Ruohong Shui

678 total citations
32 papers, 432 citations indexed

About

Ruohong Shui is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Ruohong Shui has authored 32 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 19 papers in Cancer Research and 18 papers in Pathology and Forensic Medicine. Recurrent topics in Ruohong Shui's work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (14 papers) and HER2/EGFR in Cancer Research (10 papers). Ruohong Shui is often cited by papers focused on Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (14 papers) and HER2/EGFR in Cancer Research (10 papers). Ruohong Shui collaborates with scholars based in China and United States. Ruohong Shui's co-authors include Wentao Yang, Baohua Yu, Rui Bi, Fei Yang, Xiaoyu Tu, Hongfen Lu, Yufan Cheng, Xiuying Xiao, Daren Shi and Dali Li and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Ruohong Shui

29 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruohong Shui China 13 225 187 158 111 70 32 432
Ana Richelia Jara‐Lazaro Singapore 10 229 1.0× 219 1.2× 208 1.3× 124 1.1× 54 0.8× 16 536
A.H.S. Lee United Kingdom 7 292 1.3× 278 1.5× 196 1.2× 84 0.8× 55 0.8× 9 468
Andrew Hanby United Kingdom 9 310 1.4× 188 1.0× 278 1.8× 73 0.7× 82 1.2× 9 524
Valerie Cui Yun Koh Singapore 14 180 0.8× 162 0.9× 172 1.1× 107 1.0× 43 0.6× 27 416
Gloria Carter United States 9 265 1.2× 267 1.4× 132 0.8× 159 1.4× 31 0.4× 16 457
Timothy Kwang Yong Tay Singapore 11 155 0.7× 117 0.6× 154 1.0× 80 0.7× 25 0.4× 38 423
Beverley A. Carter United States 7 338 1.5× 349 1.9× 165 1.0× 173 1.6× 34 0.5× 10 555
Christiane Rakozy United States 7 181 0.8× 106 0.6× 158 1.0× 61 0.5× 28 0.4× 9 444
Maria Grazia Cattani Italy 10 166 0.7× 254 1.4× 82 0.5× 147 1.3× 28 0.4× 13 374
Conceição Leal Portugal 13 261 1.2× 242 1.3× 192 1.2× 137 1.2× 27 0.4× 22 506

Countries citing papers authored by Ruohong Shui

Since Specialization
Citations

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

Fields of papers citing papers by Ruohong Shui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruohong Shui

This figure shows the co-authorship network connecting the top 25 collaborators of Ruohong Shui. A scholar is included among the top collaborators of Ruohong Shui 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 Ruohong Shui. Ruohong Shui 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, Qiang, Baohua Yu, Rui Bi, et al.. (2025). Carcinoma arising in microglandular adenosis of the breast: clinicopathological and genetic analysis. Journal of Clinical Pathology. 79(1). 31–36.
2.
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.
Yu, Baohua, Rui Bi, Xiaoli Xu, et al.. (2024). TRPS1, a sensitive marker for different histological and molecular types of breast cancer. Diagnostic Pathology. 19(1). 121–121. 5 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.
Zhou, Shuling, Hong Lv, Xiaochun Wan, et al.. (2023). FOXC1 and SOX10 in Estrogen Receptor–Low Positive/HER2-Negative Breast Cancer: Potential Biomarkers for the Basal-like Phenotype Prediction. Archives of Pathology & Laboratory Medicine. 148(4). 461–470. 3 indexed citations
7.
Yu, Ke‐Da, et al.. (2021). Estrogen receptor‐low breast cancer: Biology chaos and treatment paradox. Cancer Communications. 41(10). 968–980. 37 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.
Yang, Wentao, et al.. (2021). Prognostic value of extranodal extension in axillary lymph node-positive breast cancer. Scientific Reports. 11(1). 9534–9534. 12 indexed citations
10.
Zhou, Shuling, Anqi Li, Hong Lv, et al.. (2021). High frequency ofPIK3CAandTERTpromoter mutations in fibromatosis-like spindle cell carcinomas. Journal of Clinical Pathology. 75(7). 477–482. 6 indexed citations
11.
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
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.
Tian, Tian, Ling Shan, Wentao Yang, Xiaoyan Zhou, & Ruohong Shui. (2018). Evaluation of the BRCAness phenotype and its correlations with clinicopathological features in triple-negative breast cancers. Human Pathology. 84. 231–238. 17 indexed citations
14.
Sun, Xin, Ke Zuo, Shenli Tang, et al.. (2017). [Correlation between androgen receptor expression and surrogate molecular subtypes in invasive breast carcinoma].. PubMed. 46(7). 476–480. 1 indexed citations
15.
Zhong, Fangfang, Rui Bi, Baohua Yu, et al.. (2016). A Comparison of Visual Assessment and Automated Digital Image Analysis of Ki67 Labeling Index in Breast Cancer. PLoS ONE. 11(2). e0150505–e0150505. 51 indexed citations
16.
Shui, Ruohong, Baohua Yu, Rui Bi, Fei Yang, & Wentao Yang. (2015). An Interobserver Reproducibility Analysis of Ki67 Visual Assessment in Breast Cancer. PLoS ONE. 10(5). e0125131–e0125131. 45 indexed citations
17.
Shui, Ruohong, Anqi Li, Fei Yang, et al.. (2014). Primary squamous cell carcinoma of the breast with unusual basal-HER2 phenotype.. PubMed. 7(8). 5203–9. 17 indexed citations
18.
Zhang, Li, Yong Yu, Ruohong Shui, et al.. (2014). Treatment with CA-074Me, a Cathepsin B inhibitor, reduces lung interstitial inflammation and fibrosis in a rat model of polymyositis. Laboratory Investigation. 95(1). 65–77. 20 indexed citations
19.
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
20.
Shui, Ruohong & Wentao Yang. (2009). Invasive Breast Carcinoma Arising in Microglandular Adenosis: A Case Report and Review of the Literature. The Breast Journal. 15(6). 653–656. 13 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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