Ping Jin

1.6k total citations
29 papers, 725 citations indexed

About

Ping Jin is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ping Jin has authored 29 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ping Jin's work include Neurobiology and Insect Physiology Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Ping Jin is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Ping Jin collaborates with scholars based in China, United States and Australia. Ping Jin's co-authors include R. K. Murphey, Tao Guo, Philip W. Becraft, Qinglei Gao, Edouard C. Nice, Sen Xu, Zongyuan Yang, Canhua Huang, Xin Yang and Wei Xiao and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of Neurophysiology.

In The Last Decade

Ping Jin

26 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Jin China 15 459 199 156 96 74 29 725
Hye Jin Nam South Korea 16 707 1.5× 195 1.0× 160 1.0× 57 0.6× 41 0.6× 28 953
Naoyuki Takada Japan 11 579 1.3× 108 0.5× 239 1.5× 172 1.8× 49 0.7× 16 904
Jacqueline L. Avila United States 6 449 1.0× 114 0.6× 190 1.2× 37 0.4× 37 0.5× 9 769
Bojan Drobic Canada 12 600 1.3× 94 0.5× 117 0.8× 64 0.7× 28 0.4× 13 775
Juan Díaz‐Martín Spain 17 492 1.1× 241 1.2× 128 0.8× 45 0.5× 190 2.6× 31 871
Mary Risinger United States 16 594 1.3× 114 0.6× 125 0.8× 146 1.5× 40 0.5× 30 974
Kyle Halliwill United States 10 348 0.8× 197 1.0× 253 1.6× 63 0.7× 15 0.2× 16 662
Xiaochao Tan United States 17 636 1.4× 392 2.0× 156 1.0× 25 0.3× 29 0.4× 31 955
Jernej Murn United States 14 967 2.1× 125 0.6× 108 0.7× 59 0.6× 38 0.5× 27 1.2k
Maxim Poustovoitov United States 7 749 1.6× 77 0.4× 131 0.8× 55 0.6× 50 0.7× 9 941

Countries citing papers authored by Ping Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ping Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Jin. A scholar is included among the top collaborators of Ping Jin 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 Ping Jin. Ping Jin 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.
Dreyzin, Alexandra, Lipei Shao, Yihua Cai, et al.. (2025). Immunophenotype of CAR T cells and apheresis products predicts response in CD22 CAR T cell trial for B cell acute lymphoblastic leukemia. Molecular Therapy. 33(7). 3360–3374. 3 indexed citations
2.
Tang, Ziqi, et al.. (2025). Review of Environmental Occurrence and Toxicity of Benzotriazole Ultraviolet Stabilizers. Environment & Health. 3(12). 1438–1455.
3.
Wang, Chih‐Ming, et al.. (2025). Metafluidic shaping: Simultaneous flow uniformity and drag reduction. Europhysics Letters (EPL). 151(5). 53001–53001.
4.
5.
Xu, Xinyuan, Shasha Zhang, Dengqing Cao, et al.. (2025). Deciphering early molecular responses to benzotriazole ultraviolet stabilizers-induced toxicity using a dose-dependent yeast functional genomics approach. Environmental Pollution. 380. 126573–126573. 2 indexed citations
6.
Shao, Li‐Dong, Ruizheng Shi, Yujiao Cai, et al.. (2024). SINGLE-CELL TRANSCRIPTOME ANALYSIS REVEALS DISTINCT CHARACTERISTICS OF ANTI-CD22 CAR T-CELL INFUSION PRODUCTS ASSOCIATED WITH EFFICACY AND TOXICITY. Cytotherapy. 26(6). S12–S13. 1 indexed citations
7.
Jin, Ping, Yu Xia, Huayi Li, et al.. (2023). Bepotastine Sensitizes Ovarian Cancer to PARP Inhibitors through Suppressing NF-κB–Triggered SASP in Cancer-Associated Fibroblasts. Molecular Cancer Therapeutics. 22(4). 447–458. 9 indexed citations
8.
Xu, Cheng, Yu Xia, Emmanuel Kwateng Drokow, et al.. (2023). Macrophages facilitate tumor cell PD‐L1 expression via an IL‐1β‐centered loop to attenuate immune checkpoint blockade. SHILAP Revista de lepidopterología. 4(2). e242–e242. 19 indexed citations
9.
Liu, Jiahao, Xiaofei Jiao, Shaoqing Zeng, et al.. (2022). Oncological big data platforms for promoting digital competencies and professionalism in Chinese medical students: a cross-sectional study. BMJ Open. 12(9). e061015–e061015. 2 indexed citations
10.
Zhou, Li, Jingwen Jiang, Zhao Huang, et al.. (2022). Hypoxia-induced lncRNA STEAP3-AS1 activates Wnt/β-catenin signaling to promote colorectal cancer progression by preventing m6A-mediated degradation of STEAP3 mRNA. Molecular Cancer. 21(1). 168–168. 107 indexed citations
11.
Li, Xiaoting, Tian Fang, Sen Xu, et al.. (2021). PARP inhibitors promote stromal fibroblast activation by enhancing CCL5 autocrine signaling in ovarian cancer. npj Precision Oncology. 5(1). 49–49. 18 indexed citations
12.
Jin, Ping, Jingwen Jiang, Na Xie, et al.. (2019). MCT1 relieves osimertinib-induced CRC suppression by promoting autophagy through the LKB1/AMPK signaling. Cell Death and Disease. 10(8). 615–615. 44 indexed citations
13.
Xu, Sen, Zongyuan Yang, Ping Jin, et al.. (2018). Metformin Suppresses Tumor Progression by Inactivating Stromal Fibroblasts in Ovarian Cancer. Molecular Cancer Therapeutics. 17(6). 1291–1302. 83 indexed citations
14.
Yang, Zongyuan, Xin Yang, Sen Xu, et al.. (2017). Reprogramming of stromal fibroblasts by SNAI2 contributes to tumor desmoplasia and ovarian cancer progression. Molecular Cancer. 16(1). 163–163. 53 indexed citations
15.
Chen, Juan, Rong Hu, Huabao Liao, et al.. (2017). A non-ionotropic activity of NMDA receptors contributes to glycine-induced neuroprotection in cerebral ischemia-reperfusion injury. Scientific Reports. 7(1). 3575–3575. 41 indexed citations
16.
Jin, Ping, Kui Wang, Canhua Huang, & Edouard C. Nice. (2017). Mining the fecal proteome: from biomarkers to personalised medicine. Expert Review of Proteomics. 14(5). 445–459. 34 indexed citations
17.
Chen, Juan, Yang Zhuang, Zhifeng Zhang, et al.. (2016). Glycine confers neuroprotection through microRNA-301a/PTEN signaling. Molecular Brain. 9(1). 59–59. 23 indexed citations
18.
Yang, Zongyuan, Yi Liu, Xiaoshui Zhou, et al.. (2015). Co-targeting EGFR and Autophagy Impairs Ovarian Cancer Cell Survival during Detachment from the ECM. Current Cancer Drug Targets. 15(3). 215–226. 14 indexed citations
19.
Jin, Ping, Tao Guo, & Philip W. Becraft. (2000). The maize CR4 receptor-like kinase mediates a growth factor-like differentiation response. genesis. 27(3). 104–116. 65 indexed citations
20.
Jin, Ping, et al.. (1997). Mutant molecular motors disrupt neural circuits inDrosophila. Journal of Neurobiology. 33(6). 711–723. 47 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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