Shuyang Sun

2.8k total citations
46 papers, 1.6k citations indexed

About

Shuyang Sun is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Shuyang Sun has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 21 papers in Oncology and 10 papers in Biomedical Engineering. Recurrent topics in Shuyang Sun's work include Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (7 papers) and Cancer Cells and Metastasis (6 papers). Shuyang Sun is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (7 papers) and Cancer Cells and Metastasis (6 papers). Shuyang Sun collaborates with scholars based in China, United States and Australia. Shuyang Sun's co-authors include Zuolin Wang, Zhiyuan Zhang, Yilong Wang, Donglu Shi, Guizhu Yang, Zhiyuan Zhang, Chaoji Shi, Rong Zhou, Zengxian Sun and Jiamin Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Shuyang Sun

44 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuyang Sun China 25 884 502 354 319 232 46 1.6k
Serena Marchiò Italy 25 990 1.1× 494 1.0× 273 0.8× 245 0.8× 166 0.7× 45 1.9k
Maonan Wang China 14 663 0.8× 483 1.0× 394 1.1× 314 1.0× 162 0.7× 35 1.5k
Yuliang Ran China 23 689 0.8× 345 0.7× 348 1.0× 225 0.7× 143 0.6× 55 1.5k
Madeleine M. Handsley United Kingdom 8 772 0.9× 591 1.2× 525 1.5× 248 0.8× 223 1.0× 9 1.8k
Yan Ma United States 25 771 0.9× 353 0.7× 422 1.2× 283 0.9× 389 1.7× 67 1.6k
Xiaomeng Dai China 24 826 0.9× 644 1.3× 504 1.4× 433 1.4× 389 1.7× 54 1.9k
Wiktoria Maria Suchorska Poland 23 829 0.9× 386 0.8× 478 1.4× 205 0.6× 243 1.0× 112 1.8k
Sérgia Velho Portugal 21 830 0.9× 811 1.6× 307 0.9× 212 0.7× 363 1.6× 36 1.8k
Eric A. Murphy United States 11 1.2k 1.4× 344 0.7× 523 1.5× 267 0.8× 173 0.7× 20 1.9k
Kevin J. Metcalf United States 11 680 0.8× 610 1.2× 315 0.9× 378 1.2× 156 0.7× 16 1.7k

Countries citing papers authored by Shuyang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shuyang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyang Sun. A scholar is included among the top collaborators of Shuyang Sun 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 Shuyang Sun. Shuyang Sun 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.
Hou, Jun, Kun Du, Jinling Li, et al.. (2025). Research trends in the use of nanobodies for cancer therapy. Journal of Controlled Release. 381. 113454–113454.
2.
Xu, Youwei, Jie Zhang, Xinheng He, et al.. (2024). Selective ligand recognition and activation of somatostatin receptors SSTR1 and SSTR3. Proceedings of the National Academy of Sciences. 121(41). e2400298121–e2400298121. 1 indexed citations
3.
4.
Yang, Zechuan, Guoyong Yin, Shuyang Sun, & Ping Xu. (2024). Medical applications and prospects of polylactic acid materials. iScience. 27(12). 111512–111512. 34 indexed citations
5.
Liu, Yushen, et al.. (2024). Rapid and sensitive detection of sodium benzoate using Carbon quantum dots as a fluorescent probe. Journal of Food Composition and Analysis. 132. 106289–106289. 4 indexed citations
6.
Dou, Shengjin, Lin Zhang, Rongrong Li, et al.. (2023). Adjuvant PD-1 antibody in recurrent, previously irradiated oral cavity cancer treated with salvage surgery. Clinical and Translational Radiation Oncology. 40. 100623–100623. 1 indexed citations
7.
Wu, Yaping, Xiaowei Chang, Guizhu Yang, et al.. (2023). A Physiologically Responsive Nanocomposite Hydrogel for Treatment of Head and Neck Squamous Cell Carcinoma via Proteolysis‐Targeting Chimeras Enhanced Immunotherapy. Advanced Materials. 35(12). e2210787–e2210787. 81 indexed citations
8.
Sun, Lulu, Houyu Ju, Chong Wang, et al.. (2023). A human mucosal melanoma organoid platform for modeling tumor heterogeneity and exploring immunotherapy combination options. Science Advances. 9(43). eadg6686–eadg6686. 24 indexed citations
9.
Sun, Shuyang, Bruce D. Hammock, Zhi Ping Xu, et al.. (2023). A dendritic/tumor fusion cell vaccine enhances efficacy of nanobody-based CAR-T cells against solid tumor. Theranostics. 13(14). 5099–5113. 16 indexed citations
10.
Zhang, Yu, Chengzhong Lin, Zheqi Liu, et al.. (2022). Cancer cells co-opt nociceptive nerves to thrive in nutrient-poor environments and upon nutrient-starvation therapies. Cell Metabolism. 34(12). 1999–2017.e10. 75 indexed citations
11.
Jin, Jinmei, Yaping Wu, Ye Wu, et al.. (2022). Small-molecule PROTAC mediates targeted protein degradation to treat STAT3-dependent epithelial cancer. JCI Insight. 7(22). 41 indexed citations
12.
Li, Haixia, Wei Shi, Shenxia Xie, et al.. (2022). Nanobody-based CAR T cells targeting intracellular tumor antigens. Biomedicine & Pharmacotherapy. 156. 113919–113919. 16 indexed citations
13.
Sun, Shuyang, Xiaomei Yang, Qu Chen, et al.. (2021). Nanobody: A Small Antibody with Big Implications for Tumor Therapeutic Strategy. International Journal of Nanomedicine. Volume 16. 2337–2356. 86 indexed citations
14.
Zhang, Biyu, Chen Tang, Yanli Yao, et al.. (2021). The tumor therapy landscape of synthetic lethality. Nature Communications. 12(1). 1275–1275. 46 indexed citations
15.
Zhou, Rong, Chaoji Shi, Jiang Li, et al.. (2019). Analysis of Mucosal Melanoma Whole-Genome Landscapes Reveals Clinically Relevant Genomic Aberrations. Clinical Cancer Research. 25(12). 3548–3560. 64 indexed citations
16.
Hu, Yudong, Kaikai Yu, Gang Wang, et al.. (2018). Lanatoside C inhibits cell proliferation and induces apoptosis through attenuating Wnt/β-catenin/c-Myc signaling pathway in human gastric cancer cell. Biochemical Pharmacology. 150. 280–292. 66 indexed citations
17.
Zhang, Wuchang, Lin‐Juan Du, Xiaojun Zheng, et al.. (2017). Elevated sodium chloride drives type I interferon signaling in macrophages and increases antiviral resistance. Journal of Biological Chemistry. 293(3). 1030–1039. 24 indexed citations
18.
19.
Sun, Shuyang, Suling Liu, Sheng Zhong Duan, et al.. (2014). Targeting the c-Met/FZD8 Signaling Axis Eliminates Patient-Derived Cancer Stem–like Cells in Head and Neck Squamous Carcinomas. Cancer Research. 74(24). 7546–7559. 83 indexed citations
20.
Sun, Shuyang & Zuolin Wang. (2010). ALDHhigh adenoid cystic carcinoma cells display cancer stem cell properties and are responsible for mediating metastasis. Biochemical and Biophysical Research Communications. 396(4). 843–848. 58 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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