Xiuling Wu

436 total citations
31 papers, 347 citations indexed

About

Xiuling Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Xiuling Wu has authored 31 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 9 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in Xiuling Wu's work include Prostate Cancer Treatment and Research (7 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). Xiuling Wu is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). Xiuling Wu collaborates with scholars based in China and United States. Xiuling Wu's co-authors include Qiqiang Zeng, Li Wan, Mo Shen, Shaoliang Han, Junlin Li, Zhanguo Chen, Zhihua Tao, Zhiliang Weng, Wu Zhou and Zhi Liu and has published in prestigious journals such as PLoS ONE, Cell Death and Disease and Urology.

In The Last Decade

Xiuling Wu

30 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuling Wu China 13 196 125 100 65 61 31 347
Raffaele Piscitelli Italy 8 146 0.7× 74 0.6× 149 1.5× 63 1.0× 87 1.4× 18 336
Elyse L. Walk United States 8 192 1.0× 101 0.8× 110 1.1× 34 0.5× 64 1.0× 10 338
Eduardo Caetano Albino da Silva Brazil 11 140 0.7× 102 0.8× 122 1.2× 104 1.6× 123 2.0× 28 350
Caipeng Qin China 12 202 1.0× 95 0.8× 93 0.9× 49 0.8× 85 1.4× 41 359
Jürgen Stahl Australia 10 216 1.1× 75 0.6× 85 0.8× 35 0.5× 87 1.4× 20 364
Troy A. McEachron United States 10 115 0.6× 59 0.5× 73 0.7× 62 1.0× 63 1.0× 17 317
Alessandra Modena Italy 11 148 0.8× 114 0.9× 183 1.8× 59 0.9× 147 2.4× 29 368
W. P. Peelen Netherlands 9 150 0.8× 85 0.7× 212 2.1× 100 1.5× 62 1.0× 14 400
Eungbae Lee South Korea 10 178 0.9× 64 0.5× 107 1.1× 33 0.5× 52 0.9× 24 304
Cristina Niccoli Italy 11 156 0.8× 129 1.0× 140 1.4× 72 1.1× 150 2.5× 19 393

Countries citing papers authored by Xiuling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiuling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuling Wu. A scholar is included among the top collaborators of Xiuling 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 Xiuling Wu. Xiuling 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.
Wu, Xiuling, et al.. (2024). Optimization of energy dispatch for commercial and industrial users based on demand management strategies. Applied Mathematics and Nonlinear Sciences. 9(1).
2.
Li, Yonglin, et al.. (2021). Genotyping Helicobacter pylori antibiotic resistance and virulence-associated genes in patients with gastric cancer in Wenzhou, China. Arab Journal of Gastroenterology. 22(4). 267–271. 7 indexed citations
3.
4.
Che, Nanying, et al.. (2019). Efficient ten-gene analysis of NSCLC tissue samples by next-generation sequencing. Pathology - Research and Practice. 215(5). 1066–1070. 5 indexed citations
5.
Yu, Zhixian, et al.. (2019). Acute renal impairment characterization using diffusion magnetic resonance imaging: Validation by histology. NMR in Biomedicine. 32(9). e4126–e4126. 1 indexed citations
6.
Chen, Gang, Huajun Yu, Yi Wang, et al.. (2018). A novel nomogram for the prediction of intrahepatic cholangiocarcinoma in patients with intrahepatic lithiasis complicated by imagiologically diagnosed mass. Cancer Management and Research. Volume 10. 847–856. 8 indexed citations
7.
Shan, Yunfeng, Mengtao Zhou, Xiangwu Zheng, et al.. (2018). Localized intrahepatic IgG4-related sclerosing cholangitis (IgG4-SC) as an additional type of IgG4-SC: a systematic analysis of 12 cases. Scandinavian Journal of Gastroenterology. 53(3). 312–318. 4 indexed citations
8.
Pan, Yibin, Yuewen Gong, Hongfeng Ruan, et al.. (2015). Sonic hedgehog through Gli2 and Gli3 is required for the proper development of placental labyrinth. Cell Death and Disease. 6(2). e1653–e1653. 32 indexed citations
9.
Zhou, Wu, Zhihua Tao, Zhongyong Wang, et al.. (2014). Long noncoding RNA PCA3 gene promoter region is related to the risk of prostate cancer on Chinese males. Experimental and Molecular Pathology. 97(3). 550–553. 11 indexed citations
10.
Shen, Mo, Xiuzhi Duan, Ping Zhou, et al.. (2014). Lymphotoxin β receptor activation promotes bladder cancer in a nuclear factor-κB-dependent manner. Molecular Medicine Reports. 11(2). 783–790. 12 indexed citations
11.
12.
Zhou, Wu, Zhanguo Chen, Mo Shen, et al.. (2011). Association of Short Tandem Repeat Polymorphism in the Promoter of Prostate Cancer Antigen 3 Gene with the Risk of Prostate Cancer. PLoS ONE. 6(5). e20378–e20378. 15 indexed citations
13.
Chen, Yuhua, Siqi Wang, Xiuling Wu, et al.. (2011). Characterization of microRNAs expression profiling in one group of Chinese urothelial cell carcinoma identified by Solexa sequencing. Urologic Oncology Seminars and Original Investigations. 31(2). 219–227. 33 indexed citations
14.
Wu, Xiuling. (2010). Quantitative detection of T1E4 mRNA-the isoform of fusion gene TMPRSS2:ERG in urine for the diagnosis of prostate cancer. Chinese Journal of Health Laboratory Technology. 1 indexed citations
15.
Zhang, Xiaohua, et al.. (2010). Prognostic and metastatic value of phosphatase of regenerating liver-3 in invasive breast cancer. Journal of Cancer Research and Clinical Oncology. 136(9). 1349–1357. 25 indexed citations
16.
Tao, Zhihua, Mo Shen, Yanbo Zheng, et al.. (2010). PCA3 gene expression in prostate cancer tissue in a Chinese population: Quantification by real-time FQ-RT-PCR based on exon 3 of PCA3. Experimental and Molecular Pathology. 89(1). 58–62. 15 indexed citations
17.
Han, Shaoliang, et al.. (2010). The impact of expressions of CD97 and its ligand CD55 at the invasion front on prognosis of rectal adenocarcinoma. International Journal of Colorectal Disease. 25(6). 695–702. 33 indexed citations
18.
Shen, Mo, Wei Chen, Zhanguo Chen, et al.. (2010). The diagnostic value of PCA3 gene-based analysis of urine sediments after digital rectal examination for prostate cancer in a Chinese population. Experimental and Molecular Pathology. 90(1). 97–100. 25 indexed citations
19.
Han, Shaoliang, et al.. (2009). FOXP1 Expression Predicts Polymorphic Histology and Poor Prognosis in Gastric Mucosa-Associated Lymphoid Tissue Lymphomas. Digestive Surgery. 26(2). 156–162. 23 indexed citations
20.
Wu, Xiuling, Kate Huang, Wei Chen, et al.. (2009). [Relationship of neuroendocrine differentiation to biological behavior of prostate cancer].. PubMed. 89(7). 472–5. 1 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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