Shang Su

623 total citations
10 papers, 380 citations indexed

About

Shang Su is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shang Su has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shang Su's work include Cancer Cells and Metastasis (3 papers), Bone health and treatments (2 papers) and Cancer-related Molecular Pathways (2 papers). Shang Su is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Bone health and treatments (2 papers) and Cancer-related Molecular Pathways (2 papers). Shang Su collaborates with scholars based in China and United States. Shang Su's co-authors include Yu Rao, Qiuye Zhao, Tianlong Lan, Wei Wu, Haiteng Deng, Songbiao Zhu, Zimo Yang, Qing Li, Sarat Chandarlapaty and Hongying Gao and has published in prestigious journals such as Chemical Communications, Journal of Cell Science and Journal of Medicinal Chemistry.

In The Last Decade

Shang Su

9 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang Su China 7 298 178 86 43 21 10 380
Zhiyao Zhang China 11 163 0.5× 67 0.4× 129 1.5× 16 0.4× 46 2.2× 43 315
Priya Choudhry United States 8 150 0.5× 110 0.6× 57 0.7× 7 0.2× 8 0.4× 16 334
M. Rowley United Kingdom 11 92 0.3× 69 0.4× 60 0.7× 29 0.7× 23 1.1× 17 301
Jennifer V. Grobelny United States 7 277 0.9× 123 0.7× 15 0.2× 61 1.4× 16 0.8× 10 402
Prudence Lam United States 5 117 0.4× 128 0.7× 20 0.2× 65 1.5× 39 1.9× 14 226
Vanessa D. Jönsson United States 8 188 0.6× 104 0.6× 43 0.5× 29 0.7× 129 6.1× 16 359
Wenbao Yu United States 10 297 1.0× 119 0.7× 57 0.7× 23 0.5× 51 2.4× 25 492
Andrew A. Guirguis Australia 8 259 0.9× 207 1.2× 99 1.2× 6 0.1× 51 2.4× 12 410
Nicole Kreuzberg Germany 6 175 0.6× 149 0.8× 9 0.1× 28 0.7× 39 1.9× 12 291
Stanley G. Leung United States 9 298 1.0× 124 0.7× 13 0.2× 39 0.9× 64 3.0× 25 430

Countries citing papers authored by Shang Su

Since Specialization
Citations

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

Fields of papers citing papers by Shang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Shang Su. A scholar is included among the top collaborators of Shang Su 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 Shang Su. Shang Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Su, Shang, et al.. (2024). Unveiling cancer dormancy: Intrinsic mechanisms and extrinsic forces. Cancer Letters. 591. 216899–216899. 15 indexed citations
2.
Su, Shang, et al.. (2023). Parathyroid Hormone-Related Protein/Parathyroid Hormone Receptor 1 Signaling in Cancer and Metastasis. Cancers. 15(7). 1982–1982. 5 indexed citations
3.
Su, Shang, Jing Xing, Ke Liu, et al.. (2023). Tumor removal limits prostate cancer cell dissemination in bone and osteoblasts induce cancer cell dormancy through focal adhesion kinase. Journal of Experimental & Clinical Cancer Research. 42(1). 264–264. 14 indexed citations
4.
Su, Shang & Xiaohong Li. (2021). Dive into Single, Seek Out Multiple: Probing Cancer Metastases via Single-Cell Sequencing and Imaging Techniques. Cancers. 13(5). 1067–1067. 6 indexed citations
5.
Su, Shang, Xiangqi Meng, Ruihua Liu, et al.. (2021). Enzalutamide-induced and PTH1R-mediated TGFBR2 degradation in osteoblasts confers resistance in prostate cancer bone metastases. Cancer Letters. 525. 170–178. 11 indexed citations
6.
Wei, Yi, Shang Su, Jiwen Lu, & Jie Zhou. (2021). FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection. 4348–4354. 17 indexed citations
7.
Su, Shang, Zimo Yang, Hongying Gao, et al.. (2019). Potent and Preferential Degradation of CDK6 via Proteolysis Targeting Chimera Degraders. Journal of Medicinal Chemistry. 62(16). 7575–7582. 152 indexed citations
8.
Zhao, Qiuye, Tianlong Lan, Shang Su, & Yu Rao. (2018). Induction of apoptosis in MDA-MB-231 breast cancer cells by a PARP1-targeting PROTAC small molecule. Chemical Communications. 55(3). 369–372. 138 indexed citations
9.
Su, Shang, Weixin Tang, Shengyao Chen, et al.. (2014). The S-G2 phase enriched β-catenin/TCF complex ensures cell survival and cell cycle progression. Journal of Cell Science. 127(Pt 22). 4833–45. 21 indexed citations
10.
Su, Shang & Wei Wu. (2014). Regulation of target gene transcription by Wnt/β-catenin signaling. Scientia Sinica Vitae. 44(10). 1029–1042. 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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