Zhen‐Zhou Shen

3.8k total citations
54 papers, 2.9k citations indexed

About

Zhen‐Zhou Shen is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Zhen‐Zhou Shen has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cancer Research, 26 papers in Oncology and 19 papers in Molecular Biology. Recurrent topics in Zhen‐Zhou Shen's work include Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (10 papers) and BRCA gene mutations in cancer (7 papers). Zhen‐Zhou Shen is often cited by papers focused on Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (10 papers) and BRCA gene mutations in cancer (7 papers). Zhen‐Zhou Shen collaborates with scholars based in China, United States and United Kingdom. Zhen‐Zhou Shen's co-authors include Jiong Wu, Zhi‐Ming Shao, Gen‐Hong Di, Jin-Song Lu, Zhou-Luo Ou, Ke‐Da Yu, Zhi-Ming Shao, Yi‐Feng Hou, Guang‐Yu Liu and Zhi-Min Shao and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Oncogene and Clinical Cancer Research.

In The Last Decade

Zhen‐Zhou Shen

54 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhen‐Zhou Shen China 31 1.5k 1.2k 1.1k 500 388 54 2.9k
Gen‐Hong Di China 34 1.6k 1.1× 1.6k 1.3× 1.6k 1.5× 500 1.0× 515 1.3× 121 3.6k
Junichi Kurebayashi Japan 37 1.9k 1.3× 1.8k 1.4× 999 0.9× 734 1.5× 273 0.7× 157 3.8k
Anne Hansen Ree Norway 30 1.3k 0.9× 1.2k 1.0× 661 0.6× 290 0.6× 251 0.6× 139 3.2k
Michael Krainer Austria 33 1.5k 1.0× 1.4k 1.2× 692 0.6× 579 1.2× 329 0.8× 106 3.5k
Toshiaki Saeki Japan 32 1.7k 1.2× 1.2k 0.9× 600 0.5× 325 0.7× 254 0.7× 170 3.1k
Hitoshi Zembutsu Japan 33 1.5k 1.0× 1.5k 1.2× 834 0.8× 830 1.7× 355 0.9× 76 3.8k
Hiroyoshi Doihara Japan 29 1.4k 1.0× 1.4k 1.1× 710 0.7× 332 0.7× 295 0.8× 161 3.1k
Thaer Khoury United States 32 1.5k 1.1× 1.1k 0.9× 1.1k 1.0× 266 0.5× 675 1.7× 153 3.1k
Serenella Eppenberger‐Castori Switzerland 29 1.4k 0.9× 1.3k 1.1× 864 0.8× 350 0.7× 147 0.4× 75 2.7k
Arja Jukkola‐Vuorinen Finland 25 1.0k 0.7× 898 0.7× 800 0.7× 268 0.5× 211 0.5× 51 2.2k

Countries citing papers authored by Zhen‐Zhou Shen

Since Specialization
Citations

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

Fields of papers citing papers by Zhen‐Zhou Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen‐Zhou Shen. 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 Zhen‐Zhou Shen. The network helps show where Zhen‐Zhou Shen may publish in the future.

Co-authorship network of co-authors of Zhen‐Zhou Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen‐Zhou Shen. A scholar is included among the top collaborators of Zhen‐Zhou Shen 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 Zhen‐Zhou Shen. Zhen‐Zhou Shen 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.
Alimujiang, Aliya, Miao Mo, Ying Liu, et al.. (2016). The association between China’s Great famine and risk of breast cancer according to hormone receptor status: a hospital-based study. Breast Cancer Research and Treatment. 160(2). 361–369. 6 indexed citations
2.
Mo, Miao, Xiaoqing Jia, Zhi-Min Shao, et al.. (2015). Serum Tumor Marker Levels might have Little Significance in Evaluating Neoadjuvant Treatment Response in Locally Advanced Breast Cancer. Asian Pacific Journal of Cancer Prevention. 16(11). 4603–4608. 9 indexed citations
3.
Kuang, Xia-Ying, Jian-Min Luo, Yi‐Feng Hou, et al.. (2013). MicroRNA-200a Promotes Anoikis Resistance and Metastasis by Targeting YAP1 in Human Breast Cancer. Clinical Cancer Research. 19(6). 1389–1399. 132 indexed citations
4.
Yu, Ke‐Da, Guang‐Yu Liu, Xiao-Yan Zhou, et al.. (2012). Association of HER-2 Copy Number and HER-2/CEP-17 Ratio with Neoadjuvant Taxane-Containing Chemotherapy Sensitivity in Locally Advanced Breast Cancer. The Oncologist. 17(6). 792–800. 7 indexed citations
5.
Li, Jun-Jie, Gen‐Hong Di, Ke‐Da Yu, et al.. (2011). Adjuvant Therapy of Breast Cancer with Pirarubicin Versus Epirubicin in Combination with Cyclophosphamide and 5-fluorouracil. The Breast Journal. 17(6). 657–660. 7 indexed citations
6.
Yu, Ke‐Da, Guang‐Yu Liu, Jiong Wu, et al.. (2010). Different Distribution of Breast Cancer Subtypes in Breast Ductal Carcinoma in situ (DCIS), DCIS with Microinvasion, and DCIS with Invasion Component. Annals of Surgical Oncology. 18(5). 1342–1348. 61 indexed citations
7.
Ou, Zhou-Luo, et al.. (2009). Involvement of a Novel Chemokine Decoy Receptor CCX-CKR in Breast Cancer Growth, Metastasis and Patient Survival. Clinical Cancer Research. 15(9). 2962–2970. 76 indexed citations
8.
Fan, Lei, Ying Zheng, Ke‐Da Yu, et al.. (2009). Breast cancer in a transitional society over 18 years: trends and present status in Shanghai, China. Breast Cancer Research and Treatment. 117(2). 409–416. 151 indexed citations
9.
Ling, Hong, Guang‐Yu Liu, Jin-Song Lu, et al.. (2009). Fiberoptic Ductoscopy-Guided Intraductal Biopsy Improve the Diagnosis of Nipple Discharge. The Breast Journal. 15(2). 168–175. 15 indexed citations
10.
11.
Hu, Zhen, Wenfeng Li, Juan Huang, et al.. (2008). Models for predicting BRCA1 and BRCA2 mutations in Han Chinese familial breast and/or ovarian cancer patients. Breast Cancer Research and Treatment. 113(3). 467–477. 9 indexed citations
12.
Zhao, Ying, et al.. (2008). Integrated gene expression profile predicts prognosis of breast cancer patients. Breast Cancer Research and Treatment. 113(2). 231–237. 15 indexed citations
13.
Jiang, Fan, Wenjin Yin, Jin-Song Lu, et al.. (2008). ERα negative breast cancer cells restore response to endocrine therapy by combination treatment with both HDAC inhibitor and DNMT inhibitor. Journal of Cancer Research and Clinical Oncology. 134(8). 883–890. 106 indexed citations
14.
Hu, Zhen, Wenfeng Li, Bin Zhang, et al.. (2008). Evaluating the performance of models for predicting the BRCA germline mutations in Han Chinese familial breast cancer patients. Breast Cancer Research and Treatment. 116(3). 563–570. 16 indexed citations
15.
Yu, Ke‐Da, Gen‐Hong Di, Jiong Wu, et al.. (2007). Development and Trends of Surgical Modalities for Breast Cancer in China: A Review of 16-Year Data. Annals of Surgical Oncology. 14(9). 2502–2509. 64 indexed citations
16.
Di, Gen‐Hong, Ke‐Da Yu, Jiong Wu, et al.. (2006). Immediate breast reconstruction with latissimus dorsi musculocutaneous flap: A suitable option for chinese women after mastectomy. Chinese Journal of Cancer Research. 18(2). 88–93. 2 indexed citations
17.
Hou, Yi‐Feng, Jiong Wu, Jin-Song Lu, et al.. (2006). Dominant-negative E-cadherin inhibits the invasiveness of inflammatory breast cancer cells in vitro. Journal of Cancer Research and Clinical Oncology. 133(2). 83–92. 30 indexed citations
18.
Jiang, Fan, Lei Wang, Jiong Wu, et al.. (2006). Breast conservative therapy in east part of China: a retrospective cohort study. Journal of Cancer Research and Clinical Oncology. 132(9). 573–578. 10 indexed citations
19.
Hu, Zhen, et al.. (2003). The analysis ofBRCA1 mutations in eastern Chinese patients with early onset breast cancer and affected relatives. Human Mutation. 22(1). 104–104. 22 indexed citations
20.
Wu, Jiong, Zhi‐Ming Shao, Zhen‐Zhou Shen, et al.. (2000). Significance of Apoptosis and Apoptotic-Related Proteins, Bcl-2, and Bax in Primary Breast Cancer. The Breast Journal. 6(1). 44–52. 19 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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