Xiaoyu Tu

2.0k total citations · 1 hit paper
39 papers, 1.5k citations indexed

About

Xiaoyu Tu is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaoyu Tu has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 14 papers in Cancer Research and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaoyu Tu's work include Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (10 papers) and Breast Lesions and Carcinomas (9 papers). Xiaoyu Tu is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), HER2/EGFR in Cancer Research (10 papers) and Breast Lesions and Carcinomas (9 papers). Xiaoyu Tu collaborates with scholars based in China and United States. Xiaoyu Tu's co-authors include Ruth L. Katz, Luka Milas, Elizabeth H. Hammond, Karen K. Fu, K. Kian Ang, Brian Berkey, Wentao Yang, Rui Bi, Hongfen Lu and Ruohong Shui and has published in prestigious journals such as PLoS ONE, Cancer and Cancer Research.

In The Last Decade

Xiaoyu Tu

38 papers receiving 1.5k citations

Hit Papers

Impact of epidermal growth factor receptor expression on ... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyu Tu China 13 688 567 520 386 305 39 1.5k
Yungan Tao France 27 1.0k 1.5× 660 1.2× 586 1.1× 1.1k 2.8× 248 0.8× 112 2.3k
Madalina Tuluc United States 24 673 1.0× 270 0.5× 744 1.4× 292 0.8× 630 2.1× 95 1.8k
Koh‐ichi Sakata Japan 22 498 0.7× 321 0.6× 303 0.6× 255 0.7× 203 0.7× 85 1.4k
Theresa Scognamiglio United States 27 550 0.8× 213 0.4× 660 1.3× 100 0.3× 408 1.3× 108 2.4k
Christina MacMillan Canada 20 645 0.9× 138 0.2× 499 1.0× 183 0.5× 224 0.7× 53 1.5k
Luc Bron Switzerland 19 886 1.3× 268 0.5× 501 1.0× 357 0.9× 196 0.6× 30 1.7k
Rahul Ladwa Australia 16 986 1.4× 365 0.6× 525 1.0× 75 0.2× 241 0.8× 93 1.7k
Benedicte Parm Ulhøi Denmark 27 511 0.7× 445 0.8× 856 1.6× 183 0.5× 567 1.9× 66 2.1k
Cathy B. Moelans Netherlands 28 917 1.3× 386 0.7× 1.0k 1.9× 57 0.1× 719 2.4× 87 2.1k
Barbara Vischioni Italy 18 428 0.6× 440 0.8× 411 0.8× 117 0.3× 85 0.3× 77 1.1k

Countries citing papers authored by Xiaoyu Tu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Tu. A scholar is included among the top collaborators of Xiaoyu Tu 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 Xiaoyu Tu. Xiaoyu Tu 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
2.
Liang, Shufang, Maoyong Fu, Yehui Shi, et al.. (2025). Arsenic trioxide enhances the inhibitory effect of lenvatinib on hepatocellular carcinoma through HMOX1-mediated ferroptosis. International Immunopharmacology. 167. 115656–115656.
3.
Bai, Qianming, Ming Li, Shuling Zhou, et al.. (2024). Response to anti-HER2 neoadjuvant chemotherapy in HER2-positive invasive breast cancers with different HER2 FISH patterns. Journal of Clinical Pathology. 78(8). 540–547. 3 indexed citations
4.
Tu, Xiaoyu, et al.. (2023). Fabrication and Characterizations of Superhydrophobic Surface with Superior Corrosion Inhibition on Q345b Steel Substrate. Macromolecular Chemistry and Physics. 225(1). 2 indexed citations
5.
Yu, Baohua, Rui Bi, Xiaoli Xu, et al.. (2023). Conversion of ER and HER2 Status After Neoadjuvant Therapy in Chinese Breast Cancer Patients. Clinical Breast Cancer. 23(4). 436–446. 8 indexed citations
6.
Ye, Shuang, Qin Li, Yutuan Wu, et al.. (2022). Integrative genomic and transcriptomic analysis reveals immune subtypes and prognostic markers in ovarian clear cell carcinoma. British Journal of Cancer. 126(8). 1215–1223. 19 indexed citations
7.
Li, Hui, Xiaoyu Tu, Dan Huang, et al.. (2022). Clinicopathological and molecular characteristics of fumarate hydratase–deficient uterine smooth muscle tumors: a single-center study of 52 cases. Human Pathology. 126. 136–145. 12 indexed citations
8.
Xu, Xiaoli, Rui Bi, Ruohong Shui, et al.. (2021). Clinicopathological significance of WT1 expression in invasive breast carcinoma with >90% mucinous component. Journal of Clinical Pathology. 75(12). 832–836. 2 indexed citations
9.
Ge, Huijuan, Guangqi Qin, Yanzi Gu, et al.. (2021). Mismatch repair deficiency is associated with specific morphologic features and frequent loss of ARID1A expression in ovarian clear cell carcinoma. Diagnostic Pathology. 16(1). 12–12. 12 indexed citations
10.
Tu, Xiaoyu, Hongfen Lu, Ruohong Shui, et al.. (2019). [Invasive breast lobular carcinoma with extracellular mucin: a clinicopathological analysis].. PubMed. 48(10). 779–783. 1 indexed citations
11.
Bi, Rui, Qianming Bai, Xiaoli Zhu, et al.. (2019). ALK rearrangement: a high-frequency alteration in ovarian metastasis from lung adenocarcinoma. Diagnostic Pathology. 14(1). 96–96. 11 indexed citations
12.
Xu, Xiaoli, Rui Bi, Ruohong Shui, et al.. (2018). Micropapillary pattern in pure mucinous carcinoma of the breast – does it matter or not?. Histopathology. 74(2). 248–255. 15 indexed citations
13.
Xu, Yan, Rui Bi, Xiaoyu Tu, et al.. (2017). Low frequency of BRAF and KRAS mutations in Chinese patients with low-grade serous carcinoma of the ovary. Diagnostic Pathology. 12(1). 87–87. 9 indexed citations
14.
Li, Mengjiao, Haoran Li, Fei Liu, et al.. (2017). Characterization of ovarian clear cell carcinoma using target drug-based molecular biomarkers: implications for personalized cancer therapy. Journal of Ovarian Research. 10(1). 9–9. 41 indexed citations
15.
Zhu, Xiaoli, Yongming Lu, Hongfen Lu, et al.. (2011). Genetic alterations and protein expression of HER2 and chromosome 17 polysomy in breast cancer. Human Pathology. 42(10). 1499–1504. 11 indexed citations
16.
Li, Dali, Xiuying Xiao, Wentao Yang, et al.. (2011). Secretory breast carcinoma: a clinicopathological and immunophenotypic study of 15 cases with a review of the literature. Modern Pathology. 25(4). 567–575. 71 indexed citations
17.
Tu, Xiaoyu. (2007). Application and Development of Tonifying Spleen and Stomach and Harmonizing Yin-Yang with Moxibustion for Treatment of Ulcerative Colitis. Zhonghua zhongyiyao xuekan. 1 indexed citations
18.
19.
Chakravarti, Arnab, Wendy Seiferheld, Xiaoyu Tu, et al.. (2005). Immunohistochemically determined total epidermal growth factor receptor levels not of prognostic value in newly diagnosed glioblastoma multiforme: Report from the Radiation Therapy Oncology Group. International Journal of Radiation Oncology*Biology*Physics. 62(2). 318–327. 43 indexed citations
20.
Xu, Weiling, et al.. (2000). Histological grading in ductal carcinomain situ of the breast. Chinese Journal of Cancer Research. 12(3). 212–215. 2 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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