Songjie Shen

1.9k total citations
87 papers, 1.2k citations indexed

About

Songjie Shen is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Songjie Shen has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cancer Research, 49 papers in Oncology and 26 papers in Pathology and Forensic Medicine. Recurrent topics in Songjie Shen's work include Breast Cancer Treatment Studies (38 papers), Breast Lesions and Carcinomas (23 papers) and HER2/EGFR in Cancer Research (12 papers). Songjie Shen is often cited by papers focused on Breast Cancer Treatment Studies (38 papers), Breast Lesions and Carcinomas (23 papers) and HER2/EGFR in Cancer Research (12 papers). Songjie Shen collaborates with scholars based in China, United States and Taiwan. Songjie Shen's co-authors include Yidong Zhou, Feng Mao, Jinghong Guan, Qiang Sun, Xiaohui Zhang, Xinyu Ren, Feng Mao, Yali Xu, Zhiyong Liang and Yan Lin and has published in prestigious journals such as The Lancet, PLoS ONE and Scientific Reports.

In The Last Decade

Songjie Shen

81 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songjie Shen China 22 582 506 419 255 162 87 1.2k
Yidong Zhou China 23 681 1.2× 670 1.3× 367 0.9× 322 1.3× 257 1.6× 93 1.4k
Victoria Sopik Canada 21 825 1.4× 719 1.4× 371 0.9× 425 1.7× 199 1.2× 37 1.6k
Mayada R. Bani Germany 21 816 1.4× 597 1.2× 324 0.8× 315 1.2× 215 1.3× 42 1.6k
Javaid Iqbal Canada 15 782 1.3× 1.1k 2.1× 286 0.7× 381 1.5× 206 1.3× 23 1.8k
Michael Schrauder Germany 24 982 1.7× 745 1.5× 846 2.0× 276 1.1× 254 1.6× 62 2.1k
Dong‐Young Noh South Korea 27 791 1.4× 788 1.6× 342 0.8× 585 2.3× 211 1.3× 52 1.8k
Davide Disalvatore Italy 19 601 1.0× 684 1.4× 266 0.6× 262 1.0× 240 1.5× 29 1.3k
Tadahiko Shien Japan 24 767 1.3× 964 1.9× 482 1.2× 304 1.2× 468 2.9× 164 1.8k
Ninah Achacoso United States 19 331 0.6× 456 0.9× 245 0.6× 122 0.5× 158 1.0× 49 808
Konstantinos Tryfonidis Belgium 20 771 1.3× 1.1k 2.2× 326 0.8× 233 0.9× 406 2.5× 53 1.7k

Countries citing papers authored by Songjie Shen

Since Specialization
Citations

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

Fields of papers citing papers by Songjie Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songjie Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Songjie Shen. A scholar is included among the top collaborators of Songjie 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 Songjie Shen. Songjie 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.
Cai, Yefeng, Yawen Guo, Pu Cheng, et al.. (2025). A new broom sweeps clean: CLDN16 surpasses the BRAF-V600E mutation as an unrivaled biomarker in papillary thyroid cancer. European Journal of Endocrinology. 192(2). 128–140.
2.
Liu, Bowen, et al.. (2025). Lipid Metabolism in Breast Cancer: From Basic Research to Clinical Application. Cancers. 17(4). 650–650. 5 indexed citations
3.
Xu, Ying, Songjie Shen, Feng Mao, et al.. (2025). A multi-centre, randomised trial for diagnostic efficacy of the automatic breast volume scanner ultrasound for breast cancer screening in China. Frontiers in Oncology. 14. 1421425–1421425. 1 indexed citations
4.
Xie, Chaowu, et al.. (2024). Why recommend? Unlocking the factors and configurations influencing word-of-mouth intentions in continuing care retirement communities. International Journal of Hospitality Management. 125. 104012–104012. 2 indexed citations
5.
Shen, Songjie, et al.. (2024). Lipid changes during endocrine therapy in early-stage breast cancer patients: A real-world study. Lipids in Health and Disease. 23(1). 9–9. 5 indexed citations
6.
Cao, Xi, Yixin Luo, Songjie Shen, & Xinyu Ren. (2024). Primary mucinous cystadenocarcinoma of the breast: A case report and literature review. Oncology Letters. 29(1). 60–60.
8.
Shen, Songjie & Chang‐Mei Liu. (2023). Chemotherapy for early-stage breast cancer: the more the better?. The Lancet. 401(10384). 1243–1245. 15 indexed citations
10.
11.
Wang, Changjun, Chang Chen, Yan Lin, et al.. (2020). Validation of CTS5 model in large-scale breast cancer population and the impact of menopausal and HER2 status on its prognostic value. Scientific Reports. 10(1). 4660–4660. 12 indexed citations
12.
Li, Yan, Shan Ye, Yidong Zhou, et al.. (2020). Web-Based Medical Information Searching by Chinese Patients With Breast Cancer and its Influence on Survival: Observational Study. Journal of Medical Internet Research. 22(4). e16768–e16768. 22 indexed citations
14.
Xu, Ying, Bo Pan, Yidong Zhou, et al.. (2018). Mammography-detected ultrasound-negative asymptomatic micro-calcifications in Chinese women: Would it be safe to watch and wait?. Medical Hypotheses. 118. 9–12. 1 indexed citations
15.
Wang, Changjun, Yidong Zhou, Hanjiang Zhu, et al.. (2018). Would 1.0 cm be a more suitable cutoff to subdivide pT1 tumors in hormone receptor‐negative and HER2‐positive breast cancer?. Cancer Medicine. 7(11). 5420–5430. 1 indexed citations
16.
Pan, Bo, Ru Yao, Jie Shi, et al.. (2016). Prognosis of subtypes of the mucinous breast carcinoma in Chinese women: a population-based study of 32-year experience (1983-2014). Oncotarget. 7(25). 38864–38875. 21 indexed citations
17.
Xu, Qianqian, Bo Pan, Changjun Wang, et al.. (2016). HER2 amplification level is not a prognostic factor for HER2-positive breast cancer with trastuzumab-based adjuvant treatment: a systematic review and meta-analysis. Oncotarget. 7(39). 63571–63582. 14 indexed citations
19.
Zhong, Ying, Songjie Shen, Yidong Zhou, et al.. (2014). ALDH1 is a better clinical indicator for relapse of invasive ductal breast cancer than the CD44+/CD24− phenotype. Medical Oncology. 31(3). 864–864. 41 indexed citations
20.
Shen, Songjie, Qiang Sun, Yidong Zhou, et al.. (2012). [Comparative analysis of early diagnostic tools for breast cancer].. PubMed. 34(11). 877–80. 7 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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