Xiaonan Fu

1.2k total citations
19 papers, 670 citations indexed

About

Xiaonan Fu is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaonan Fu has authored 19 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaonan Fu's work include MicroRNA in disease regulation (5 papers), Photoreceptor and optogenetics research (2 papers) and Circadian rhythm and melatonin (2 papers). Xiaonan Fu is often cited by papers focused on MicroRNA in disease regulation (5 papers), Photoreceptor and optogenetics research (2 papers) and Circadian rhythm and melatonin (2 papers). Xiaonan Fu collaborates with scholars based in United States, China and Singapore. Xiaonan Fu's co-authors include Jinsong Zhu, Yijie Han, Yulan Zhao, Pengcheng Liu, Xiaoli Zhu, Feng Mao, Xuelian He, Xin Lü, George Dimopoulos and Ying Wu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaonan Fu

18 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaonan Fu United States 14 395 229 135 96 66 19 670
Jikhyon Han South Korea 13 478 1.2× 199 0.9× 140 1.0× 63 0.7× 88 1.3× 27 733
Yipin Wu United States 15 818 2.1× 165 0.7× 289 2.1× 57 0.6× 60 0.9× 17 1000
Hironori Matsuura Japan 12 250 0.6× 72 0.3× 97 0.7× 76 0.8× 79 1.2× 24 693
Guoqing Chen China 13 617 1.6× 88 0.4× 60 0.4× 60 0.6× 88 1.3× 45 879
Mei Guo China 14 335 0.8× 234 1.0× 36 0.3× 79 0.8× 32 0.5× 26 504
Aimin Xue China 17 589 1.5× 265 1.2× 67 0.5× 20 0.2× 75 1.1× 30 841
Zengjie Lei China 20 515 1.3× 175 0.8× 188 1.4× 55 0.6× 86 1.3× 36 1.0k
Mujun Yu United States 12 469 1.2× 158 0.7× 131 1.0× 106 1.1× 75 1.1× 16 748
Filippo M. Cernilogar Germany 16 720 1.8× 97 0.4× 79 0.6× 43 0.4× 90 1.4× 27 981
Preeti M. Ismail Canada 9 282 0.7× 64 0.3× 165 1.2× 78 0.8× 123 1.9× 15 614

Countries citing papers authored by Xiaonan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaonan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaonan Fu

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

All Works

19 of 19 papers shown
1.
Li, Li, Xiaonan Fu, Kelsey Barcomb, et al.. (2025). Heterogeneous pericoerulear neurons tune arousal and exploratory behaviours. Nature. 643(8071). 437–447. 4 indexed citations
2.
Fu, Xiaonan, et al.. (2024). Dysregulation of deubiquitinases in gastric cancer progression. Frontiers in Oncology. 14. 1456710–1456710.
3.
Zhang, Xiaoping, et al.. (2023). Electrolyte modification method induced atomic arrangement in FeOx/NF nanosheets for efficient overall water splitting. Nanoscale. 15(37). 15328–15333. 3 indexed citations
4.
Liu, Qianqian, et al.. (2022). Neuroprotective Effect of HIIT against GFAP Hypertrophy through Mitochondrial Dynamics in APP/PS1 Mice. Oxidative Medicine and Cellular Longevity. 2022(1). 1764589–1764589. 7 indexed citations
5.
Fu, Xiaonan, Li Sun, Runze Dong, et al.. (2022). Polony gels enable amplifiable DNA stamping and spatial transcriptomics of chronic pain. Cell. 185(24). 4621–4633.e17. 80 indexed citations
6.
Fu, Xiaonan, Pengcheng Liu, George Dimopoulos, & Jinsong Zhu. (2020). Dynamic miRNA-mRNA interactions coordinate gene expression in adult Anopheles gambiae. PLoS Genetics. 16(4). e1008765–e1008765. 22 indexed citations
7.
Fu, Xiaonan, et al.. (2020). Regulation of circadian rhythm and sleep by miR‐375‐timeless interaction in Drosophila. The FASEB Journal. 34(12). 16536–16551. 13 indexed citations
8.
Dong, Shengzhang, Xiaonan Fu, Yuemei Dong, et al.. (2020). Broad spectrum immunomodulatory effects of Anopheles gambiae microRNAs and their use for transgenic suppression of Plasmodium. PLoS Pathogens. 16(4). e1008453–e1008453. 20 indexed citations
9.
Huang, Zhimin, Zengpeng Li, Xiao Zhang, et al.. (2020). Creating Red Light-Switchable Protein Dimerization Systems as Genetically Encoded Actuators with High Specificity. ACS Synthetic Biology. 9(12). 3322–3333. 26 indexed citations
10.
Kang, Shoukai, Kristian Davidsen, Xiaonan Fu, et al.. (2019). COMBINES-CID: An Efficient Method for De Novo Engineering of Highly Specific Chemically Induced Protein Dimerization Systems. Journal of the American Chemical Society. 141(28). 10948–10952. 37 indexed citations
11.
Liu, Pengcheng, Xiaonan Fu, & Jinsong Zhu. (2018). Juvenile hormone-regulated alternative splicing of thetaimangene primes the ecdysteroid response in adult mosquitoes. Proceedings of the National Academy of Sciences. 115(33). E7738–E7747. 37 indexed citations
12.
Fu, Xiaonan & Daoyuan Dong. (2018). Bioinformatic Analysis of MicroRNA Sequencing Data. Methods in molecular biology. 1751. 109–125. 11 indexed citations
13.
Fu, Xiaonan, et al.. (2017). Let-7c-5p inhibits cell proliferation and induces cell apoptosis by targeting ERCC6 in breast cancer. Oncology Reports. 38(3). 1851–1856. 58 indexed citations
14.
Fu, Xiaonan, George Dimopoulos, & Jinsong Zhu. (2017). Association of microRNAs with Argonaute proteins in the malaria mosquito Anopheles gambiae after blood ingestion. Scientific Reports. 7(1). 6493–6493. 21 indexed citations
15.
Liu, Pengcheng, et al.. (2015). Protein kinase C modulates transcriptional activation by the juvenile hormone receptor methoprene-tolerant. Insect Biochemistry and Molecular Biology. 70. 44–52. 43 indexed citations
16.
Fu, Xiaonan, Yijie Han, Ying Wu, et al.. (2011). Prognostic role of microRNA-21 in various carcinomas: a systematic review and meta-analysis. European Journal of Clinical Investigation. 41(11). 1245–1253. 135 indexed citations
17.
Han, Yijie, Feng Mao, Ying Wu, et al.. (2011). Prognostic Role of C-Reactive Protein in Breast Cancer: A Systematic Review and Meta-Analysis. The International Journal of Biological Markers. 26(4). 209–215. 85 indexed citations
18.
Zhao, Yulan, Xuelian He, Chengjin Huang, et al.. (2010). The impacts of thiazolidinediones on circulating C-reactive protein levels in different diseases: A meta-analysis. Diabetes Research and Clinical Practice. 90(3). 279–287. 13 indexed citations
19.
Wu, Ying, Xiaonan Fu, Xiaoli Zhu, et al.. (2010). Prognostic role of systemic inflammatory response in renal cell carcinoma: a systematic review and meta-analysis. Journal of Cancer Research and Clinical Oncology. 137(5). 887–896. 55 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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