Xiaojuan Su

1.2k total citations · 1 hit paper
78 papers, 783 citations indexed

About

Xiaojuan Su is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaojuan Su has authored 78 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 15 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in Xiaojuan Su's work include RNA modifications and cancer (16 papers), Cancer-related gene regulation (11 papers) and Cancer-related molecular mechanisms research (10 papers). Xiaojuan Su is often cited by papers focused on RNA modifications and cancer (16 papers), Cancer-related gene regulation (11 papers) and Cancer-related molecular mechanisms research (10 papers). Xiaojuan Su collaborates with scholars based in China, Italy and Ethiopia. Xiaojuan Su's co-authors include Yi Qu, Dezhi Mu, Dongqiong Xiao, Lingyi Huang, Xing Hu, Yue Zhou, Fan Yang, Jing Li, Lingling Yang and Fengyan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaojuan Su

67 papers receiving 774 citations

Hit Papers

Global burden of depression or depressive symptoms in chi... 2024 2026 2025 2024 10 20 30 40 50
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.

  1. Global burden of depression or depressive symptoms in children and adolescents: A systematic review and meta-analysis
    2024 54 citations Xiaojuan Su et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojuan Su China 15 360 126 113 96 68 78 783
Yang Cai China 14 389 1.1× 115 0.9× 80 0.7× 63 0.7× 85 1.3× 46 788
Ji Hyae Lim South Korea 22 350 1.0× 106 0.8× 74 0.7× 93 1.0× 151 2.2× 76 1.3k
Yihuan Chen China 16 356 1.0× 81 0.6× 100 0.9× 44 0.5× 63 0.9× 44 784
Л.М. Михалева Russia 18 334 0.9× 146 1.2× 104 0.9× 94 1.0× 168 2.5× 208 1.1k
Ning Zhu China 17 411 1.1× 227 1.8× 79 0.7× 74 0.8× 125 1.8× 48 1.1k
Fan Bu China 19 524 1.5× 129 1.0× 52 0.5× 75 0.8× 59 0.9× 55 956
Rui Shi China 18 382 1.1× 87 0.7× 103 0.9× 94 1.0× 91 1.3× 59 855

Countries citing papers authored by Xiaojuan Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Su. A scholar is included among the top collaborators of Xiaojuan Su 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 Su. Xiaojuan Su 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.
Zhang, Deshuang, et al.. (2025). Mechanistic insights into vascular biology via methyltransferase-like 3-driven N6-adenosine methylation of RNA. Frontiers in Cell and Developmental Biology. 12. 1482753–1482753. 2 indexed citations
2.
Cao, Lijuan, Yanan Li, Artem Smirnov, et al.. (2025). Mesenchymal stromal cells highly expressing Sca-1 promote breast cancer lung metastasis through recruiting myeloid cells. Cell Death and Disease. 16(1). 507–507. 1 indexed citations
3.
Su, Xiaojuan, et al.. (2025). Effects of TA-65 on telomere length, functional outcomes, and inflammation: a systematic review and meta-analysis. Cell Biology and Toxicology. 41(1). 155–155.
4.
5.
Song, Jinjing, Xiaojuan Su, Dandan Zhu, et al.. (2025). The effects of honey processing on nanoparticles in Astragali Radix decoction: Self-assembly, bioavailability, and bioactivity. Food Research International. 218. 116877–116877.
6.
Su, Xiaojuan, Yi Qu, & Dezhi Mu. (2024). Methyltransferase-like 3 modifications of RNAs: Implications for the pathology in the endocrine system. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(4). 167010–167010. 8 indexed citations
7.
Li, Hui, Haoyang Sun, Shiping Li, et al.. (2024). Hydrogen alleviates hypoxic–ischaemic brain damage in neonatal rats by inhibiting injury of brain pericytes. Journal of Cellular and Molecular Medicine. 28(13). e18505–e18505. 8 indexed citations
8.
Zhang, Deshuang, et al.. (2024). Understanding how methyltransferase-like 3 functions in lung diseases: From pathogenesis to clinical application. Biomedicine & Pharmacotherapy. 179. 117421–117421. 4 indexed citations
9.
Xiao, Dongqiong, et al.. (2024). Functions of methyltransferase-like 3 in breast cancer: pathogenesis, drug resistance, and therapeutic target. Breast Cancer Research. 26(1). 110–110. 2 indexed citations
10.
Qiu, Xia, et al.. (2023). Pleiotrophin ameliorates white matter injury of neonatal rats by activating the mTOR/YY1/Id4 signaling pathway. The FASEB Journal. 37(8). e23082–e23082. 3 indexed citations
11.
Li, Xiaodong, et al.. (2023). Bibliometric and visual analysis of diabetes mellitus and pyroptosis from 2011 to 2022. European journal of medical research. 28(1). 235–235. 2 indexed citations
12.
Su, Xiaojuan, Yi Qu, & Dezhi Mu. (2023). The Regulatory Network of METTL3 in the Nervous System: Diagnostic Biomarkers and Therapeutic Targets. Biomolecules. 13(4). 664–664. 21 indexed citations
13.
Li, Haiyan, et al.. (2023). Clinical effects of laparoscopic surgery for the treatment of endometriosis and endometriosis-fertility: A retrospective study of 226 cases. Frontiers in Surgery. 9. 1049119–1049119. 6 indexed citations
14.
15.
Sun, Hao, Xiaojuan Su, Lingyi Huang, Dezhi Mu, & Yi Qu. (2021). Research Progress on the Cardiac Injury from ACE2 Targeting in SARS-CoV-2 Infection. Biomolecules. 11(2). 196–196. 5 indexed citations
16.
17.
Meng, Xianglong, Xiaoyan Zhang, Xiaojuan Su, et al.. (2021). Daphnes Cortex and its licorice-processed products suppress inflammation via the TLR4/NF-κB/NLRP3 signaling pathway and regulation of the metabolic profile in the treatment of rheumatoid arthritis. Journal of Ethnopharmacology. 283. 114657–114657. 36 indexed citations
18.
Qiu, Xia, Huiqing Wang, Ying Tang, et al.. (2020). Is interleukin-2 an optimal marker for diagnosing tuberculosis infection? A systematic review and meta-analysis. Annals of Medicine. 52(7). 376–385. 14 indexed citations
19.
Xiao, Dongqiong, Xihong Li, Xiaojuan Su, Dezhi Mu, & Yi Qu. (2020). Could SARS-CoV-2-induced lung injury be attenuated by vitamin D?. International Journal of Infectious Diseases. 102. 196–202. 21 indexed citations
20.
Su, Xiaojuan, Lingyi Huang, Dongqiong Xiao, Yi Qu, & Dezhi Mu. (2018). Research Progress on the Role and Mechanism of Action of Activin A in Brain Injury. Frontiers in Neuroscience. 12. 697–697. 12 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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