Xiaoli Wu

3.9k total citations
82 papers, 2.8k citations indexed

About

Xiaoli Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaoli Wu has authored 82 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 19 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Xiaoli Wu's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (7 papers). Xiaoli Wu is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (7 papers). Xiaoli Wu collaborates with scholars based in China, Canada and United States. Xiaoli Wu's co-authors include Hao Ding, András Nagy, Sumit Sandhu, Patrick Shannon, Hao Ding, Luba Roncari, Xiangjian Chen, David H. Gutmann, Nelson C. Lau and Guanli Huang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaoli Wu

78 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Wu China 30 1.8k 741 438 320 272 82 2.8k
Tiziana Annese Italy 30 1.7k 1.0× 772 1.0× 800 1.8× 217 0.7× 264 1.0× 99 3.2k
Prashanth T. Bhaskar United States 9 1.9k 1.1× 890 1.2× 335 0.8× 203 0.6× 231 0.8× 9 2.5k
Hyuk‐Jin Cha South Korea 29 1.7k 1.0× 364 0.5× 431 1.0× 142 0.4× 190 0.7× 117 2.5k
Yang‐Sook Chun South Korea 33 2.1k 1.2× 1.5k 2.0× 682 1.6× 401 1.3× 373 1.4× 68 3.6k
Jun Zhan China 30 1.6k 0.9× 537 0.7× 384 0.9× 209 0.7× 146 0.5× 83 2.5k
Jean‐Marc Brondello France 21 2.0k 1.1× 548 0.7× 413 0.9× 294 0.9× 168 0.6× 43 2.9k
Hsei–Wei Wang Taiwan 25 1.2k 0.7× 721 1.0× 977 2.2× 246 0.8× 287 1.1× 43 2.6k
Kou‐Juey Wu Taiwan 30 2.5k 1.4× 894 1.2× 661 1.5× 626 2.0× 166 0.6× 59 3.6k
Naoharu Takano Japan 23 1.3k 0.7× 978 1.3× 595 1.4× 129 0.4× 210 0.8× 45 2.5k
Xueyan Wang China 18 1.4k 0.8× 380 0.5× 423 1.0× 133 0.4× 226 0.8× 61 2.0k

Countries citing papers authored by Xiaoli Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Wu. A scholar is included among the top collaborators of Xiaoli Wu 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 Xiaoli Wu. Xiaoli Wu 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.
Saville, Jennifer T., Richard Hemming, Shirley Yu, et al.. (2025). Generation of mice with combined Hexa Gly269Ser KI or KO and Neu3 KO alleles to create new models of GM2 gangliosidoses. Biology Open. 14(9).
2.
Wu, Xiaoli, et al.. (2025). Deep learning-based prediction of enhanced CT scans for lymph node metastasis in esophageal squamous cell carcinoma. Japanese Journal of Radiology. 43(8). 1347–1356.
3.
Wang, Rong, Cheng‐Hu Hu, Kun Chen, et al.. (2025). HOPX regulates the invasion and migration abilities of hepatocellular carcinoma by targeting SNAIL. Scientific Reports. 15(1). 29739–29739. 1 indexed citations
4.
Zhang, Wenwen, Huidong Wang, Danli Peng, et al.. (2024). Highly specific multiplex DNA methylation detection for liquid biopsy of colorectal cancer. Clinica Chimica Acta. 565. 120026–120026. 5 indexed citations
5.
Lin, Xiaodong, Xiaoli Wu, Yini Zhang, et al.. (2023). Effect of Vitamin D Supplementation on Clinical Course and T Helper 17/ T-Regulatory Balance in Peripheral Blood of Patients with Crohn’s Disease. The Turkish Journal of Gastroenterology. 34(5). 463–471. 2 indexed citations
6.
Wu, Xiaoli, Chun-Wei Chen, Sangeeta Jaiswal, et al.. (2023). Near-Infrared Imaging of Colonic Adenomas In Vivo Using Orthotopic Human Organoids for Early Cancer Detection. Cancers. 15(19). 4795–4795. 1 indexed citations
7.
Wu, Xiaoli, Louise R. Simard, & Hao Ding. (2023). Generation of Conditional Knockout Alleles for PRUNE-1. Cells. 12(4). 524–524. 2 indexed citations
8.
Jia, Ping, Sujuan Xu, Xiaoyan Wang, et al.. (2022). Chemokine CCL2 from proximal tubular epithelial cells contributes to sepsis-induced acute kidney injury. American Journal of Physiology-Renal Physiology. 323(2). F107–F119. 26 indexed citations
9.
10.
Wu, Xiaoli, Juan Zhou, Xiaoqing Meng, et al.. (2019). Detection of colonic neoplasia in vivo using near-infrared-labeled peptide targeting cMet. Scientific Reports. 9(1). 17917–17917. 10 indexed citations
11.
Wu, Xiaoli, et al.. (2016). [The expression and significance of heparanase in oral squamous cell carcinoma with different metastatic potentials].. PubMed. 96(38). 3047–3052. 1 indexed citations
12.
Yang, Yongfeng, Xiaoli Wu, Rong Zhang, et al.. (2016). MicroRNA-497 regulates cisplatin chemosensitivity of cervical cancer by targeting transketolase.. PubMed Central. 6(11). 2690–2699. 48 indexed citations
13.
Sun, Hongwei, Xiaoli Wu, Fang Wu, et al.. (2015). Associations of Genetic Variants in the PSCA, MUC1 and PLCE1 Genes with Stomach Cancer Susceptibility in a Chinese Population. PLoS ONE. 10(2). e0117576–e0117576. 26 indexed citations
14.
Li, Heng, Wen Li, Liumin He, et al.. (2015). Enhanced regeneration and functional recovery after spinal root avulsion by manipulation of the proteoglycan receptor PTPσ. Scientific Reports. 5(1). 14923–14923. 34 indexed citations
15.
Li, Yangguang, Ti Wen, Lixin Li, et al.. (2013). Glycoproteomic analysis of tissues from patients with colon cancer using lectin microarrays and nanoLC-MS/MS. Molecular BioSystems. 9(7). 1877–1887. 33 indexed citations
16.
Yin, Haitao, et al.. (2013). In Vivo Evaluation of Curcumin-loaded Nanoparticles in a A549 Xenograft Mice Model. Asian Pacific Journal of Cancer Prevention. 14(1). 409–412. 65 indexed citations
17.
Wu, Xiaoli, et al.. (2012). Generation of a mouse model for studying the role of upregulated RTEL1 activity in tumorigenesis. Transgenic Research. 21(5). 1109–1115. 22 indexed citations
18.
Nicklas, Sarah, Anthony Otto, Xiaoli Wu, et al.. (2012). TRIM32 Regulates Skeletal Muscle Stem Cell Differentiation and Is Necessary for Normal Adult Muscle Regeneration. PLoS ONE. 7(1). e30445–e30445. 65 indexed citations
19.
Krijger, Peter H.L., Kyoo‐young Lee, Niek Wit, et al.. (2011). HLTF and SHPRH are not essential for PCNA polyubiquitination, survival and somatic hypermutation: Existence of an alternative E3 ligase. DNA repair. 10(4). 438–444. 52 indexed citations
20.
Ding, Hao, Xiaoli Wu, Marina Gertsenstein, et al.. (2004). Regulation of Murine Telomere Length by Rtel. Cell. 117(7). 873–886. 251 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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