Jing Yu

2.9k total citations
82 papers, 1.7k citations indexed

About

Jing Yu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing Yu has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 23 papers in Cancer Research and 21 papers in Oncology. Recurrent topics in Jing Yu's work include Immunotherapy and Immune Responses (11 papers), Amino Acid Enzymes and Metabolism (9 papers) and Breast Cancer Treatment Studies (7 papers). Jing Yu is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), Amino Acid Enzymes and Metabolism (9 papers) and Breast Cancer Treatment Studies (7 papers). Jing Yu collaborates with scholars based in China, New Zealand and United States. Jing Yu's co-authors include Nianyong Chen, Yuping Deng, Stefan Gravenstein, Ping Liu, Richard R. Drake, Nicola D. Collie, P. Liu, H. Zhang, Hu Zhang and H. Kim Lyerly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Cancer Research.

In The Last Decade

Jing Yu

80 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Yu China 24 733 407 317 290 206 82 1.7k
Yang Wu China 24 855 1.2× 255 0.6× 278 0.9× 261 0.9× 131 0.6× 91 1.7k
Guangmei Yan China 29 1.1k 1.5× 234 0.6× 379 1.2× 476 1.6× 82 0.4× 107 2.1k
Maura Calvani Italy 20 1.0k 1.4× 165 0.4× 686 2.2× 364 1.3× 148 0.7× 53 2.0k
Joaquín Fernández‐Irigoyen Spain 25 730 1.0× 277 0.7× 120 0.4× 204 0.7× 366 1.8× 140 2.0k
Peng Huang China 25 862 1.2× 174 0.4× 321 1.0× 364 1.3× 95 0.5× 82 1.8k
Xiao‐Feng Zhu China 26 1.4k 1.9× 298 0.7× 624 2.0× 426 1.5× 101 0.5× 105 2.5k
Honghong Zhang China 22 751 1.0× 262 0.6× 262 0.8× 488 1.7× 154 0.7× 79 1.7k
Nabil Hajji United Kingdom 19 1.1k 1.5× 285 0.7× 228 0.7× 219 0.8× 262 1.3× 36 2.0k
Liang Yang China 22 477 0.7× 382 0.9× 197 0.6× 307 1.1× 266 1.3× 67 1.7k
Katarzyna Mnich Ireland 17 1.6k 2.2× 298 0.7× 226 0.7× 159 0.5× 275 1.3× 24 2.7k

Countries citing papers authored by Jing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yu. A scholar is included among the top collaborators of Jing 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 Jing Yu. Jing Yu 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.
Ge, Qian, Qing Huo, Jing Yu, et al.. (2025). Endocannabinoids inhibit contextual fear memory generalization via hippocampal GABAergic synaptic transmission. Proceedings of the National Academy of Sciences. 122(32). e2423974122–e2423974122.
2.
Li, Xue, Kaipeng Jing, Ping Song, & Jing Yu. (2025). Aged polystyrene microplastics exacerbate cadmium-induced hepatotoxicity in zebrafish through gut-liver axis metabolic dysregulation. Environmental Chemistry and Ecotoxicology. 7. 859–871. 3 indexed citations
3.
Xie, Min, Jing Yu, & Xiangdong Xue. (2023). EP06.02-07 Tertiary Lymphoid Structures Predict Clinical Outcomes of Neoadjuvant Chemoimmunotherapy in Resectable NSCLC. Journal of Thoracic Oncology. 18(11). S481–S482. 1 indexed citations
4.
Dong, Shuwen, Jing Yu, Xiaosong Chen, & Kunwei Shen. (2023). Association of serum lipid levels and clinical outcomes in early breast cancer patients. Therapeutic Advances in Medical Oncology. 15. 2621740–2621740. 6 indexed citations
5.
Liu, Yuxuan, Jing Yu, Lin Ye, et al.. (2022). Advances in Single-Cell Toxicogenomics in Environmental Toxicology. Environmental Science & Technology. 56(16). 11132–11145. 12 indexed citations
6.
Tong, Yiwei, Jiahui Huang, Jing Yu, et al.. (2022). Association of tumor immune microenvironment profiling and 21-gene recurrence assay in early breast cancer patients. European journal of medical research. 27(1). 293–293. 4 indexed citations
7.
Xiong, Ao, Ren‐Ping Xiong, Jing Yu, et al.. (2021). Aquaporin-4 is a potential drug target for traumatic brain injury via aggravating the severity of brain edema. Burns & Trauma. 9. tkaa050–tkaa050. 24 indexed citations
8.
Yu, Jing, Jiayi Wu, Ou Huang, Xiaosong Chen, & Kunwei Shen. (2021). A Smartphone-Based App to Improve Adjuvant Treatment Adherence to Multidisciplinary Decisions in Patients With Early-Stage Breast Cancer: Observational Study. Journal of Medical Internet Research. 23(9). e27576–e27576. 18 indexed citations
9.
Yu, Jing, Jiayi Wu, Ou Huang, et al.. (2021). A nomogram to predict the high-risk RS in HR+/HER2-breast cancer patients older than 50 years of age. Journal of Translational Medicine. 19(1). 75–75. 4 indexed citations
10.
Yu, Jing, et al.. (2020). FAM83A Is a Prognosis Signature and Potential Oncogene of Lung Adenocarcinoma. DNA and Cell Biology. 39(5). 890–899. 28 indexed citations
11.
Yu, Jing, et al.. (2020). Altered brain arginine metabolism with age in the APPswe/PSEN1dE9 mouse model of Alzheimer's disease. Neurochemistry International. 140. 104798–104798. 11 indexed citations
12.
Zhang, Jiaxian, Jing Yu, Hu Zhang, David K. Bilkey, & Ping Liu. (2017). Effects of maternal immune activation on brain arginine metabolism of postnatal day 2 rat offspring. Schizophrenia Research. 192. 431–441. 12 indexed citations
13.
14.
Zhou, Xinna, Jing Yu, Wenmiao Wang, et al.. (2015). A phase I dose-escalation study of a biosimilar trastuzumab in Chinese metastasis breast cancer patients. SpringerPlus. 4(1). 803–803. 15 indexed citations
15.
Liang, Xu, Jie Zhang, Xinna Zhou, et al.. (2012). Specific genetic polymorphisms of IL10-592 AA and IL10-819 TT genotypes lead to the key role for inducing docetaxel-induced liver injury in breast cancer patients. Clinical & Translational Oncology. 15(4). 331–334. 18 indexed citations
16.
Ma, Bo, Hanfang Jiang, Jun Jia, et al.. (2012). Murine bone marrow stromal cells pulsed with homologous tumor-derived exosomes inhibit proliferation of liver cancer cells. Clinical & Translational Oncology. 14(10). 764–773. 25 indexed citations
17.
Di, Lijun, Jun Jia, Jing Yu, et al.. (2012). Clinical safety of induced CTL infusion through recombinant adeno-associated virus-transfected dendritic cell vaccination in Chinese cancer patients. Clinical & Translational Oncology. 14(9). 675–681. 16 indexed citations
18.
Liu, P., N. Gupta, Jing Yu, & H. Zhang. (2008). Age-related changes in polyamines in memory-associated brain structures in rats. Neuroscience. 155(3). 789–796. 74 indexed citations
19.
20.
Yu, Jing, Stefan Gravenstein, N. Rao Chaganty, et al.. (2007). Aging is associated with a rapid decline in frequency, alterations in subset composition, and enhanced Th2 response in CD1d-restricted NKT cells from human peripheral blood. Experimental Gerontology. 42(8). 719–732. 83 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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