Xin Fu

6.8k total citations · 1 hit paper
112 papers, 3.1k citations indexed

About

Xin Fu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xin Fu has authored 112 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 19 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xin Fu's work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (8 papers). Xin Fu is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (8 papers). Xin Fu collaborates with scholars based in China, United States and Hong Kong. Xin Fu's co-authors include Ping Hu, Huating Wang, Quan Hao, Jing Tian, Weide Zhong, Kang Zhang, Ying Chen, Lei Zhang, Huichan He and Liangfang Zhang and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Xin Fu

103 papers receiving 3.1k citations

Hit Papers

Inflammation and sarcopenia: A focus on circulating infla... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Fu China 33 1.8k 735 345 332 292 112 3.1k
Ming‐Yu Yang Taiwan 31 2.1k 1.1× 651 0.9× 224 0.6× 331 1.0× 248 0.8× 149 4.2k
Shunji Hattori Japan 33 1.5k 0.8× 439 0.6× 302 0.9× 281 0.8× 285 1.0× 168 3.5k
Qi Zhang China 31 1.6k 0.9× 890 1.2× 284 0.8× 380 1.1× 333 1.1× 144 3.0k
Shi‐You Chen United States 34 2.0k 1.1× 708 1.0× 410 1.2× 258 0.8× 469 1.6× 128 3.6k
Yan Chen China 34 1.5k 0.8× 563 0.8× 214 0.6× 577 1.7× 245 0.8× 187 3.7k
Cristiane H. Squarize United States 31 1.7k 1.0× 542 0.7× 339 1.0× 673 2.0× 380 1.3× 89 3.4k
Tan Zhang China 30 1.8k 1.0× 404 0.5× 302 0.9× 444 1.3× 409 1.4× 126 3.6k
Xinyu Wu China 31 1.4k 0.7× 499 0.7× 344 1.0× 295 0.9× 288 1.0× 167 3.6k
Jung‐Eun Kim South Korea 35 2.4k 1.3× 646 0.9× 240 0.7× 694 2.1× 333 1.1× 121 4.4k
Yong Fan China 34 2.4k 1.3× 689 0.9× 666 1.9× 238 0.7× 242 0.8× 126 4.1k

Countries citing papers authored by Xin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Fu. A scholar is included among the top collaborators of Xin 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 Xin Fu. Xin 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
2.
Zhang, Tianyuan, Wenyuan Sui, Jingfan Yang, et al.. (2025). The Neurogenic Abnormities of Paraspinal Muscles Lead to Asymmetry of Fibre Types in Adolescent Idiopathic Scoliosis. Journal of Cellular and Molecular Medicine. 29(10). e70619–e70619. 2 indexed citations
3.
Fu, Xin, et al.. (2025). Integrated omics profiling of individual variations in intestinal damage to the soybean allergen in piglets. Frontiers in Veterinary Science. 11. 1521544–1521544.
4.
Wei, Xin, Gang Zhao, Zhenshan Jia, et al.. (2024). Single dose thermoresponsive dexamethasone prodrug completely mitigates joint pain for 15 weeks in a murine model of osteoarthritis. Nanomedicine Nanotechnology Biology and Medicine. 57. 102735–102735. 4 indexed citations
7.
Han, Lili, Biao Liu, Yuang Wang, et al.. (2023). Gli1 marks a sentinel muscle stem cell population for muscle regeneration. Nature Communications. 14(1). 6993–6993. 12 indexed citations
8.
Ye, Xin, Zhicong Chen, Xiaomin Li, et al.. (2023). Semen parameters' mediation effect on the association between advanced paternal age and IVF clinical outcomes: A 10-year retrospective cohort study. Maturitas. 173. 20–27. 1 indexed citations
9.
Li, Rong, Juan Xu, Shuna Liu, et al.. (2023). Circulating CD4+ Treg, CD8+ Treg, and CD3+ γδ T Cell Subpopulations in Ovarian Cancer. Medicina. 59(2). 205–205. 5 indexed citations
10.
Sun, Xiangyu, Xin Fu, Shouping Xu, et al.. (2021). OLR1 is a prognostic factor and correlated with immune infiltration in breast cancer. International Immunopharmacology. 101(Pt B). 108275–108275. 18 indexed citations
11.
Lu, Wenhao, Wenfeng Xiao, Wenqing Xie, et al.. (2021). The Role of Osteokines in Sarcopenia: Therapeutic Directions and Application Prospects. Frontiers in Cell and Developmental Biology. 9. 735374–735374. 23 indexed citations
12.
Dong, Xiaoyan, Xin Fu, Yu Matsukura, & Li Z. (2020). Long Intergenic Non-Protein Coding RNA 1094 Promotes Initiation and Progression of Glioblastoma by Promoting microRNA-577-Regulated Stabilization of Brain-Derived Neurotrophic Factor. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Liu, Wenbo, Kang Wang, Xiaoyan Lv, et al.. (2019). Up-regulation of RNA Binding Proteins Contributes to Folate Deficiency-Induced Neural Crest Cells Dysfunction. International Journal of Biological Sciences. 16(1). 85–98. 11 indexed citations
14.
Zhong, Weide, Xin Fu, Guo Chen, et al.. (2016). Overexpression of BUB1B contributes to progression of prostate cancer and predicts poor outcome in patients with prostate cancer. OncoTargets and Therapy. 9. 2211–2211. 93 indexed citations
15.
Fu, Xin, Jun Xiao, Yuning Wei, et al.. (2015). Combination of inflammation-related cytokines promotes long-term muscle stem cell expansion. Cell Research. 25(6). 655–673. 134 indexed citations
16.
Zhang, Yi, Yingfeng Wang, Kai Yang, et al.. (2014). BMP4 Increases the Expression of TRPC and Basal [Ca2+]i via the p38MAPK and ERK1/2 Pathways Independent of BMPRII in PASMCs. PLoS ONE. 9(12). e112695–e112695. 36 indexed citations
17.
Huang, Yaqiang, Zhaodong Han, Yuxiang Liang, et al.. (2013). Decreased expression of myosin light chain MYL9 in stroma predicts malignant progression and poor biochemical recurrence-free survival in prostate cancer. Medical Oncology. 31(1). 820–820. 43 indexed citations
18.
Zhao, Jin, Xinyang Wu, Xiaohui Ling, et al.. (2013). Analysis of genetic aberrations on chromosomal region 8q21–24 identifies E2F5 as an oncogene with copy number gain in prostate cancer. Medical Oncology. 30(1). 465–465. 23 indexed citations
19.
Belge, Gazanfer, Siegfried Loeschke, Werner Wosniok, et al.. (2011). Decrease in thyroid adenoma associated (THADA) expression is a marker of dedifferentiation of thyroid tissue. BMC Clinical Pathology. 11(1). 13–13. 9 indexed citations
20.
Fu, Xin, Samantha Zunich, Jason C. O’Connor, et al.. (2010). Central Administration of Lipopolysaccharide Induces Depressive-like Behavior in Vivo and Activates Brain Indoleamine 2,3 Dioxygenase In Murine Organotypic Hippocampal Slice Cultures. Journal of Neuroinflammation. 7(1). 43–43. 104 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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