Yang Yu

5.3k total citations
159 papers, 3.2k citations indexed

About

Yang Yu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yang Yu has authored 159 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 37 papers in Cancer Research and 31 papers in Oncology. Recurrent topics in Yang Yu's work include Breast Cancer Treatment Studies (12 papers), Ubiquitin and proteasome pathways (7 papers) and RNA modifications and cancer (7 papers). Yang Yu is often cited by papers focused on Breast Cancer Treatment Studies (12 papers), Ubiquitin and proteasome pathways (7 papers) and RNA modifications and cancer (7 papers). Yang Yu collaborates with scholars based in China, United States and Taiwan. Yang Yu's co-authors include B. LaBombard, G. Counsell, G. Antar, P. Devynck, Jianhua Yang, Xiangyun Zong, Yihui Fan, Ping‐Fang Chiu, Zhaoxing Li and Xiaoli Ye and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Yang Yu

148 papers receiving 3.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yang Yu	1.6k	711	544	408	271	159	3.2k
Haiyan Zhang	1.9k 1.2×	832 1.2×	518 1.0×	573 1.4×	255 0.9×	158	3.7k
Yi Yao	1.6k 1.0×	283 0.4×	665 1.2×	394 1.0×	198 0.7×	179	3.1k
Manabu Kawada	1.5k 1.0×	409 0.6×	891 1.6×	380 0.9×	308 1.1×	207	3.2k
Alan T. Remaley	1.1k 0.7×	379 0.5×	402 0.7×	512 1.3×	193 0.7×	117	3.6k
Junmin Li	1.9k 1.2×	384 0.5×	662 1.2×	374 0.9×	133 0.5×	189	3.5k
Michael Montalto	638 0.4×	551 0.8×	501 0.9×	491 1.2×	200 0.7×	95	2.9k
Qing Chang	1.3k 0.8×	340 0.5×	337 0.6×	418 1.0×	215 0.8×	128	3.4k
Yue Liu	2.2k 1.3×	984 1.4×	715 1.3×	644 1.6×	800 3.0×	227	4.3k
Hong Zhang	858 0.5×	380 0.5×	591 1.1×	197 0.5×	724 2.7×	214	2.9k
Xun� Li	1.5k 0.9×	523 0.7×	861 1.6×	426 1.0×	1.0k 3.7×	187	4.5k

Countries citing papers authored by Yang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Yu

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

All Works

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20 of 20 papers shown

Larocque, Hugo, Samuel Gyger, Marco Colangelo, et al.. (2025). Single-Photon Detectors on Arbitrary Photonic Substrates. ACS Photonics. 12(5). 2325–2330.

Tang, Zhongjie, Miaomiao Niu, Weiwei Xue, et al.. (2025). Allosteric targeted drug delivery for enhanced blood-brain barrier penetration via mimicking transmembrane domain interactions. Nature Communications. 16(1). 3410–3410. 6 indexed citations

Qian, Yiyu, et al.. (2025). Jingui Shenqi Wan alleviates bone loss induced by primary osteoporosis by inhibiting osteoblast pyroptosis. Journal of Orthopaedic Surgery and Research. 20(1). 141–141. 2 indexed citations

Song, Lingling, et al.. (2024). Giant tunnel magnetoresistance in in-plane magnetic tunnel junctions based on the heterointerface-induced half-metallic 2H-VS2. Computational Materials Science. 245. 113290–113290. 2 indexed citations

Yu, Yang, et al.. (2024). Roles of Probiotics, Prebiotics, and Postbiotics in B-Cell-Mediated Immune Regulation. Journal of Nutrition. 155(1). 37–51. 8 indexed citations

Zhang, Yu, Lingyu Du, Bin Wu, et al.. (2024). Deciphering Cholesterol's Role in PD-L2 Stability: A Distinct Regulatory Mechanism From PD-L1. Journal of Molecular Biology. 436(8). 168500–168500. 1 indexed citations

Ding, Jingjing, et al.. (2023). Psychometric evaluation of the student nurse stressor-14 scale for undergraduate nursing interns. BMC Nursing. 22(1). 468–468. 6 indexed citations

Li, Chenglong, et al.. (2023). Numerical Simulation of Natural-Gas-Hydrate Decomposition in Process of Heat-Injection Production. Processes. 11(8). 2349–2349. 2 indexed citations

Errando-Herranz, Carlos, Samuel Gyger, Marco Colangelo, et al.. (2023). Transfer-Printed Single-Photon Detectors on Arbitrary Photonic Substrates. 3. FM2E.5–FM2E.5.

10.

Deng, Yalan, Xianghou Xia, Yang Zhao, et al.. (2021). Glucocorticoid receptor regulates PD-L1 and MHC-I in pancreatic cancer cells to promote immune evasion and immunotherapy resistance. Nature Communications. 12(1). 7041–7041. 84 indexed citations

11.

Zhu, Meizhen, et al.. (2021). The Guiding Significance of the Number of Positive Sentinel Lymph Nodes in Frozen Section for Intraoperative Axillary Dissection in Early Breast Cancer. Cancer Management and Research. Volume 13. 4803–4810. 3 indexed citations

12.

Oda, Tatsuya, Osamu Shimomura, Tsuyoshi Enomoto, et al.. (2020). Novel Pancreatic Cancer Therapy Targeting Cell Surface Glycans by Liposomes Modified with rBC2LCN Lectin. European Surgical Research. 61(4-5). 113–122. 4 indexed citations

13.

Cheng, Jin, Sijia He, Min Wang, et al.. (2019). The Caspase-3/PKCδ/Akt/VEGF-A Signaling Pathway Mediates Tumor Repopulation during Radiotherapy. Clinical Cancer Research. 25(12). 3732–3743. 38 indexed citations

14.

Yu, Yang, Yanling Zhao, Yihui Fan, et al.. (2019). Inhibition of Ubiquitin-Specific Protease 14 Suppresses Cell Proliferation and Synergizes with Chemotherapeutic Agents in Neuroblastoma. Molecular Cancer Therapeutics. 18(6). 1045–1056. 13 indexed citations

15.

Qiao, Enqi, Xingfei Yu, Lingyan Zhou, et al.. (2019). A Prospective Validation Cohort Study of a Prediction Model on Non-sentinel Lymph Node Involvement in Early Breast Cancer. Annals of Surgical Oncology. 27(5). 1653–1658. 5 indexed citations

16.

Ma, Hang, Yang Yu, Meimei Wang, et al.. (2018). Correlation between microbes and colorectal cancer: tumor apoptosis is induced by sitosterols through promoting gut microbiota to produce short-chain fatty acids. APOPTOSIS. 24(1-2). 168–183. 47 indexed citations

17.

Han, Bing, Pu Jiang, Zhaoxing Li, et al.. (2017). Coptisine-induced apoptosis in human colon cancer cells (HCT-116) is mediated by PI3K/Akt and mitochondrial-associated apoptotic pathway. Phytomedicine. 48. 152–160. 82 indexed citations

18.

Yu, Yang, et al.. (2017). Value of diffusion-weighted MRI in assessment of surgical margin of cervical cancer after loop electrosurgical excision procedure. European Journal of Gynaecological Oncology. 38(4). 555–559. 1 indexed citations

19.

Zheng, Yabing, et al.. (2016). Inhibitor Response to HER2 G776^YVMAIn-frame Insertion in HER2-positive Breast Cancer. Cancer Investigation. 34(3). 123–129. 1 indexed citations

20.

Yu, Yang, et al.. (2013). Predictive Factors Determining Neoadjuvant Chemotherapy Outcomes in Breast Cancer - a Single Center Experience. Asian Pacific Journal of Cancer Prevention. 14(4). 2401–2406. 2 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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