin. (2015). Changes of bacterial diversity and tetracycline resistance in sludge from AAO systems upon exposure to tetracycline pressure. Journal of Hazardous Materials. 298. 303–309. 40 indexed citations
20.
Qi, Fangfang, et al.. (2015). Optimization of an A2/O process for tetracycline removal via response surface methodology coupled with a Box–Behnken design. Journal of Environmental Science and Health Part A. 50(7). 735–743. 5 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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