Xiaojuan Fan

2.8k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Xiaojuan Fan is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaojuan Fan has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Xiaojuan Fan's work include RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers) and Circular RNAs in diseases (4 papers). Xiaojuan Fan is often cited by papers focused on RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers) and Circular RNAs in diseases (4 papers). Xiaojuan Fan collaborates with scholars based in China, United States and Italy. Xiaojuan Fan's co-authors include Zefeng Wang, Yang Wang, Catherine C. L. Wong, Miaowei Mao, Yun Yang, Yongfeng Jin, Xinshu Xiao, Ling‐Ling Chen, Xiaowei Song and Yang Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and eLife.

In The Last Decade

Xiaojuan Fan

17 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Extensive translation of circular RNAs driven by N6-methyladenosine

2017 1.4k citations Yun Yang, Xiaojuan Fan et al. Cell Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaojuan Fan China	12	1.9k	1.3k	88	76	63	18	2.1k
Weiqun Chen China	21	741 0.4×	541 0.4×	126 1.4×	39 0.5×	72 1.1×	55	1.4k
Xinyu Liu China	14	591 0.3×	287 0.2×	141 1.6×	49 0.6×	32 0.5×	69	927
Juan Gao China	18	624 0.3×	246 0.2×	86 1.0×	16 0.2×	52 0.8×	43	904
Yao Xu China	16	520 0.3×	210 0.2×	95 1.1×	42 0.6×	48 0.8×	70	908
Rongyang Dai China	18	489 0.3×	228 0.2×	94 1.1×	13 0.2×	75 1.2×	37	869
Yuanbo Cui China	19	787 0.4×	450 0.3×	54 0.6×	32 0.4×	68 1.1×	47	1.0k
Jiaxin Yang China	17	670 0.4×	436 0.3×	86 1.0×	23 0.3×	38 0.6×	54	1.2k
Xingju Zhang China	17	998 0.5×	789 0.6×	100 1.1×	12 0.2×	50 0.8×	34	1.3k
Tingting Yao China	18	442 0.2×	314 0.2×	87 1.0×	11 0.1×	76 1.2×	59	870

Countries citing papers authored by Xiaojuan Fan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojuan Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Fan

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

All Works

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18 of 18 papers shown

Fan, Xiaojuan, et al.. (2025). Analysis of RNA translation with a deep learning architecture provides new insight into translation control. Nucleic Acids Research. 53(7). 2 indexed citations

Fan, Xiaojuan, et al.. (2025). Recovery time of atrioventricular conduction and its influencing factors in patients presenting late with inferior wall acute myocardial infarction and atrioventricular block. BMC Cardiovascular Disorders. 25(1). 138–138.

Wang, Xindi, et al.. (2025). Predictability of central corneal stromal thickness reduction in InnovEyes ablation profile: A retrospective study. Photodiagnosis and Photodynamic Therapy. 53. 104570–104570. 2 indexed citations

Li, Shanshan, et al.. (2024). Pretreatment with Indole-3-Propionic Acid Attenuates Lipopolysaccharide-Induced Cardiac Dysfunction and Inflammation Through the AhR/NF-κB/NLRP3 Pathway. Journal of Inflammation Research. Volume 17. 5293–5309. 9 indexed citations

Wei, Huanhuan, Xiaojuan Fan, & Miaowei Mao. (2024). A Review on Circular RNA Translation and Its Implications in Disease. Methods in molecular biology. 2883. 109–137. 3 indexed citations

Fan, Xiaojuan, et al.. (2022). Pervasive translation of circular RNAs driven by short IRES-like elements. Nature Communications. 13(1). 3751–3751. 125 indexed citations

Fan, Wei, Shuang Tang, Xiaojuan Fan, et al.. (2021). SIRT1 regulates sphingolipid metabolism and neural differentiation of mouse embryonic stem cells through c-Myc-SMPDL3B. eLife. 10. 29 indexed citations

Wei, Huanhuan, Xiaojuan Fan, Yue Hu, et al.. (2021). A systematic survey of PRMT interactomes reveals the key roles of arginine methylation in the global control of RNA splicing and translation. Science Bulletin. 66(13). 1342–1357. 25 indexed citations

Fan, Xiaojuan, Rui Qu, & Zhefeng Zhang. (2021). Relation Between Strength and Hardness of High-Entropy Alloys. Acta Metallurgica Sinica (English Letters). 34(11). 1461–1482. 52 indexed citations

10.

Ling, Yunchao, Sirui Zhang, Ruifang Cao, et al.. (2020). TransCirc: an interactive database for translatable circular RNAs based on multi-omics evidence. Nucleic Acids Research. 49(D1). D236–D242. 87 indexed citations

11.

Lin, Xiaolong, Huijun Hu, Yuanbo Liu, et al.. (2017). Allicin induces the upregulation of ABCA1 expression via PPARγ/LXRα signaling in THP-1 macrophage-derived foam cells. International Journal of Molecular Medicine. 39(6). 1452–1460. 56 indexed citations

12.

Yang, Yun, Xiaojuan Fan, Miaowei Mao, et al.. (2017). Extensive translation of circular RNAs driven by N6-methyladenosine. Cell Research. 27(5). 626–641. 1439 indexed citations breakdown →

13.

Lin, Xiaolong, Mi‐Hua Liu, Yuanbo Liu, et al.. (2017). Transforming growth factor β1 promotes migration and invasion in HepG2 cells: Epithelial‑to‑mesenchymal transition via JAK/STAT3 signaling. International Journal of Molecular Medicine. 41(1). 129–136. 25 indexed citations

14.

Wang, Feng, Xing Fu, Peng Chen, et al.. (2017). SPSB1-mediated HnRNP A1 ubiquitylation regulates alternative splicing and cell migration in EGF signaling. Cell Research. 27(4). 540–558. 55 indexed citations

15.

Qi, Yangfan, Jing Yu, Wei Han, et al.. (2016). A splicing isoform of TEAD4 attenuates the Hippo–YAP signalling to inhibit tumour proliferation. Nature Communications. 7(1). ncomms11840–ncomms11840. 65 indexed citations

16.

Lin, Xiao‐Long, et al.. (2015). Curcumin mediates reversion of HGF-induced epithelial-mesenchymal transition via inhibition of c-Met expression in DU145 cells. Oncology Letters. 11(2). 1499–1505. 38 indexed citations

17.

Lin, Xiaolong, Mi‐Hua Liu, Hongru Feng, et al.. (2015). Curcumin Enhanced Cholesterol Efflux by Upregulating ABCA1 Expression Through AMPK-SIRT1-LXRα Signaling in THP-1 Macrophage-Derived Foam Cells. DNA and Cell Biology. 34(9). 561–572. 72 indexed citations

18.

Fan, Xiaojuan, et al.. (2014). Designing Peptide-Based HIV Vaccine for Chinese. BioMed Research International. 2014. 1–8. 8 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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