Shaoxu Wu

2.7k total citations · 1 hit paper
25 papers, 994 citations indexed

About

Shaoxu Wu is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Shaoxu Wu has authored 25 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 10 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Shaoxu Wu's work include Bladder and Urothelial Cancer Treatments (15 papers), Urinary and Genital Oncology Studies (11 papers) and Colorectal Cancer Screening and Detection (7 papers). Shaoxu Wu is often cited by papers focused on Bladder and Urothelial Cancer Treatments (15 papers), Urinary and Genital Oncology Studies (11 papers) and Colorectal Cancer Screening and Detection (7 papers). Shaoxu Wu collaborates with scholars based in China, Taiwan and Nepal. Shaoxu Wu's co-authors include Tianxin Lin, Junjiong Zheng, Jian Huang, Hao Yu, Siya Shi, Weibin Xie, Yong Li, Yangfan Su, Hao Liu and Xu Chen and has published in prestigious journals such as PLoS ONE, Cancer and The Lancet Oncology.

In The Last Decade

Shaoxu Wu

24 papers receiving 989 citations

Hit Papers

A Radiomics Nomogram for the Preoperative Prediction of L... 2017 2026 2020 2023 2017 100 200 300
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. A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer
    2017 313 citations Shaoxu Wu, Junjiong Zheng et al. Clinical Cancer Research profile →

Peers

Shaoxu Wu
Shuangmei Zou China
Li-Zhi Liu China
Joshua Chaim United States
Aurélie Garant United States
Nalee Kim South Korea
Hwa Kyung Byun South Korea
Hubert H. Chuang United States
Giulio Francolini Italy
Sebastian Hofbauer Austria
Shuangmei Zou China
Shaoxu Wu
Citations per year, relative to Shaoxu Wu Shaoxu Wu (= 1×) peers Shuangmei Zou

Countries citing papers authored by Shaoxu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaoxu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoxu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoxu Wu. A scholar is included among the top collaborators of Shaoxu 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 Shaoxu Wu. Shaoxu 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
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Wang, Geng, Jiale Chen, Xiong Chen, et al.. (2023). Machine learning-based models for predicting mortality and acute kidney injury in critical pulmonary embolism. BMC Cardiovascular Disorders. 23(1). 385–385. 13 indexed citations
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Zhang, Yuanfeng, Shaoxu Wu, Tianxiang Zhu, et al.. (2023). Construction of 3D and 2D contrast-enhanced CT radiomics for prediction of CGB3 expression level and clinical prognosis in bladder cancer. Heliyon. 9(9). e20335–e20335. 3 indexed citations
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Pan, Jiexin, et al.. (2023). An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer. Journal of Translational Medicine. 21(1). 42–42. 16 indexed citations
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Wu, Shaoxu, Xun Xu, Hong Zeng, et al.. (2023). Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study. The Lancet Oncology. 24(4). 360–370. 48 indexed citations
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Chen, Guanxing, Haiqing Liu, Wei Jiang, et al.. (2023). MRI-based automated machine learning model for preoperative identification of variant histology in muscle-invasive bladder carcinoma. European Radiology. 34(3). 1804–1815. 10 indexed citations
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Kong, Jianqiu, Junjiong Zheng, Jieying Wu, et al.. (2022). Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation. Journal of Translational Medicine. 20(1). 31–31. 15 indexed citations
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Dong, Wen, Xiong Chen, Ming Huang, et al.. (2021). Long-Term Oncologic Outcomes After Laparoscopic and Robotic Tumor Enucleation for Renal Cell Carcinoma. Frontiers in Oncology. 10. 595457–595457. 4 indexed citations
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Zheng, Junjiong, Hao Yu, Zhenfeng Shi, et al.. (2021). A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning. Kidney International. 100(4). 870–880. 43 indexed citations
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Diao, Xiayao, Jinhua Cai, Junjiong Zheng, et al.. (2020). Association of chromosome 7 aneuploidy measured by fluorescence in situ hybridization assay with muscular invasion in bladder cancer. Cancer Communications. 40(4). 167–180. 10 indexed citations
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Kong, Jianqiu, Junjiong Zheng, Jinhua Cai, et al.. (2019). A nomogram for individualized estimation of survival among adult patients with adrenocortical carcinoma after surgery: a retrospective analysis and multicenter validation study. Cancer Communications. 39(1). 80–80. 30 indexed citations
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Zheng, Junjiong, Jianqiu Kong, Shaoxu Wu, et al.. (2019). Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach. Cancer. 125(24). 4388–4398. 60 indexed citations
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Wu, Shaoxu, Jian Huang, Zhuowei Liu, et al.. (2018). A Genomic-clinicopathologic Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer. EBioMedicine. 31. 54–65. 27 indexed citations
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Li, Yong, Siya Shi, Kaiwen Li, et al.. (2018). Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer. Chinese Journal of Cancer. 37(1). 3–3. 17 indexed citations
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Wu, Shaoxu, Junjiong Zheng, Yong Li, et al.. (2017). A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer. Clinical Cancer Research. 23(22). 6904–6911. 313 indexed citations breakdown →
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Li, Kuiqing, Xu Chen, Cheng Liu, et al.. (2015). Pirarubicin induces an autophagic cytoprotective response through suppression of the mammalian target of rapamycin signaling pathway in human bladder cancer cells. Biochemical and Biophysical Research Communications. 460(2). 380–385. 16 indexed citations
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Peng, Yang, Wen Dong, Tianxin Lin, et al.. (2015). MicroRNA-155 promotes bladder cancer growth by repressing the tumor suppressor DMTF1. Oncotarget. 6(18). 16043–16058. 49 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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