Jing Yu

1.5k total citations
64 papers, 1.1k citations indexed

About

Jing Yu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Jing Yu has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 23 papers in Pulmonary and Respiratory Medicine and 18 papers in Molecular Biology. Recurrent topics in Jing Yu's work include Lung Cancer Treatments and Mutations (10 papers), Cancer-related molecular mechanisms research (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Jing Yu is often cited by papers focused on Lung Cancer Treatments and Mutations (10 papers), Cancer-related molecular mechanisms research (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Jing Yu collaborates with scholars based in China, Ethiopia and United Kingdom. Jing Yu's co-authors include Xiaoting Ma, Lei Zhao, Bangwei Cao, Qingsheng Qi, Yue Zhang, Qian Wang, Lian Liu, Jia Wei, Zhaoxin Chen and Ling Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Jing Yu

60 papers receiving 1.1k 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 20 452 321 255 207 174 64 1.1k
Pedro Castelo‐Branco Portugal 21 853 1.9× 329 1.0× 248 1.0× 241 1.2× 161 0.9× 47 1.4k
Na Zhan China 21 799 1.8× 333 1.0× 337 1.3× 242 1.2× 180 1.0× 73 1.5k
Jie Ma China 18 451 1.0× 209 0.7× 238 0.9× 157 0.8× 149 0.9× 53 1.0k
Takako Nomura Japan 21 446 1.0× 171 0.5× 197 0.8× 116 0.6× 164 0.9× 78 1.2k
Sunan Shen China 17 875 1.9× 423 1.3× 624 2.4× 157 0.8× 361 2.1× 37 1.6k
S. Hauptmann Germany 20 668 1.5× 346 1.1× 297 1.2× 128 0.6× 176 1.0× 50 1.5k
Jintang Sun China 24 435 1.0× 321 1.0× 207 0.8× 82 0.4× 681 3.9× 47 1.4k
Ping Ji China 21 1.1k 2.4× 253 0.8× 651 2.6× 132 0.6× 287 1.6× 67 1.6k
Giuseppe Gattuso Italy 18 551 1.2× 144 0.4× 323 1.3× 133 0.6× 98 0.6× 35 1.2k

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.
Zhang, Qiang, Kaisa Cui, Yue Kong, et al.. (2025). Targeting both the enzymatic and non-enzymatic functions of DHODH as a therapeutic vulnerability in c-Myc-driven cancer. Cell Reports. 44(3). 115327–115327. 4 indexed citations
2.
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Li, Li, et al.. (2024). Effect of virtual reality-based visual training for myopia control in children: a randomized controlled trial. BMC Ophthalmology. 24(1). 358–358. 3 indexed citations
5.
Wang, Shan, Xiaolin Liu, Hongwei Lv, Jing Yu, & Huihui Li. (2024). The detection of circulating tumor cells indicates poor therapeutic efficacy and prognosis in patients with nonsmall cell lung cancer: A systematic review and meta‐analysis. Journal of Evidence-Based Medicine. 17(2). 329–340. 1 indexed citations
6.
Wang, Shan, Hongwei Lv, Jing Yu, & Miao Chen. (2024). Immune-related adverse events associated with first-line immune checkpoint inhibitors for metastatic renal cell carcinoma: A systematic review and network meta-analysis. International Immunopharmacology. 131. 111884–111884.
7.
Zhang, Qiang, Shubiao Ye, Junli Gong, et al.. (2023). Reprogramming of palmitic acid induced by dephosphorylation of ACOX1 promotes β-catenin palmitoylation to drive colorectal cancer progression. Cell Discovery. 9(1). 26–26. 47 indexed citations
8.
Ma, Xiaoting, Yujian Zhang, Cong Wang, & Jing Yu. (2022). Efficacy and safety of combination chemotherapy regimens containing taxanes for first-line treatment in advanced gastric cancer. Clinical and Experimental Medicine. 23(2). 381–396. 1 indexed citations
9.
Chen, Zhaoxin, et al.. (2022). LIPG is a novel prognostic biomarker and correlated with immune infiltrates in lung adenocarcinoma. Journal of Clinical Laboratory Analysis. 37(1). e24824–e24824. 4 indexed citations
10.
Huang, Guoxin, Jie Wang, Kaizhen Liu, et al.. (2022). Effect of Flaxseed Supplementation on Milk and Plasma Fatty Acid Composition and Plasma Parameters of Holstein Dairy Cows. Animals. 12(15). 1898–1898. 9 indexed citations
11.
Jia, Jun, et al.. (2021). Phase 1 dose-escalation study of apatinib and irinotecan in esophageal squamous cell carcinoma patients. Translational Cancer Research. 10(2). 627–636. 3 indexed citations
12.
Chen, Junhao, Xiaohong Li, Yumei Liu, et al.. (2021). Engineering a probiotic strain of Escherichia coli to induce the regression of colorectal cancer through production of 5‐aminolevulinic acid. Microbial Biotechnology. 14(5). 2130–2139. 26 indexed citations
13.
Ma, Xiaoting, et al.. (2021). Immune checkpoint inhibitor (ICI) combination therapy compared to monotherapy in advanced solid cancer: A systematic review. Journal of Cancer. 12(5). 1318–1333. 42 indexed citations
14.
Huang, Guoxin, Yangdong Zhang, Qingbiao Xu, et al.. (2020). DHA content in milk and biohydrogenation pathway in rumen: a review. PeerJ. 8. e10230–e10230. 24 indexed citations
15.
Lin, Fang‐Ju, et al.. (2020). Tumor-educated platelet as liquid biopsy in lung cancer patients. Critical Reviews in Oncology/Hematology. 146. 102863–102863. 37 indexed citations
16.
Zhang, Lei, et al.. (2020). <p>A Sensitive and Simplified Classifier of Cervical Lesions Based on a Methylation-Specific PCR Assay: A Chinese Cohort Study</p>. Cancer Management and Research. Volume 12. 2567–2576. 9 indexed citations
17.
Liu, Ying, et al.. (2017). Efficiency evaluation of carbapenem inactivation method for screening carbapenemase-producing Enterobacteriaceae. Laboratory Medicine. 32(7). 628. 1 indexed citations
18.
Chen, Chao, et al.. (2017). Comparative analysis of cytomegalovirus retinitis and microvascular retinopathy in patients with acquired immunodeficiency syndrome. International Journal of Ophthalmology. 10(9). 1396–1401. 7 indexed citations
19.
Wen, Chunjie, Lanxiang Wu, Lijuan Fu, et al.. (2014). Preferential Induction of CYP1A1 over CYP1B1 in Human Breast Cancer MCF-7 Cells after Exposure to Berberine. Asian Pacific Journal of Cancer Prevention. 15(1). 495–499. 14 indexed citations
20.
Wang, Xiaoqiu, Jing Yu, Xuezhen Luo, et al.. (2010). The high level of RANTES in the ectopic milieu recruits macrophages and induces their tolerance in progression of endometriosis. Journal of Molecular Endocrinology. 45(5). 291–299. 54 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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